Presentation from Moleculomics at the Centre for Defence Enterprise Marketplace held on 5 February 2015. For more info see: https://www.gov.uk/government/news/mod-brings-businesses-together-for-innovative-defence-ideas
Joshua Burge graduated from the University of North Texas with a BS in Biochemistry. He is currently working as a Junior Scientist at Alcon, where he measures oxygen permeability of contact lenses and supports product testing and investigations. Burge has experience in experimental design, project management, and quantitative analysis techniques from school and previous roles. He is proficient in analytical techniques, documentation practices, and statistical software.
MOLECULAR DOCKING IN DRUG DESIGN AND DEVELOPMENT BY PRANAVI linkedin.pptxPranavi Uppuluri
This document discusses molecular docking, which is a technique used in bioinformatics and drug design to predict how biological molecules, like proteins and ligands, bind to each other. It begins by defining bioinformatics and explaining why molecular docking is important for applications like drug design and signal transduction. The document then discusses key concepts in molecular docking like rigid and flexible docking, different docking software tools, and challenges associated with molecular docking.
The document discusses future trends in toxicity testing that could improve how scientists evaluate health risks from chemicals. Advances in fields like molecular biology and biotechnology may allow toxicity testing to be quicker, less expensive, and more relevant by focusing on toxicity pathways in cells rather than whole animals. New techniques like high-throughput screening could test thousands of chemicals using automated methods, reducing the need for animal testing. The U.S. EPA's ToxCast program applies computational approaches and in vitro testing to further these goals.
Molecular docking and its importance in drug designdevilpicassa01
The document discusses molecular docking and its importance in drug design. Molecular docking is a method used to predict how two molecules, such as a drug and a protein, fit together and interact with one another. It can be used to find potential inhibitors for target proteins and aid in rational drug design. Using molecular docking can help reduce the time and costs associated with new drug discovery by cutting down the research timeline through computer modeling and simulation. It is a key technique in modern computational biology and drug development.
Molecular docking is a method for predicting how two molecules, such as a ligand and its protein target, will interact and fit together in three dimensions. Docking has become an important tool in drug discovery for identifying potential binding conformations between drug candidates and protein targets. The key steps in a typical docking workflow involve selecting the receptor and ligand molecules, then using software to computationally predict the orientation of binding and evaluate the fit through scoring functions. Popular molecular docking software packages include AutoDock, GOLD, and Glide. Applications of docking include virtual screening in drug discovery and lead optimization.
Prota cs and targeted protein degradationDoriaFang
PROTACs (proteolysis targeting chimera) induced targeted protein degradation has emerged as a novel therapeutic strategy in drug development and attracted the favor of academic institutions, large pharmaceutical enterprises, and biotechnology companies. PROTACs opened a new chapter for novel drug development.
Joshua Burge graduated from the University of North Texas with a BS in Biochemistry. He is currently working as a Junior Scientist at Alcon, where he measures oxygen permeability of contact lenses and supports product testing and investigations. Burge has experience in experimental design, project management, and quantitative analysis techniques from school and previous roles. He is proficient in analytical techniques, documentation practices, and statistical software.
MOLECULAR DOCKING IN DRUG DESIGN AND DEVELOPMENT BY PRANAVI linkedin.pptxPranavi Uppuluri
This document discusses molecular docking, which is a technique used in bioinformatics and drug design to predict how biological molecules, like proteins and ligands, bind to each other. It begins by defining bioinformatics and explaining why molecular docking is important for applications like drug design and signal transduction. The document then discusses key concepts in molecular docking like rigid and flexible docking, different docking software tools, and challenges associated with molecular docking.
The document discusses future trends in toxicity testing that could improve how scientists evaluate health risks from chemicals. Advances in fields like molecular biology and biotechnology may allow toxicity testing to be quicker, less expensive, and more relevant by focusing on toxicity pathways in cells rather than whole animals. New techniques like high-throughput screening could test thousands of chemicals using automated methods, reducing the need for animal testing. The U.S. EPA's ToxCast program applies computational approaches and in vitro testing to further these goals.
