The upcoming release of FieldStere will enable fragment growing, This presentation will introduce the current operation and results then focus on the new features that enable more complex bioisostere searching experiments.
Mark Mackey, Cresset, 'Meet Molecular Architect, A new product for understand...Cresset
Dr. Mark Mackey is the Chief Scientific Officer at Molecular Architect. He discusses using molecular fields and field points to align molecules and generate 3D-QSAR models. He provides examples of building successful 3D-QSAR models for a small SARS dataset using a guided alignment and for a large NK3 receptor antagonist dataset after predicting the binding mode. Molecular Architect combines field-based alignment and QSAR modeling into an interactive tool to aid in drug design.
Materials Modelling: From theory to solar cells (Lecture 1)cdtpv
This document provides an overview of a mini-module on materials modelling for solar energy applications. It introduces the lecturers and outlines the course structure, which includes lectures on modelling, interfaces, and multi-scale approaches. It also describes a literature review activity where students will present a research paper using materials modelling in photovoltaics. Recommended textbooks are provided on topics like bonding in solids, computational chemistry, and density functional theory for solids.
Sparsity Normalization: Stabilizing the Expected Outputs of Deep NetworksJoonyoung Yi
The learning of deep models, in which a numerous of parameters are superimposed, is known to be a fairly sensitive process and should be carefully done through a combination of several techniques that can help to stabilize it. We introduce an additional challenge that has never been explicitly studied: the heterogeneity of sparsity at the instance level due to missing values or the innate nature of the input distribution. We confirm experimentally on the widely used benchmark datasets that this variable sparsity problem makes the output statistics of neurons unstable and makes the learning process more difficult by saturating non-linearities. We also provide the analysis of this phenomenon, and based on our analysis, we present a simple technique to prevent this issue, referred to as Sparsity Normalization (SN). Finally, we show that the performance can be significantly improved with SN on certain popular benchmark datasets, or that similar performance can be achieved with lower capacity. Especially focusing on the collaborative filtering problem where the variable sparsity issue has been completely ignored, we achieve new state-of-the-art results on Movielens 100k and 1M datasets, by simply applying Sparsity Normalization (SN).
https://arxiv.org/abs/1906.00150
This document summarizes the numerical analysis of a 4x1 microstrip patch antenna array operating at 10 GHz. It presents the equations for the E-field and H-field of a single patch element and the 4-element array. Radiation patterns generated in MATLAB are presented for both the single element and array. The E-field pattern of the array is more concentrated than the single element, indicating increased gain and directivity due to the additional elements. In conclusion, increasing the number of patches enhances antenna performance.
This document describes an automated clustering and outlier detection program. The program normalizes data, performs principal component analysis to select important components, compares clustering algorithms, selects the best model using silhouette values, and produces outputs labeling clusters and outliers. It is demonstrated on a sample of 5,000 credit card customer records, identifying a small cluster of 3 accounts as outliers based on features like new status and high late payments.
This document analyzes the structural properties of poly(3-hexylthiophene-2,5-diyl) (P3HT) based on spectroscopic, scattering, and visual data from various sources. The analysis finds that P3HT exhibits a crystalline structure when in solution or thin films. Unit cell dimensions of 17 Angstroms and 7.58 Angstroms were measured, with the majority of polymer chains stacked edge-on with some face-on stacking. Absorption spectra indicate an electronic band gap of 2.06 eV, corresponding to an average conjugation length of around 10 thiophene monomers.
Three complementary split spiral resonators (CSSRs) are used to reduce mutual coupling between two nearby microstrip patch antennas operating at 6.58 GHz. Simulation and measurement results show that using three vertically arranged CSSRs etched on the ground plane reduces the mutual coupling between the antennas by 23 dB. Characterization of the CSSR unit cell shows it behaves as a single negative metamaterial. The CSSRs block surface waves on the substrate to minimize coupling between the antenna elements while maintaining a low-profile compact structure with minimal impact on antenna performance.
Scheelite CGEW/MO for luminescence - Summary of the paperJoke Hadermann
This document summarizes a research paper that studied the incommensurate modulation and luminescence properties of CaGd2(1-x)Eu2x(MoO4)4(1-y)(WO4)4y phosphors. The researchers found that these materials exhibit incommensurate modulation of the cation ordering due to vacancies in the scheelite structure, which requires description in superspace. Replacing Mo6+ with W6+ switched the modulation from 3+2D to 3+1D, despite their similar sizes. Variations in Eu content changed luminescence intensity but not the modulation periodicity. The results contradict prior reports of simple ordered structures.
Mark Mackey, Cresset, 'Meet Molecular Architect, A new product for understand...Cresset
Dr. Mark Mackey is the Chief Scientific Officer at Molecular Architect. He discusses using molecular fields and field points to align molecules and generate 3D-QSAR models. He provides examples of building successful 3D-QSAR models for a small SARS dataset using a guided alignment and for a large NK3 receptor antagonist dataset after predicting the binding mode. Molecular Architect combines field-based alignment and QSAR modeling into an interactive tool to aid in drug design.
Materials Modelling: From theory to solar cells (Lecture 1)cdtpv
This document provides an overview of a mini-module on materials modelling for solar energy applications. It introduces the lecturers and outlines the course structure, which includes lectures on modelling, interfaces, and multi-scale approaches. It also describes a literature review activity where students will present a research paper using materials modelling in photovoltaics. Recommended textbooks are provided on topics like bonding in solids, computational chemistry, and density functional theory for solids.
Sparsity Normalization: Stabilizing the Expected Outputs of Deep NetworksJoonyoung Yi
The learning of deep models, in which a numerous of parameters are superimposed, is known to be a fairly sensitive process and should be carefully done through a combination of several techniques that can help to stabilize it. We introduce an additional challenge that has never been explicitly studied: the heterogeneity of sparsity at the instance level due to missing values or the innate nature of the input distribution. We confirm experimentally on the widely used benchmark datasets that this variable sparsity problem makes the output statistics of neurons unstable and makes the learning process more difficult by saturating non-linearities. We also provide the analysis of this phenomenon, and based on our analysis, we present a simple technique to prevent this issue, referred to as Sparsity Normalization (SN). Finally, we show that the performance can be significantly improved with SN on certain popular benchmark datasets, or that similar performance can be achieved with lower capacity. Especially focusing on the collaborative filtering problem where the variable sparsity issue has been completely ignored, we achieve new state-of-the-art results on Movielens 100k and 1M datasets, by simply applying Sparsity Normalization (SN).
https://arxiv.org/abs/1906.00150
This document summarizes the numerical analysis of a 4x1 microstrip patch antenna array operating at 10 GHz. It presents the equations for the E-field and H-field of a single patch element and the 4-element array. Radiation patterns generated in MATLAB are presented for both the single element and array. The E-field pattern of the array is more concentrated than the single element, indicating increased gain and directivity due to the additional elements. In conclusion, increasing the number of patches enhances antenna performance.
This document describes an automated clustering and outlier detection program. The program normalizes data, performs principal component analysis to select important components, compares clustering algorithms, selects the best model using silhouette values, and produces outputs labeling clusters and outliers. It is demonstrated on a sample of 5,000 credit card customer records, identifying a small cluster of 3 accounts as outliers based on features like new status and high late payments.
This document analyzes the structural properties of poly(3-hexylthiophene-2,5-diyl) (P3HT) based on spectroscopic, scattering, and visual data from various sources. The analysis finds that P3HT exhibits a crystalline structure when in solution or thin films. Unit cell dimensions of 17 Angstroms and 7.58 Angstroms were measured, with the majority of polymer chains stacked edge-on with some face-on stacking. Absorption spectra indicate an electronic band gap of 2.06 eV, corresponding to an average conjugation length of around 10 thiophene monomers.
Three complementary split spiral resonators (CSSRs) are used to reduce mutual coupling between two nearby microstrip patch antennas operating at 6.58 GHz. Simulation and measurement results show that using three vertically arranged CSSRs etched on the ground plane reduces the mutual coupling between the antennas by 23 dB. Characterization of the CSSR unit cell shows it behaves as a single negative metamaterial. The CSSRs block surface waves on the substrate to minimize coupling between the antenna elements while maintaining a low-profile compact structure with minimal impact on antenna performance.
Scheelite CGEW/MO for luminescence - Summary of the paperJoke Hadermann
This document summarizes a research paper that studied the incommensurate modulation and luminescence properties of CaGd2(1-x)Eu2x(MoO4)4(1-y)(WO4)4y phosphors. The researchers found that these materials exhibit incommensurate modulation of the cation ordering due to vacancies in the scheelite structure, which requires description in superspace. Replacing Mo6+ with W6+ switched the modulation from 3+2D to 3+1D, despite their similar sizes. Variations in Eu content changed luminescence intensity but not the modulation periodicity. The results contradict prior reports of simple ordered structures.
This document summarizes the state and future plans of Cresset, a company that provides computational tools for drug discovery. It discusses that Cresset has experienced business growth in recent years and aims to continue expanding. Key points include:
- Cresset grew business 25% from 2009-2010 and projects over 35% growth from 2010-2011.
- The scientific focus is on completing version 3 of their flagship software FieldForce and applying their field-based approaches to new areas like protein surfaces.
- Strategic plans involve strengthening existing tools, exploring new applications, and expanding service offerings and delivery platforms.
This document summarizes new features in Cresset software products. It describes updates to Forge for medicinal chemists, including new activity miner and QSAR modeling modules. It also outlines improvements to the Blaze virtual screening platform, such as faster search methods and a new REST API. Additionally, updates to the Spark reagent database tool are provided, like rules for converting reagents into chemical fragments.
Smart drug re profiling using computational chemistry tools novel biology and...Cresset
Re-Pharm is a pharmaceutical company that focuses on repositioning existing compounds for new indications. They use a combination of biological understanding and computational tools from Cresset to identify new potential uses for compounds. Their lead candidate, RP0217, was identified through virtual screening as having activity against a novel inflammatory target. Preclinical studies demonstrate RP0217 has anti-inflammatory effects alone and synergizes with steroids at very low doses, indicating potential for reduced steroid use. RP0217 comes from an old drug class with extensive safety history, presenting an opportunity for an expedited development path. Re-Pharm seeks licensing partners for RP0217 in various inflammatory indications.
Comparing the electrostatic properties of protein active sites and other cres...Cresset
This document discusses using 3D-RISM and protein electrostatic fields to analyze protein-ligand interactions. 3D-RISM is an analytical method that can determine solvent densities around proteins. The document compares using the XED force field versus GAFF to model electrostatics, finding better results with XED. It also describes using protein electrostatic "field points" to identify potential ligand binding sites and compare protein similarity. Several challenges are noted, including preparing proteins and defining active sites, but initial results look promising.
Matched molecular pair and activity cliffs publishedCresset
In this presentation I present our research into using 3D methods to detect and interpret activity cliffs using Activity Miner. I will show that considering the shape and especially the electrostatic environment around a pair of molecules results in a richer more informed view of the factors causing changes in activity and a hypothesis driven understanding of existing SAR.
ICIC 2014 Knowledge-Based De Novo Molecular Design Using ICSYNTH FRPDr. Haxel Consult
A new knowledge-based approach to the de novo design of synthetically feasible molecules is described. The method is based on specifically designed transform libraries abstracted from reaction databases. The structure generation process is based on conceptual chemistry and the degree of complexity introduced in the new structures can be modulated using specific parameters. Furthermore, this new system allows the integration of the results obtained in different workflows to calculate/predict other important physico-chemical properties of the new suggested molecules.
This document provides an introduction to drug design and discovery. It discusses finding a lead compound through screening natural products, existing drugs, and synthetic compound libraries. Once a lead is identified, its structure is determined using techniques like X-ray crystallography and NMR spectroscopy. The lead is then optimized for target interactions and access to the target through strategies like structure-activity relationships, pharmacophore identification, and prodrug design. Drug design aims to improve properties like absorption, resistance to degradation, toxicity reduction, and targeting to specific sites. Developing new drugs is a lengthy process built upon past failures and advances in biological understanding.
Computational drug design uses computer-aided drug design (CADD) approaches like structure-based drug design, ligand-based drug design, and protein-ligand docking to rationally design new drug candidates. These CADD approaches leverage information about protein and ligand structures to predict how well potential drug molecules may bind to their target without relying on experimental screening. Key techniques include pharmacophore modeling, virtual screening, and predicting the binding pose and affinity of ligands docked in the target protein's active site. Accurate preparation of the protein structure is important for successful structure-based drug design applications like protein-ligand docking.
1) The document discusses the basics of drug design including defining the disease process, identifying targets for drug design like enzymes, receptors and nucleic acids, and the different approaches of ligand-based drug design and structure-based drug design.
2) It also covers important techniques in drug design like computer-aided drug design using computational methods, quantitative structure-activity relationships (QSAR), and the uses of computer graphics in molecular modeling and dynamics simulations.
3) Important experimental techniques discussed are x-ray crystallography and NMR spectroscopy that provide structural information for target biomolecules essential for structure-based drug design.
Molecular docking tools aim to predict the binding mode of ligands to protein receptors. The main tasks are sampling ligand conformations and scoring protein-ligand complexes. Early methods treated proteins and ligands as rigid bodies, while newer methods introduce flexibility. Popular algorithms include Monte Carlo, molecular dynamics, simulated annealing and genetic algorithms. Scoring functions evaluate shape complementarity, empirical potentials, force fields or knowledge-based potentials derived from protein-ligand structures. Consensus scoring integrating multiple functions improves binding affinity prediction over single functions.
Molecular docking involves determining the optimal orientation of two biological molecules to maximize their interaction and minimize their total energy. It is important for understanding protein-protein interactions and rational drug design. Docking programs represent molecule surfaces and match them to find orientations, evaluating via scoring functions like shape complementarity, empirical potentials, or knowledge-based potentials derived from protein structures. Common techniques include representing surfaces as spheres or alpha shapes, and optimization methods like Monte Carlo, molecular dynamics, or genetic algorithms to introduce flexibility.
The document provides an overview of protein-ligand docking, which is a computational method used in structure-based drug design to predict how small molecules bind to proteins. It discusses key components of docking software including search algorithms that generate poses of ligands in the binding site and scoring functions that calculate binding affinity scores. The document also touches on uses of docking like virtual screening and pose prediction, as well as considerations like flexible docking and handling protein conformations.
NANO281 is the University of California San Diego NanoEngineering Department's first course on the application of data science in materials science. It is taught by Professor Shyue Ping Ong of the Materials Virtual Lab (http://www.materialsvirtuallab.org).
Dislocation Density in Multicomponent Alloys CoNi, CoFeNiIRJET Journal
This document discusses dislocation density in multi-component alloys CoNi and CoFeNi. It begins with an introduction to high entropy alloys and their properties. It then discusses the definition and calculation of dislocation density using X-ray diffraction peak broadening analysis. The document describes preparing CoNi, CoFeNi alloys by mechanical alloying and casting and characterizing the structural properties using X-ray diffraction to analyze dislocation density behavior.