Molecular docking and its importance in drug designdevilpicassa01
The document discusses molecular docking and its importance in drug design. Molecular docking is a method used to predict how two molecules, such as a drug and a protein, fit together and interact with one another. It can be used to find potential inhibitors for target proteins and aid in rational drug design. Using molecular docking can help reduce the time and costs associated with new drug discovery by cutting down the research timeline through computer modeling and simulation. It is a key technique in modern computational biology and drug development.
Molecular docking is a method for predicting how two molecules, such as a ligand and its protein target, will interact and fit together in three dimensions. Docking has become an important tool in drug discovery for identifying potential binding conformations between drug candidates and protein targets. The key steps in a typical docking workflow involve selecting the receptor and ligand molecules, then using software to computationally predict the orientation of binding and evaluate the fit through scoring functions. Popular molecular docking software packages include AutoDock, GOLD, and Glide. Applications of docking include virtual screening in drug discovery and lead optimization.
Prota cs and targeted protein degradationDoriaFang
PROTACs (proteolysis targeting chimera) induced targeted protein degradation has emerged as a novel therapeutic strategy in drug development and attracted the favor of academic institutions, large pharmaceutical enterprises, and biotechnology companies. PROTACs opened a new chapter for novel drug development.
Bioengineered 3D Co culture Lung In Vitro Models: Platforms to Integrate Cell...Ken Rogan
Cian O'Leary and his lab are developing 3D bioengineered in vitro models of the lung and other tissues using scaffolds.
[1] They have created bilayered collagen-hyaluronate scaffolds that support a mucociliary epithelial phenotype in lung cell culture models.
[2] The lab is also working on 3D hydrogel models of pancreatic cancer to study cell-matrix interactions and cancer progression.
[3] Future work includes developing dynamically stiffening hydrogel models and applying these platforms to study lung cancer and the pre-metastatic niche.
This document proposes predictive toxicology and toxicogenomics services from Accommodator Consultancy Services. It discusses the need for predictive toxicology due to bans on animal testing and advances in computational modeling. The company has infrastructure for molecular modeling and data analysis. Services proposed include data processing, toxicology data integration, text mining, expert systems, and assisting with carcinogenicity tests. Benefits include reducing animal testing and speeding safety assessments. Challenges and trends in the field are also reviewed.
Stable Drug Designing by Minimizing Drug Protein Interaction Energy Using PSO csandit
1. The document proposes using a particle swarm optimization (PSO) algorithm to design stable drug molecules that minimize interaction energy with target proteins.
2. In the algorithm, drugs are represented as variable-length trees containing functional groups, and PSO is used to optimize van der Waals and electrostatic interaction energies.
3. Results show that PSO performs better than previous fixed-length tree methods at designing drugs that stably bind to active sites of human rhinovirus, malaria, and HIV proteins.
NanoAgents: Molecular Docking Using Multi-Agent TechnologyCSCJournals
Traditional computer-based simulators for manual molecular docking for rational drug discovery have been very time consuming. In this research, a multi agent-based solution, named as NanoAgent, has been developed to automate the drug discovery process with little human intervention. In this solution, ligands and proteins are implemented as agents who pose the knowledge of permitted connections with other agents to form new molecules. The system also includes several other agents for surface determination, cavity finding and energy calculation. These agents autonomously activate and communicate with each other to come up with a most probable structure over the ligands and proteins, which are participating in deliberation. Domain ontology is maintained to store the common knowledge of molecular bindings, whereas specific rules pertaining to the behaviour of ligands and proteins are stored in their personal ontologies. Existing, Protein Data Bank (PDB) has also been used to calculate the space required by ligand to bond with the receptor. The drug discovery process of NanoAgent has exemplified exciting features of multi agent technology, including communication, coordination, negotiation, butterfly effect, self-organizing and emergent behaviour. Since agents consume fewer computing resources, NanoAgent has recorded optimal performance during the drug discovery process. NanoAgent has been tested for the discovery of the known drugs for the known protein targets. It has 80% accuracy by considering the prediction of the correct actual existence of the docked molecules using energy calculations. By comparing the time taken for the manual docking process with the time taken for the molecular docking by NanoAgent, there has been 95% efficiency.