Key benefits ADF modeling suite
One-stop modeling shop
Excellent software suite for tackling the most challenging problems in materials science and chemistry. Easy set up and analysis with GUI.
Fast computational toolbox
Working with hardware vendors, we optimize our codes for desktop computers and parallel supercomputers. Latest algorithms.
Heavy elements, spectroscopy, organic electronics
High-quality all-electron Slater basis sets for all elements. Accurate relativity. Many spectroscopic properties, from NMR to X-ray.
Unique organic electronics tools: charge transport, phosphorescence.
Understand chemical bonding
Unique insight in chemical bonds with many chemical analysis tools. Balanced charge decomposition schemes and density analysis tools.
Hassle-free installation, free trial
With parallel binaries for all popular platforms, the entire ADF suite installs out of the box. Try out our powerful modeling tools for free: http://www.scm.com/trial
Discuss your science with experts
With decades of experience, our expert support team (PhDs in chemistry & physics) will help you with any queries that may arise.
This document summarizes a presentation on tools and protocols for drug design using density functional theory (DFT). It introduces computer-aided drug design and molecular modeling techniques like quantum mechanics, semi-empirical methods, and DFT. Applications of these methods include structure optimization, calculating properties like HOMO-LUMO energies, and molecular docking for drug discovery. Several examples are provided of using DFT calculations to model drug-receptor binding and evaluate compounds for treating diseases.
Molecular docking involves sampling ligand conformations and orientations within a protein binding site, and scoring the protein-ligand complexes to identify favorable binding geometries. Key aspects of docking include accounting for ligand and protein flexibility using methods like Monte Carlo, molecular dynamics, or genetic algorithms. Scoring functions evaluate shape complementarity and chemical interactions like hydrogen bonding, hydrophobic effects, and empirical or knowledge-based terms fit to binding affinity data. Consensus scoring integrates multiple scoring schemes to improve virtual screening accuracy over single functions. While docking false positive rates remain high, consensus approaches combined with experimental validation can suggest novel protein-ligand interactions.
Theoretical Investigation on CuxV2-xO5 where x=0, 0.5 Using Density Functiona...IRJET Journal
This document presents a theoretical investigation of V2O5 and Cu0.5V1.5O5 using density functional theory. The calculations were performed using the Vienna Ab-initio Simulation Package. For V2O5, the lattice parameters were underestimated by 1-1.5% compared to experimental values. The bulk modulus was overestimated. V2O5 had a direct bandgap of 2.28 eV and a cohesive energy of 8.67 eV. For Cu0.5V1.5O5, there was no bandgap between the valence and conduction bands, making it conductive. Its cohesive energy was lower than V2O5, indicating V2O5 is more stable.
1) The document discusses strategies for designing targeted arrays to screen nuclear receptor ligands, including defining nuclear receptor chemical space and using x-ray crystallography data to assess potential ligands.
2) Virtual arrays are generated and analyzed using shape and pharmacophore matching tools like ROCS to prioritize arrays based on similarity to known receptor ligands.
3) Limitations of the current approach include using a single protein structure, not accounting for flexibility, and limitations of computational docking. Advancing the methods could improve array design for orphan receptors.
This document provides an overview of protein structure analysis tools and techniques:
1) It describes exploring the Protein Data Bank (PDB) to view and analyze X-ray crystallography and NMR protein structures, comparing similar structures, and using tools like FoldX for in silico mutagenesis and homology modeling.
2) Key concepts covered include PDB file formats, atomic coordinates, B-factors, resolution, RMSD, and the principles of X-ray crystallography, NMR structure determination, and homology modeling.
3) Visualization software like YASARA, SwissPDBViewer and PyMOL are introduced for viewing protein structures from the PDB.
Molecular docking is a computer modeling technique used to predict the preferred orientation of one molecule to another when bound to form a stable complex. It involves fitting potential drug molecules into the active site of a protein receptor in order to identify which molecules may bind strongly. There are different approaches to molecular docking including rigid docking which treats molecules as rigid bodies, and flexible docking which accounts for conformational changes in ligands. The goal of docking is to find binding orientations that minimize the total energy of the system and maximize intermolecular interactions in order to predict effective drug candidates.
Design of compound libraries for fragment screening (Feb 2012 version)Peter Kenny
Slimmed down fragment screening library talk presented at University of Adelaide (Dec 2011) and Pharmaxis (Feb 2012). Includes dingo and Maria Sharapova (losing finalist at 2012 Australian Open). The photo for the title slide is of a range finder from the Admiral Graf Spee and was taken in Montevideo.
This document summarizes the state and future plans of Cresset, a company that provides computational tools for drug discovery. It discusses that Cresset has experienced business growth in recent years and aims to continue expanding. Key points include:
- Cresset grew business 25% from 2009-2010 and projects over 35% growth from 2010-2011.
- The scientific focus is on completing version 3 of their flagship software FieldForce and applying their field-based approaches to new areas like protein surfaces.
- Strategic plans involve strengthening existing tools, exploring new applications, and expanding service offerings and delivery platforms.
This document summarizes new features in Cresset software products. It describes updates to Forge for medicinal chemists, including new activity miner and QSAR modeling modules. It also outlines improvements to the Blaze virtual screening platform, such as faster search methods and a new REST API. Additionally, updates to the Spark reagent database tool are provided, like rules for converting reagents into chemical fragments.
Smart drug re profiling using computational chemistry tools novel biology and...Cresset
Re-Pharm is a pharmaceutical company that focuses on repositioning existing compounds for new indications. They use a combination of biological understanding and computational tools from Cresset to identify new potential uses for compounds. Their lead candidate, RP0217, was identified through virtual screening as having activity against a novel inflammatory target. Preclinical studies demonstrate RP0217 has anti-inflammatory effects alone and synergizes with steroids at very low doses, indicating potential for reduced steroid use. RP0217 comes from an old drug class with extensive safety history, presenting an opportunity for an expedited development path. Re-Pharm seeks licensing partners for RP0217 in various inflammatory indications.
Comparing the electrostatic properties of protein active sites and other cres...Cresset
This document discusses using 3D-RISM and protein electrostatic fields to analyze protein-ligand interactions. 3D-RISM is an analytical method that can determine solvent densities around proteins. The document compares using the XED force field versus GAFF to model electrostatics, finding better results with XED. It also describes using protein electrostatic "field points" to identify potential ligand binding sites and compare protein similarity. Several challenges are noted, including preparing proteins and defining active sites, but initial results look promising.
Matched molecular pair and activity cliffs publishedCresset
In this presentation I present our research into using 3D methods to detect and interpret activity cliffs using Activity Miner. I will show that considering the shape and especially the electrostatic environment around a pair of molecules results in a richer more informed view of the factors causing changes in activity and a hypothesis driven understanding of existing SAR.
ICIC 2014 Knowledge-Based De Novo Molecular Design Using ICSYNTH FRPDr. Haxel Consult
A new knowledge-based approach to the de novo design of synthetically feasible molecules is described. The method is based on specifically designed transform libraries abstracted from reaction databases. The structure generation process is based on conceptual chemistry and the degree of complexity introduced in the new structures can be modulated using specific parameters. Furthermore, this new system allows the integration of the results obtained in different workflows to calculate/predict other important physico-chemical properties of the new suggested molecules.
This document provides an introduction to drug design and discovery. It discusses finding a lead compound through screening natural products, existing drugs, and synthetic compound libraries. Once a lead is identified, its structure is determined using techniques like X-ray crystallography and NMR spectroscopy. The lead is then optimized for target interactions and access to the target through strategies like structure-activity relationships, pharmacophore identification, and prodrug design. Drug design aims to improve properties like absorption, resistance to degradation, toxicity reduction, and targeting to specific sites. Developing new drugs is a lengthy process built upon past failures and advances in biological understanding.
Computational drug design uses computer-aided drug design (CADD) approaches like structure-based drug design, ligand-based drug design, and protein-ligand docking to rationally design new drug candidates. These CADD approaches leverage information about protein and ligand structures to predict how well potential drug molecules may bind to their target without relying on experimental screening. Key techniques include pharmacophore modeling, virtual screening, and predicting the binding pose and affinity of ligands docked in the target protein's active site. Accurate preparation of the protein structure is important for successful structure-based drug design applications like protein-ligand docking.
1) The document discusses the basics of drug design including defining the disease process, identifying targets for drug design like enzymes, receptors and nucleic acids, and the different approaches of ligand-based drug design and structure-based drug design.
2) It also covers important techniques in drug design like computer-aided drug design using computational methods, quantitative structure-activity relationships (QSAR), and the uses of computer graphics in molecular modeling and dynamics simulations.
3) Important experimental techniques discussed are x-ray crystallography and NMR spectroscopy that provide structural information for target biomolecules essential for structure-based drug design.
Molecular docking tools aim to predict the binding mode of ligands to protein receptors. The main tasks are sampling ligand conformations and scoring protein-ligand complexes. Early methods treated proteins and ligands as rigid bodies, while newer methods introduce flexibility. Popular algorithms include Monte Carlo, molecular dynamics, simulated annealing and genetic algorithms. Scoring functions evaluate shape complementarity, empirical potentials, force fields or knowledge-based potentials derived from protein-ligand structures. Consensus scoring integrating multiple functions improves binding affinity prediction over single functions.
Molecular docking involves determining the optimal orientation of two biological molecules to maximize their interaction and minimize their total energy. It is important for understanding protein-protein interactions and rational drug design. Docking programs represent molecule surfaces and match them to find orientations, evaluating via scoring functions like shape complementarity, empirical potentials, or knowledge-based potentials derived from protein structures. Common techniques include representing surfaces as spheres or alpha shapes, and optimization methods like Monte Carlo, molecular dynamics, or genetic algorithms to introduce flexibility.
The document provides an overview of protein-ligand docking, which is a computational method used in structure-based drug design to predict how small molecules bind to proteins. It discusses key components of docking software including search algorithms that generate poses of ligands in the binding site and scoring functions that calculate binding affinity scores. The document also touches on uses of docking like virtual screening and pose prediction, as well as considerations like flexible docking and handling protein conformations.
NANO281 is the University of California San Diego NanoEngineering Department's first course on the application of data science in materials science. It is taught by Professor Shyue Ping Ong of the Materials Virtual Lab (http://www.materialsvirtuallab.org).
Dislocation Density in Multicomponent Alloys CoNi, CoFeNiIRJET Journal
This document discusses dislocation density in multi-component alloys CoNi and CoFeNi. It begins with an introduction to high entropy alloys and their properties. It then discusses the definition and calculation of dislocation density using X-ray diffraction peak broadening analysis. The document describes preparing CoNi, CoFeNi alloys by mechanical alloying and casting and characterizing the structural properties using X-ray diffraction to analyze dislocation density behavior.
Key benefits ADF modeling suite
One-stop modeling shop
Excellent software suite for tackling the most challenging problems in materials science and chemistry. Easy set up and analysis with GUI.
Fast computational toolbox
Working with hardware vendors, we optimize our codes for desktop computers and parallel supercomputers. Latest algorithms.
Heavy elements, spectroscopy, organic electronics
High-quality all-electron Slater basis sets for all elements. Accurate relativity. Many spectroscopic properties, from NMR to X-ray.
Unique organic electronics tools: charge transport, phosphorescence.
Understand chemical bonding
Unique insight in chemical bonds with many chemical analysis tools. Balanced charge decomposition schemes and density analysis tools.
Hassle-free installation, free trial
With parallel binaries for all popular platforms, the entire ADF suite installs out of the box. Try out our powerful modeling tools for free: http://www.scm.com/trial
Discuss your science with experts
With decades of experience, our expert support team (PhDs in chemistry & physics) will help you with any queries that may arise.
This document summarizes a presentation on tools and protocols for drug design using density functional theory (DFT). It introduces computer-aided drug design and molecular modeling techniques like quantum mechanics, semi-empirical methods, and DFT. Applications of these methods include structure optimization, calculating properties like HOMO-LUMO energies, and molecular docking for drug discovery. Several examples are provided of using DFT calculations to model drug-receptor binding and evaluate compounds for treating diseases.
Molecular docking involves sampling ligand conformations and orientations within a protein binding site, and scoring the protein-ligand complexes to identify favorable binding geometries. Key aspects of docking include accounting for ligand and protein flexibility using methods like Monte Carlo, molecular dynamics, or genetic algorithms. Scoring functions evaluate shape complementarity and chemical interactions like hydrogen bonding, hydrophobic effects, and empirical or knowledge-based terms fit to binding affinity data. Consensus scoring integrates multiple scoring schemes to improve virtual screening accuracy over single functions. While docking false positive rates remain high, consensus approaches combined with experimental validation can suggest novel protein-ligand interactions.
Theoretical Investigation on CuxV2-xO5 where x=0, 0.5 Using Density Functiona...IRJET Journal
This document presents a theoretical investigation of V2O5 and Cu0.5V1.5O5 using density functional theory. The calculations were performed using the Vienna Ab-initio Simulation Package. For V2O5, the lattice parameters were underestimated by 1-1.5% compared to experimental values. The bulk modulus was overestimated. V2O5 had a direct bandgap of 2.28 eV and a cohesive energy of 8.67 eV. For Cu0.5V1.5O5, there was no bandgap between the valence and conduction bands, making it conductive. Its cohesive energy was lower than V2O5, indicating V2O5 is more stable.
1) The document discusses strategies for designing targeted arrays to screen nuclear receptor ligands, including defining nuclear receptor chemical space and using x-ray crystallography data to assess potential ligands.
2) Virtual arrays are generated and analyzed using shape and pharmacophore matching tools like ROCS to prioritize arrays based on similarity to known receptor ligands.
3) Limitations of the current approach include using a single protein structure, not accounting for flexibility, and limitations of computational docking. Advancing the methods could improve array design for orphan receptors.
This document provides an overview of protein structure analysis tools and techniques:
1) It describes exploring the Protein Data Bank (PDB) to view and analyze X-ray crystallography and NMR protein structures, comparing similar structures, and using tools like FoldX for in silico mutagenesis and homology modeling.
2) Key concepts covered include PDB file formats, atomic coordinates, B-factors, resolution, RMSD, and the principles of X-ray crystallography, NMR structure determination, and homology modeling.
3) Visualization software like YASARA, SwissPDBViewer and PyMOL are introduced for viewing protein structures from the PDB.
Molecular docking is a computer modeling technique used to predict the preferred orientation of one molecule to another when bound to form a stable complex. It involves fitting potential drug molecules into the active site of a protein receptor in order to identify which molecules may bind strongly. There are different approaches to molecular docking including rigid docking which treats molecules as rigid bodies, and flexible docking which accounts for conformational changes in ligands. The goal of docking is to find binding orientations that minimize the total energy of the system and maximize intermolecular interactions in order to predict effective drug candidates.