The document discusses how molecular modelling can overcome limitations of representing chemical compounds using two-dimensional structures. It argues that biological targets respond not to a drug's structural makeup, but to its three-dimensional properties and fields. These fields, representing electrostatic, hydrophobic, and other intermolecular forces, can be used to screen for compounds with similar biological activity regardless of structural differences. The fields also allow modeling protein-ligand interactions and designing new compounds to target biological sites.
Finding Optimal Compound Dosage for Anti-Aging DrugsWenlan Hu
Anti-aging compound becomes a very integral part of the compound market. However, the lack of experience in this field makes it very hard for testing CROs to fully understand the mechanism of actions as well as efficacy of the compound, particularly the optimal dosage for anti-aging use. In the following slide we are trying to share with you the best way to do testing on the substances that are designed for anti-aging use.
PRESENTED BY: HARSHPAL SINGH WAHI, SHIKHA D. POPALI
USEFUL FOR PHARMACY STUDENTS AND ACADEMICS, INDUSTRIALS FOR MOLECULE DEVELOPMENT, MODELING, DRUG DISCOVERY, COMPUTATIONAL TOOLS, MOLECULAR DOCKING ITS TYPES, FACTORS AFFECTING, DIFFERENT STAGES, QSAR ADVANTAGES, NEED
Different compounds behave in distinguished manner when tested. A important aspect of compound development is to understand the mode of action of compounds. In order to achieve this goal, IVB use RNAseq and whole transcriptome analysis to assist the findings. Based on the findings, a well-round understanding of a compound can be generated, which assists the research findings in a efficient and timely way.
The document discusses the applications of bioinformatics in drug discovery. It describes how bioinformatics supports computer-aided drug design through computational methods to simulate drug-receptor interactions. It also discusses how virtual high-throughput screening can identify compounds that strongly bind to protein targets. The document outlines the key steps in drug design, including identifying the disease target, studying lead compounds, rational drug design techniques, and testing drugs. It emphasizes that bioinformatics can predict important drug characteristics like absorption and toxicity to save costs during development.
Sustainable chemistry is the design and use of chemicals that minimize impacts to human health, ecosystems and the environment. To assess sustainability, chemicals must be evaluated not only for their toxicity to humans and other species, but also for environmental persistence and potential formation of toxic products as a result of biotic and abiotic transformations. Traditional approaches to evaluate these characteristics are resource intensive and normally lack biologically mechanistic information that might facilitate a “safety by design” approach. A more promising approach would exploit recent advances in high-throughput (HT) and high-content (HC) screening methods coupled with computational methods for data analysis and predictive modelling. The elements of a framework to assess sustainable chemistry could rely on integration of non-testing approaches such as (Q)SAR and read-across, coupled with prediction models derived from HT/HC methods anchored to biological pathways (eg., Adverse Outcome Pathways). Acceptance and use of such integrated approaches necessitates a level of validation that demonstrates scientific confidence for specific decision contexts. Here we illustrate a scientific confidence framework for Tox21 approaches underpinned by a mechanistic basis, and illustrate how this will drive the development of enhanced non-testing approaches. This framework also focuses development of prediction models that are hybrid yet local in terms of their chemistry in nature. Specific examples highlight how the extensive testing library within ToxCast was profiled with respect to its chemistry, resulting in new insights that direct strategic testing as well as formulate new predictive models specifically SARs. This abstract does not necessarily reflect U.S. EPA policy.
Computer aided drug design uses computational methods to help design new drug molecules. It involves identifying targets related to a disease process and then designing molecules that will optimally bind to and modulate the target. There are two main approaches - ligand based drug design which relies on knowledge of molecules that already bind the target, and structure based drug design which uses the three dimensional structure of the target. Computational tools are used throughout the drug design process for tasks like molecular modeling, binding site prediction, virtual screening, and evaluating properties like absorption and toxicity. These tools help speed up the drug design process and make it more efficient.
In spite of extensive effort by industry and academia to develop new drugs, there are still several diseases that are in need of therapeutic agents and have yet to be developed.
10 years the identification rate of disease-associated targets has been higher than the therapeutics identification rate.
Nevertheless, it is apparent that computational tools provide high hopes that many of the diseases under investigation can be brought under control.
VITO-ABServices- in vitro methods -TN-MRG-023-EAn Van Rompay
This document summarizes alternative in vitro and in silico test methods developed by VITO to reduce animal testing. It describes cytotoxicity, inflammation, and genotoxicity assays using cell lines, as well as assays for ocular and dermal irritation, corrosion, and sensitization using 3D tissue models. The document also mentions use of the zebrafish embryo model to assess embryotoxicity, developmental neurotoxicity, and provides examples of validation studies conducted by VITO to replace animal testing.
We have 13 research and development projects within:
• Research
• Oncology
• Respiratory, Inflammation and Autoimmunity
• Cardiovascular and Metabolic Disease
• Antibody Discovery and Protein Engineering
• Pathology
• Biopharmaceutical Development
• Cell Culture and Fermentation Sciences
• Formulation Sciences
• Analytical Biotechnology Science
Docking studies on synthesized quinazoline compoundssrirampharma
The document summarizes docking studies performed on ten synthesized quinazoline compounds against the androgen receptor. Two compounds, 1e and 1g, were found to have the most favorable binding energies of -8.45 kcal/mol and -8.21 kcal/mol, respectively. Both compounds docked at the methionine pockets of the receptor. The study suggests compounds 1e and 1g may have potent anti-cancer activity against prostate cancer by binding well to the androgen receptor.
Good Model Organism for Anti Aging TestingWenlan Hu
Drug testing is taking more attention than ever before in a fast growing market for longevity compounds. In order to succeed in a competitive market and develop a pipeline method for quick drug development, we need to understand and choose the most suitable model organism for aging studies. The following content is intended to provide information on how to choose the best model for anti-aging drug testing.
The void between preclinical testing and clinical trials of drugs reveals a crucial roadblock to efficient drug discovery. This plan defines an apporach to bioengineer structurally representative human tissues in vitro using the power of outstanding international academic collaborations.
collaboration
Proteomics, definatio , general concept, signficanceKAUSHAL SAHU
INTRODUCTION
GENERAL CONCEPT
WHY PROTEIOMIC NECESERY?
WHAT PROTEOMIC CAN ANSWER?
PRTEOMICS- ANALYSIS AND IDENTIFICATION OF PROTEIN
TWO-DIMENSIONAL SDS-PAGE
MASS SPECTROMETERS
SIGNIFICANCE OF STUDY AN ITS IMPORTANCE
APPLICATIONS
CHALLENGES
CONCLUSIONS
REFERENCES
The Department for International Trade helps UK businesses export, especially in the defense, security, and cybersecurity sectors. It works with these industries and other government departments to promote UK capabilities abroad, build relationships with overseas buyers, and support key export opportunities. The DIT also led a strategy exercise with industry to define how the UK government will support the security sector in exporting from 2019-2024. This new strategy focuses on using all of the UK government's capabilities to help companies export in a collaborative way.
The document summarizes research and development efforts in the UK fire service. It describes the national structure which includes a national lead, regional leads across 11 regions, and support from 50 UK fire and rescue services. It works closely with various partners from government, industry, academia, and other emergency services. The approach covers fundamental, industrial, and capability development research. Key partners include various government defense and security organizations, universities, the fire industry association, and international partners through IFAFRI. It conducts surveys to identify emerging research needs and aims to map out fire and rescue related research. Future plans include more horizon scanning, capability analysis, and challenges to access science and technology assets.