Design of compound libraries for fragment screening (Feb 2012 version)Peter Kenny
Slimmed down fragment screening library talk presented at University of Adelaide (Dec 2011) and Pharmaxis (Feb 2012). Includes dingo and Maria Sharapova (losing finalist at 2012 Australian Open). The photo for the title slide is of a range finder from the Admiral Graf Spee and was taken in Montevideo.
ARChem Route Designer is a new retrosynthetic analysis package (1) that generates complete synthetic routes for target molecules from readily available starting materials. Rule generation from reaction databases is fully automated to insure that the system can keep abreast with the latest reaction literature and available starting materials. After these rules are used to carry out an exhaustive retrosynthetic analysis of the target molecules, special heuristics are used to mitigate a combinatorial explosion.
Proposed routes are then prioritized by a merit ranking algorithm to present to the viewer the most diverse solution profile. Users then have the option to view the details of the overall reaction tree and to scroll through the reaction details. The program runs on a server with a web-based user interface. An overview of some of the challenges, solutions, and examples that illustrate ARChem's utility will be discussed.
1. The document describes AUTODOCK, an automated docking software used to predict optimal protein-ligand interactions. It summarizes key search algorithms like simulated annealing and genetic algorithms.
2. As an example application, the document uses AUTODOCK to dock the ligand AHA006 to the HIV-1 protease protein. It describes the preparation steps including assigning charges and defining rotatable bonds.
3. The docking is run using simulated annealing, generating 100 different clusters ranging widely in energy. The lowest energy conformation is not close to the original position, but a higher energy conformation is closest to the original.
This document discusses molecular docking techniques. It describes two main tasks of docking tools: sampling conformational ligand space and scoring protein-ligand complexes. It outlines early rigid-body docking approaches and introduces flexibility through methods like Monte Carlo, molecular dynamics, and genetic algorithms. It also discusses fragment-based docking and techniques for placing fragments and rigid molecules like geometric hashing, pose clustering, and clique detection. The document compares scoring functions including shape complementarity, empirical, force field, knowledge-based, and consensus scoring. It notes that while docking reliability is limited, it can provide new suggestions and that consensus scoring may reduce false positives.
Molecular design: One step back and two paths forwardPeter Kenny
I presented this at the RACI Biomolecular on the Beach conference in December 2011. A correlation inflation teaser followed by alkane/water logP and SAR/SPR based on relationships between structures. The photograph in the title slide was taken in Asunción.
Using Machine Learning to Measure the Cross Section of Top Quark Pairs in the...m.a.kirn
Malina Kirn's 2011-09-06 University of Maryland Scientific Computation dissertation defense. Using neural networks and grid computing to measure top quark pair production cross section at the Compact Muon Solenoid detector at the Large Hadron Collider.
Similar to Tim Cheeseright, Cresset, 'Introducing Fragment Growing in FieldStere and other cool stuff' (20)
Selectivity mining – multiple activities in Activity MinerCresset
This document discusses using 3D molecular similarity and activity cliff analysis to gain insights into structure-activity relationships (SAR). It describes how 3D activity cliffs can be visualized and analyzed in Activity Miner to identify regions causing changes in potency or selectivity. Electrostatic potential differences between molecule pairs can help explain cliffs and drive medicinal chemistry design decisions. Both 2D and 3D similarity are useful for SAR analysis, with 3D providing insights into conformational changes and electrostatic effects influencing activity.
Discovery and optimization of novel small molecule HIV-1 entry inhibitors usi...Cresset
This document describes the discovery and optimization of novel small molecule HIV-1 entry inhibitors. Using field-based virtual screening and bioisosteric replacement, the authors identified several new inhibitor scaffolds with improved potency and drug-like properties compared to existing inhibitors. Through iterative rounds of in silico screening, medicinal chemistry optimization, and testing, they developed inhibitors with IC50 values as low as 1 nM against HIV-1 entry. The best inhibitors represented new chemotypes including pyrrolo-pyrazole and dipyrrolidine scaffolds.
Can field based chemistry help us to predict protein-DNA binding sites?Cresset
This document discusses using computational methods to predict protein-DNA binding sites by analyzing DNA flexibility and electrostatics. It describes direct and indirect readout of DNA sequences by proteins, and how sequence-dependent flexibility can be recognized through an electric field-based approach. The document proposes using this approach to design small molecule drugs that bind DNA by targeting flexible regions. It outlines analyzing DNA sequences with software, aligning drug candidates to a target peptide, and growing fragments to expand candidates. The goal is to design larger molecules accounting for DNA bending to sufficiently hit multiple binding sites.
Organic converstions: an aid in perspectiveCresset
Lewis Whitehead discusses a meeting he had with Rae Lawrence and David Bardsley of Novartis about reagent selection and procurement protocols. Whitehead had expressed frustration with long wait times and unavailable reagents. However, Lawrence and Bardsley listened to Whitehead's concerns and developed a new module to help address the issues. The module creates a tiered system for reagent selection and storage to reduce wait times and increase feedback. Whitehead is pleased there was constructive follow up after expressing his views.
Identification of novel potential anti cancer agents using network pharmacolo...Cresset
This document discusses using network pharmacology and computational modeling to identify novel potential anti-cancer agents. It describes how E-Therapeutics constructs disease networks and then uses its proprietary chemoinformatics tools to identify compounds that could impact those networks. One lead anti-cancer candidate, Dexanabinol, is highlighted which has passed Phase 1 trials. Experimental validation of compounds predicted to impact glioma networks identified over 50% as weakly active potential leads and 14 as highly active candidates, demonstrating the potential of this network pharmacology approach.
Knowledge-based chemical fragment analysis in protein binding sitesCresset
This document discusses an approach to selecting likely binding molecules for a protein target based on analyzing known protein-ligand interactions from the Protein Data Bank (PDB). It describes extracting "fragments" from ligands that form hydrogen bonds to common amino acids like Aspartic acid, Glutamic acid, Arginine, and Histidine. These fragments are analyzed to determine common structural motifs that preferentially interact with certain amino acid side chains. This knowledge could help medicinal chemists design new compounds likely to bind a given protein binding site.
Using waterswap to predict and understand binding affinitiesCresset
The document describes the waterswap method developed by Christopher Woods for calculating absolute protein-ligand binding free energies using molecular dynamics simulations. Waterswap uses a thermodynamic integration approach to swap a ligand and water cluster between a protein box and a water box. This allows a direct calculation of the binding free energy. The method was tested on thrombin-ligand complexes and showed reasonable agreement with experimental binding affinities. Key advantages of waterswap include its ability to decompose binding free energies and provide insights into residue-level contributions and the effects of ligand hydrophobicity.
Smart drug re-profiling using computational chemistry tools novel biology and...Cresset
Re-Pharm is a drug development company that focuses on repositioning existing compounds for new indications using a combination of biological understanding and computational tools. The company has a proven track record of identifying new therapeutic uses for compounds and deep expertise in areas like pre-clinical development and reprofiling. Re-Pharm has discovered that RP0217, an old drug from the 1960s, has unexpected anti-inflammatory activity for an important clinical target through its virtual screening platform. Pre-clinical studies indicate RP0217 synergizes with steroids and has potential as a "steroid-sparing" therapy for ocular inflammation. Re-Pharm is seeking a licensing partner for RP0217's development in topical indications like eye
This document discusses the past, present, and future of Torch, a medicinal chemistry tool created by Cresset. It began in 2005 as FieldAlign, designed to be easy to use by medicinal chemists for molecular modeling. Over time, it added more customization options and features to better serve both medicinal and computational chemists. It was later split into Torch, focused on 3D design and structure-activity analysis, and Forge for more complex workflows. Today, Torch provides wizards, molecule alignment, design tools, activity analysis, and interactive graphs. Its future may include improvements to 2D handling, protein support, and multi-parameter optimization to continue delivering meaningful results through simple experiments.
Discovery and optimization of novel small molecule HIV-1 entry inhibitors usi...Cresset
This document describes efforts to discover novel small molecule HIV-1 entry inhibitors. Researchers used field-based virtual screening and bioisosteric replacement to identify potential inhibitors. They tested 50 compounds and found 4 with sub-100nM potency against HIV-1, representing new "core" chemotypes. The most potent compound had an IC50 of 0.6nM. Through de novo design and structure-property analysis, they further improved potency and drug-likeness, identifying additional leads with low nanomolar potency and improved predicted drug-like properties. This work demonstrates an effective structure-based approach to discover new HIV-1 entry inhibitors.
Intelligent library design for protein families and beyond spCresset
1) Cresset is a computational chemistry software company founded in 2002 that provides tools and services for drug discovery. 2) Their unique technology uses a 3D representation of molecular electrostatic, hydrophobic and shape properties to map interactions important for protein-ligand binding. 3) Cresset has extensive experience designing focused libraries for various protein families including G protein-coupled receptors through field-based, structure-based, and chemogenomic approaches.
Finding and using activity cliffs in 3D: Gaining more SAR information during ...Cresset
This document discusses using 3D molecular comparisons to identify activity cliffs during lead optimization. It introduces the concepts of activity cliffs, where small molecular changes lead to large changes in activity, and 3D molecular disparity, which identifies structural differences beyond 2D metrics. The document outlines Cresset Technology's approach to generating 3D conformers, aligning molecules, calculating similarity matrices, and visualizing disparity pairs. It presents case studies on acetylcholinesterase and PERK kinase inhibitors where 3D analysis revealed substitutions and interactions correlating with improved activity. The document concludes 3D cliff analysis is a powerful SAR tool that provides insights into both what structural changes improve activity and why those changes may be effective.
Tim Cheeseright, Assessing the Similarities of Compound collections using mol...Cresset
1) The document discusses using molecular fields to select a diverse set of compounds from a large commercial library to create a screening library of 10,000 compounds.
2) A pilot study found some added value to 3D molecular field similarity comparisons over 2D, but calculating a full similarity matrix was impractical.
3) The authors propose an approach using a reduced set of "probe" compounds to identify molecules with different fields, potentially eliminating the need for a full matrix calculation. However, more work is needed to optimize the method and evaluate if it can successfully generate a diverse library.
David Evans, Eli-Lilly, 'Field-Aligned Matched Pairs'Cresset
The document discusses using multiple cheminformatics tools within a KNIME workflow to analyze structure-activity relationships and identify potential bioisosteric replacements. Specifically, it analyzes matched molecular pairs from the ChEMBL database to find fragment transformations that maintain kinase inhibition. It also examines transformations that increase solubility. In both cases, the goal is to compare structural similarity metrics based on molecular fields versus 2D fingerprints to identify non-obvious bioisosteric relationships. There is further discussion of improving the workflow to better handle conformations and whole molecules for more rigorous validation of putative isosteres.
Chris Ullman, Isogenica, 'The use of CIS display for drug discovery'Cresset
The document discusses the use of CIS display for drug discovery. CIS display is an acellular, in vitro display technology that uses biochemical processes of E. coli to generate and screen large protein libraries (over 1013) without cloning. It provides advantages over other display methods like phage display by allowing larger libraries to be rapidly generated and screened. Next generation sequencing is used to monitor CIS display selections, allowing millions of sequences to be analyzed. Top hits from CIS display can then be synthesized and further matured using additional library selections and techniques to optimize binding properties.
Simon McIntosh-Smith, University of Bristol, 'Accelerating molecular docking ...Cresset
This document discusses accelerating molecular docking simulations using graphics processing units (GPUs). It finds that GPUs can provide a 6.9x speedup over CPUs for docking simulations. This reduces the time needed to screen a library of 1 million drug candidates from over 2 days using CPUs to less than 2 days using GPUs. GPUs also provide an energy reduction of 68% for the same work, reducing the energy needed from 0.034 kWh per simulation to 0.011 kWh. This could save over £3,000 in energy costs for a single experiment screening 1 million molecules.
Raphael Geney, Galapagos, H-bond strength predictions: Could we do better?Cresset
1) The document summarizes an evaluation of methods for predicting hydrogen bond strength, including Peter Kenny's accurate but slow quantum mechanics (QM) approach and the faster but less accurate Cresset molecular modeling software.
2) Applying Kenny's QM approach to 9 kinase ligand cores, excellent correlations with potency were found except for two outliers, while Cresset captured trends but not substituent effects.
3) A combination of Kenny's QM predictions with Cresset screening was proposed to effectively optimize ligand hydrogen bonding for potency, with each method's strengths mitigating the other's weaknesses.
Session 1 - Intro to Robotic Process Automation.pdfUiPathCommunity
👉 Check out our full 'Africa Series - Automation Student Developers (EN)' page to register for the full program:
https://bit.ly/Automation_Student_Kickstart
In this session, we shall introduce you to the world of automation, the UiPath Platform, and guide you on how to install and setup UiPath Studio on your Windows PC.
📕 Detailed agenda:
What is RPA? Benefits of RPA?
RPA Applications
The UiPath End-to-End Automation Platform
UiPath Studio CE Installation and Setup
💻 Extra training through UiPath Academy:
Introduction to Automation
UiPath Business Automation Platform
Explore automation development with UiPath Studio
👉 Register here for our upcoming Session 2 on June 20: Introduction to UiPath Studio Fundamentals: https://community.uipath.com/events/details/uipath-lagos-presents-session-2-introduction-to-uipath-studio-fundamentals/
Must Know Postgres Extension for DBA and Developer during MigrationMydbops
Mydbops Opensource Database Meetup 16
Topic: Must-Know PostgreSQL Extensions for Developers and DBAs During Migration
Speaker: Deepak Mahto, Founder of DataCloudGaze Consulting
Date & Time: 8th June | 10 AM - 1 PM IST
Venue: Bangalore International Centre, Bangalore
Abstract: Discover how PostgreSQL extensions can be your secret weapon! This talk explores how key extensions enhance database capabilities and streamline the migration process for users moving from other relational databases like Oracle.
Key Takeaways:
* Learn about crucial extensions like oracle_fdw, pgtt, and pg_audit that ease migration complexities.
* Gain valuable strategies for implementing these extensions in PostgreSQL to achieve license freedom.
* Discover how these key extensions can empower both developers and DBAs during the migration process.
* Don't miss this chance to gain practical knowledge from an industry expert and stay updated on the latest open-source database trends.
Mydbops Managed Services specializes in taking the pain out of database management while optimizing performance. Since 2015, we have been providing top-notch support and assistance for the top three open-source databases: MySQL, MongoDB, and PostgreSQL.
Our team offers a wide range of services, including assistance, support, consulting, 24/7 operations, and expertise in all relevant technologies. We help organizations improve their database's performance, scalability, efficiency, and availability.
Contact us: info@mydbops.com
Visit: https://www.mydbops.com/
Follow us on LinkedIn: https://in.linkedin.com/company/mydbops
For more details and updates, please follow up the below links.
Meetup Page : https://www.meetup.com/mydbops-databa...
Twitter: https://twitter.com/mydbopsofficial
Blogs: https://www.mydbops.com/blog/
Facebook(Meta): https://www.facebook.com/mydbops/
"Scaling RAG Applications to serve millions of users", Kevin GoedeckeFwdays
How we managed to grow and scale a RAG application from zero to thousands of users in 7 months. Lessons from technical challenges around managing high load for LLMs, RAGs and Vector databases.