Bioengineered 3D Co culture Lung In Vitro Models: Platforms to Integrate Cell...Ken Rogan
Cian O'Leary and his lab are developing 3D bioengineered in vitro models of the lung and other tissues using scaffolds.
[1] They have created bilayered collagen-hyaluronate scaffolds that support a mucociliary epithelial phenotype in lung cell culture models.
[2] The lab is also working on 3D hydrogel models of pancreatic cancer to study cell-matrix interactions and cancer progression.
[3] Future work includes developing dynamically stiffening hydrogel models and applying these platforms to study lung cancer and the pre-metastatic niche.
This document proposes predictive toxicology and toxicogenomics services from Accommodator Consultancy Services. It discusses the need for predictive toxicology due to bans on animal testing and advances in computational modeling. The company has infrastructure for molecular modeling and data analysis. Services proposed include data processing, toxicology data integration, text mining, expert systems, and assisting with carcinogenicity tests. Benefits include reducing animal testing and speeding safety assessments. Challenges and trends in the field are also reviewed.
Stable Drug Designing by Minimizing Drug Protein Interaction Energy Using PSO csandit
1. The document proposes using a particle swarm optimization (PSO) algorithm to design stable drug molecules that minimize interaction energy with target proteins.
2. In the algorithm, drugs are represented as variable-length trees containing functional groups, and PSO is used to optimize van der Waals and electrostatic interaction energies.
3. Results show that PSO performs better than previous fixed-length tree methods at designing drugs that stably bind to active sites of human rhinovirus, malaria, and HIV proteins.
NanoAgents: Molecular Docking Using Multi-Agent TechnologyCSCJournals
Traditional computer-based simulators for manual molecular docking for rational drug discovery have been very time consuming. In this research, a multi agent-based solution, named as NanoAgent, has been developed to automate the drug discovery process with little human intervention. In this solution, ligands and proteins are implemented as agents who pose the knowledge of permitted connections with other agents to form new molecules. The system also includes several other agents for surface determination, cavity finding and energy calculation. These agents autonomously activate and communicate with each other to come up with a most probable structure over the ligands and proteins, which are participating in deliberation. Domain ontology is maintained to store the common knowledge of molecular bindings, whereas specific rules pertaining to the behaviour of ligands and proteins are stored in their personal ontologies. Existing, Protein Data Bank (PDB) has also been used to calculate the space required by ligand to bond with the receptor. The drug discovery process of NanoAgent has exemplified exciting features of multi agent technology, including communication, coordination, negotiation, butterfly effect, self-organizing and emergent behaviour. Since agents consume fewer computing resources, NanoAgent has recorded optimal performance during the drug discovery process. NanoAgent has been tested for the discovery of the known drugs for the known protein targets. It has 80% accuracy by considering the prediction of the correct actual existence of the docked molecules using energy calculations. By comparing the time taken for the manual docking process with the time taken for the molecular docking by NanoAgent, there has been 95% efficiency.
The document discusses how molecular modelling can overcome limitations of representing chemical compounds using two-dimensional structures. It argues that biological targets respond not to a drug's structural makeup, but to its three-dimensional properties and fields. These fields, representing electrostatic, hydrophobic, and other intermolecular forces, can be used to screen for compounds with similar biological activity regardless of structural differences. The fields also allow modeling protein-ligand interactions and designing new compounds to target biological sites.
Finding Optimal Compound Dosage for Anti-Aging DrugsWenlan Hu
Anti-aging compound becomes a very integral part of the compound market. However, the lack of experience in this field makes it very hard for testing CROs to fully understand the mechanism of actions as well as efficacy of the compound, particularly the optimal dosage for anti-aging use. In the following slide we are trying to share with you the best way to do testing on the substances that are designed for anti-aging use.