"Frontline Battles with DDoS: Best practices and Lessons Learned", Igor IvaniukFwdays
At this talk we will discuss DDoS protection tools and best practices, discuss network architectures and what AWS has to offer. Also, we will look into one of the largest DDoS attacks on Ukrainian infrastructure that happened in February 2022. We'll see, what techniques helped to keep the web resources available for Ukrainians and how AWS improved DDoS protection for all customers based on Ukraine experience
Freshworks Rethinks NoSQL for Rapid Scaling & Cost-EfficiencyScyllaDB
Freshworks creates AI-boosted business software that helps employees work more efficiently and effectively. Managing data across multiple RDBMS and NoSQL databases was already a challenge at their current scale. To prepare for 10X growth, they knew it was time to rethink their database strategy. Learn how they architected a solution that would simplify scaling while keeping costs under control.
Northern Engraving | Modern Metal Trim, Nameplates and Appliance PanelsNorthern Engraving
What began over 115 years ago as a supplier of precision gauges to the automotive industry has evolved into being an industry leader in the manufacture of product branding, automotive cockpit trim and decorative appliance trim. Value-added services include in-house Design, Engineering, Program Management, Test Lab and Tool Shops.
[OReilly Superstream] Occupy the Space: A grassroots guide to engineering (an...Jason Yip
The typical problem in product engineering is not bad strategy, so much as “no strategy”. This leads to confusion, lack of motivation, and incoherent action. The next time you look for a strategy and find an empty space, instead of waiting for it to be filled, I will show you how to fill it in yourself. If you’re wrong, it forces a correction. If you’re right, it helps create focus. I’ll share how I’ve approached this in the past, both what works and lessons for what didn’t work so well.
In our second session, we shall learn all about the main features and fundamentals of UiPath Studio that enable us to use the building blocks for any automation project.
📕 Detailed agenda:
Variables and Datatypes
Workflow Layouts
Arguments
Control Flows and Loops
Conditional Statements
💻 Extra training through UiPath Academy:
Variables, Constants, and Arguments in Studio
Control Flow in Studio
The Department of Veteran Affairs (VA) invited Taylor Paschal, Knowledge & Information Management Consultant at Enterprise Knowledge, to speak at a Knowledge Management Lunch and Learn hosted on June 12, 2024. All Office of Administration staff were invited to attend and received professional development credit for participating in the voluntary event.
The objectives of the Lunch and Learn presentation were to:
- Review what KM ‘is’ and ‘isn’t’
- Understand the value of KM and the benefits of engaging
- Define and reflect on your “what’s in it for me?”
- Share actionable ways you can participate in Knowledge - - Capture & Transfer
From Natural Language to Structured Solr Queries using LLMsSease
This talk draws on experimentation to enable AI applications with Solr. One important use case is to use AI for better accessibility and discoverability of the data: while User eXperience techniques, lexical search improvements, and data harmonization can take organizations to a good level of accessibility, a structural (or “cognitive” gap) remains between the data user needs and the data producer constraints.
That is where AI – and most importantly, Natural Language Processing and Large Language Model techniques – could make a difference. This natural language, conversational engine could facilitate access and usage of the data leveraging the semantics of any data source.
The objective of the presentation is to propose a technical approach and a way forward to achieve this goal.
The key concept is to enable users to express their search queries in natural language, which the LLM then enriches, interprets, and translates into structured queries based on the Solr index’s metadata.
This approach leverages the LLM’s ability to understand the nuances of natural language and the structure of documents within Apache Solr.
The LLM acts as an intermediary agent, offering a transparent experience to users automatically and potentially uncovering relevant documents that conventional search methods might overlook. The presentation will include the results of this experimental work, lessons learned, best practices, and the scope of future work that should improve the approach and make it production-ready.
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdfChart Kalyan
A Mix Chart displays historical data of numbers in a graphical or tabular form. The Kalyan Rajdhani Mix Chart specifically shows the results of a sequence of numbers over different periods.
What is an RPA CoE? Session 1 – CoE VisionDianaGray10
In the first session, we will review the organization's vision and how this has an impact on the COE Structure.
Topics covered:
• The role of a steering committee
• How do the organization’s priorities determine CoE Structure?
Speaker:
Chris Bolin, Senior Intelligent Automation Architect Anika Systems
LF Energy Webinar: Carbon Data Specifications: Mechanisms to Improve Data Acc...DanBrown980551
This LF Energy webinar took place June 20, 2024. It featured:
-Alex Thornton, LF Energy
-Hallie Cramer, Google
-Daniel Roesler, UtilityAPI
-Henry Richardson, WattTime
In response to the urgency and scale required to effectively address climate change, open source solutions offer significant potential for driving innovation and progress. Currently, there is a growing demand for standardization and interoperability in energy data and modeling. Open source standards and specifications within the energy sector can also alleviate challenges associated with data fragmentation, transparency, and accessibility. At the same time, it is crucial to consider privacy and security concerns throughout the development of open source platforms.
This webinar will delve into the motivations behind establishing LF Energy’s Carbon Data Specification Consortium. It will provide an overview of the draft specifications and the ongoing progress made by the respective working groups.
Three primary specifications will be discussed:
-Discovery and client registration, emphasizing transparent processes and secure and private access
-Customer data, centering around customer tariffs, bills, energy usage, and full consumption disclosure
-Power systems data, focusing on grid data, inclusive of transmission and distribution networks, generation, intergrid power flows, and market settlement data
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/temporal-event-neural-networks-a-more-efficient-alternative-to-the-transformer-a-presentation-from-brainchip/
Chris Jones, Director of Product Management at BrainChip , presents the “Temporal Event Neural Networks: A More Efficient Alternative to the Transformer” tutorial at the May 2024 Embedded Vision Summit.
The expansion of AI services necessitates enhanced computational capabilities on edge devices. Temporal Event Neural Networks (TENNs), developed by BrainChip, represent a novel and highly efficient state-space network. TENNs demonstrate exceptional proficiency in handling multi-dimensional streaming data, facilitating advancements in object detection, action recognition, speech enhancement and language model/sequence generation. Through the utilization of polynomial-based continuous convolutions, TENNs streamline models, expedite training processes and significantly diminish memory requirements, achieving notable reductions of up to 50x in parameters and 5,000x in energy consumption compared to prevailing methodologies like transformers.
Integration with BrainChip’s Akida neuromorphic hardware IP further enhances TENNs’ capabilities, enabling the realization of highly capable, portable and passively cooled edge devices. This presentation delves into the technical innovations underlying TENNs, presents real-world benchmarks, and elucidates how this cutting-edge approach is positioned to revolutionize edge AI across diverse applications.
How information systems are built or acquired puts information, which is what they should be about, in a secondary place. Our language adapted accordingly, and we no longer talk about information systems but applications. Applications evolved in a way to break data into diverse fragments, tightly coupled with applications and expensive to integrate. The result is technical debt, which is re-paid by taking even bigger "loans", resulting in an ever-increasing technical debt. Software engineering and procurement practices work in sync with market forces to maintain this trend. This talk demonstrates how natural this situation is. The question is: can something be done to reverse the trend?
"What does it really mean for your system to be available, or how to define w...Fwdays
We will talk about system monitoring from a few different angles. We will start by covering the basics, then discuss SLOs, how to define them, and why understanding the business well is crucial for success in this exercise.
3. Field Points Condensed representation of electrostatic, hydrophobic and shape properties (“protein’s view”) Molecular Field Extrema (“Field Points”) = Positive = Negative = Shape = Hydrophobic 3D Molecular Electrostatic Potential (MEP) Field Points 2D
4. +ve ionic H-bond acceptor Aromatic p cloud ‘H acceptor’ -ve ionic H-bond donor Hydrophobes Aromatic in-plane ‘H donor’ “Stickiest” surfaces (high vdW) Field points give you new insights into your molecule Explanatory Power of Fields = Positive = Negative = Shape = Hydrophobic Field point size show importance
5. XEDs make Fields Work Field patterns from Cresset’s proprietary XED force field reproduce experimental results Not using XEDs Interaction of Acetone and Any-OH from small molecule crystal structures Experimental Using XEDs XED adds p-orbitals to get better representation of atoms
6. Information Provided by Fields Structure Fields Experimental Field points give you new insights into your molecule
7. Comparing Molecules Clique based initial alignment Uses the distance matrix of Field Points Detailed score Single point Uses Field-Point on Field Scoring Optional simplex based optimisation of alignment Rigid body - no bonds twisted Uses detailed score as optimisation parameter
9. N-methyl acetamide Imidazole Field Scoring To score a particular alignment, we use the field points of molecule 1 to sample the actual field of molecule 2 Cheeseright et al, J. Chem Inf. Mod., 2006, 665
10. Field Scoring N-methyl acetamide Imidazole To score a particular alignment, we use the field points of molecule 1 to sample the actual field of molecule 2 and vice-versa Cheeseright et al, J. Chem Inf. Mod., 2006, 665
11. Bioisosteres – PDE III Biologically relevant method for comparing molecules Bioisosteres Bioisosteric groups
14. FieldStere’s Approach Select a region to replace and remove these atoms Search database for matching fragments (geometric search only) (search runs on fragment conformations)
15. Select a region to replace and remove these atoms Search database for matching fragments (geometric search only) (search runs on fragment conformations) Form Products (minimise and add Field Points) FieldStere’s Approach
16. Select a region to replace and remove these atoms Search database for matching fragments (geometric search only) (search runs on fragment conformations) Form Products (minimise and add Field Points) Score FieldStere’s Approach 0.88
17. Produces more diverse, non-obvious bioisosteres Avoids fragment scoring limitations Allows for electronic influence of replacing a moiety on the rest of the molecule and vice versa Allows for neighbouring group effects Whole-Molecule Scoring Advantages
18. Where do you get fragments from? Fragment existing molecules Fragment at Heteroatoms C=O and C=S Bonds to rings Not NO2, COOH, etc Generate all sets of connected pieces Subject to MW, NH, and rotatable bond limits
20. Database of Replacement Moieties Series of commercial compounds fragmented and recombined Resultant moieties placed into separate databases based on frequency V. Common Common Less Common Rare Very Rare Frequency roughly correlates with synthesizability Add your own database containing proprietary moieties
21. Example - COX-2 Search for Bioisosteres for cyclic lactone of Rofecoxib Search Common Dbs Actives: 9 of the first 10 clusters 21 of the first 30 clusters 87,225 frags
25. Cross Scoring Separate target and reference for scoring Bring in interactions from a parallel series Multiple series using different parts of a binding site Optimize a low activity series using a high activity “template” Grow molecules Mimic interactions of alternative series Fragment growing
26. Select a region to replace and remove these atoms Search database for matching fragments (geometric search only) (search runs on fragment conformations) Form Products (minimise and add Field Points) Score FieldStere’s Approach 0.68 0.78
27. Cross scoring example - BACE Multiple known actives for BACE Binding site has flexibility Ligand based methods less sensitive to protein movements Ligands interact with the catalytic Aspartates differently
28. PDB 2IQG - Hydroxyethylamine based inhibitor Complex chemistry Chiral PDB 3L59 - Small guanidine based inhibitor Excellent interactions with Asp’s BACE Experiment
31. Can we use 3L59 to improve 2IQG ? Use 2IQG as the “Target” Score replacements against 3L59 - the “Reference” Region to be replaced Only accept replacements with Carbon here
34. Cross Scoring 2 - Fragment Growing FieldStere version 3.0.0 fragment growth example: P38 kinase bound to a fragment fluorescent probe PDB:3K3I specific to the ‘DFG-out’ conformation ‘DFG-in’ example with specificity towards the ‘Gly’ flipped hinge PDB:3ROC and/or 3HUB Selectivity potentially to be gained by combining ‘Gly flip’ and ‘DFG-out’ in one molecule Can we use the new version of FieldStere to grow the DFG-out fragment into the DFG-in hinge?* *we realize we don’t want to develop a fluorescent probe….but… as an illustration of utility it is OK. We also have a number of more reasonable edits of this fragment….
38. Fieldstere input Target was PDB: 3K3I Reference was PDB: 3ROC 20/80 scoring T to R All databases Accurate settings Size limit on fragment removed Fragments limited to 3 rotatable bonds Fragment must contain a ring
43. Outcome Fragment growth both possible and a facile process using FieldStere Interesting and sensible candidate molecules generated Many more options available for increasing diversity of the output
Notes:FieldStere uses a product centric approach, that is all potential bioisosteres are scored only as complete “product” molecules and not as isolated fragments. To create the products with suitable properties a multi-stage process is used.Once you have chosen the portion of the target molecule that you wish to replace, a copy of the target is created with these atoms removed. The geometric distance and angles between any broken bonds are recorded. FieldStere then searches a database for any fragment that has the right number of connection points that geometrically match the broken bonds in the target. Matches are considered on the basis of both angle and distance.
Notes:FieldStere uses a product centric approach, that is all potential bioisosteres are scored only as complete “product” molecules and not as isolated fragments. To create the products with suitable properties a multi-stage process is used.Once you have chosen the portion of the target molecule that you wish to replace, a copy of the target is created with these atoms removed. The geometric distance and angles between any broken bonds are recorded. FieldStere then searches a database for any fragment that has the right number of connection points that geometrically match the broken bonds in the target. Matches are considered on the basis of both angle and distance.
Notes:Fragments that have the correct angles and distances between connection points are merged into the target molecule to form the “product”. Only now, as a whole product molecule is this bioisosteric replacement scored against the starting structure for electrostatic and shape similarity.Using this product centric view generates a wider range of biologically relevant bioisosteres.
Notes:Fragments that have the correct angles and distances between connection points are merged into the target molecule to form the “product”. Only now, as a whole product molecule is this bioisosteric replacement scored against the starting structure for electrostatic and shape similarity.Using this product centric view generates a wider range of biologically relevant bioisosteres.
Notes:FieldStere’s product centric approach gives excellent results, producing a more diverse set of bioisosteres.The graphic shows an overlay of the thiazolotriazine (bottom right, grey carbons) with rofecoxib (green carbons). The Field pattern surrounding the retained portions of the molecule are highly conserved in these molecules (both are active), however, subtle changes can still be seen particularly near the sulfone group.
Notes:FieldStere’s database generator creates a database of potential bioisosteres by fragmenting whole molecules and then recombining the resulting small fragments into larger fragements. Whole molecules are fragmented at bonds to rings and bonds to heteroatoms. Recombination of small fragments is limited to producing moieties with MW < 250 , NRB < 5, 5 or less small fragments used.Once formed, the larger moieties are conformationally searched and the resulting conformations are stored in the database.
Notes:Fragments that have the correct angles and distances between connection points are merged into the target molecule to form the “product”. Only now, as a whole product molecule is this bioisosteric replacement scored against the starting structure for electrostatic and shape similarity.Using this product centric view generates a wider range of biologically relevant bioisosteres.