PRESENTED BY: HARSHPAL SINGH WAHI, SHIKHA D. POPALI
USEFUL FOR PHARMACY STUDENTS AND ACADEMICS, INDUSTRIALS FOR MOLECULE DEVELOPMENT, MODELING, DRUG DISCOVERY, COMPUTATIONAL TOOLS, MOLECULAR DOCKING ITS TYPES, FACTORS AFFECTING, DIFFERENT STAGES, QSAR ADVANTAGES, NEED
Different compounds behave in distinguished manner when tested. A important aspect of compound development is to understand the mode of action of compounds. In order to achieve this goal, IVB use RNAseq and whole transcriptome analysis to assist the findings. Based on the findings, a well-round understanding of a compound can be generated, which assists the research findings in a efficient and timely way.
The document discusses the applications of bioinformatics in drug discovery. It describes how bioinformatics supports computer-aided drug design through computational methods to simulate drug-receptor interactions. It also discusses how virtual high-throughput screening can identify compounds that strongly bind to protein targets. The document outlines the key steps in drug design, including identifying the disease target, studying lead compounds, rational drug design techniques, and testing drugs. It emphasizes that bioinformatics can predict important drug characteristics like absorption and toxicity to save costs during development.
Sustainable chemistry is the design and use of chemicals that minimize impacts to human health, ecosystems and the environment. To assess sustainability, chemicals must be evaluated not only for their toxicity to humans and other species, but also for environmental persistence and potential formation of toxic products as a result of biotic and abiotic transformations. Traditional approaches to evaluate these characteristics are resource intensive and normally lack biologically mechanistic information that might facilitate a “safety by design” approach. A more promising approach would exploit recent advances in high-throughput (HT) and high-content (HC) screening methods coupled with computational methods for data analysis and predictive modelling. The elements of a framework to assess sustainable chemistry could rely on integration of non-testing approaches such as (Q)SAR and read-across, coupled with prediction models derived from HT/HC methods anchored to biological pathways (eg., Adverse Outcome Pathways). Acceptance and use of such integrated approaches necessitates a level of validation that demonstrates scientific confidence for specific decision contexts. Here we illustrate a scientific confidence framework for Tox21 approaches underpinned by a mechanistic basis, and illustrate how this will drive the development of enhanced non-testing approaches. This framework also focuses development of prediction models that are hybrid yet local in terms of their chemistry in nature. Specific examples highlight how the extensive testing library within ToxCast was profiled with respect to its chemistry, resulting in new insights that direct strategic testing as well as formulate new predictive models specifically SARs. This abstract does not necessarily reflect U.S. EPA policy.
Computer aided drug design uses computational methods to help design new drug molecules. It involves identifying targets related to a disease process and then designing molecules that will optimally bind to and modulate the target. There are two main approaches - ligand based drug design which relies on knowledge of molecules that already bind the target, and structure based drug design which uses the three dimensional structure of the target. Computational tools are used throughout the drug design process for tasks like molecular modeling, binding site prediction, virtual screening, and evaluating properties like absorption and toxicity. These tools help speed up the drug design process and make it more efficient.
In spite of extensive effort by industry and academia to develop new drugs, there are still several diseases that are in need of therapeutic agents and have yet to be developed.
10 years the identification rate of disease-associated targets has been higher than the therapeutics identification rate.
Nevertheless, it is apparent that computational tools provide high hopes that many of the diseases under investigation can be brought under control.
VITO-ABServices- in vitro methods -TN-MRG-023-EAn Van Rompay
This document summarizes alternative in vitro and in silico test methods developed by VITO to reduce animal testing. It describes cytotoxicity, inflammation, and genotoxicity assays using cell lines, as well as assays for ocular and dermal irritation, corrosion, and sensitization using 3D tissue models. The document also mentions use of the zebrafish embryo model to assess embryotoxicity, developmental neurotoxicity, and provides examples of validation studies conducted by VITO to replace animal testing.
We have 13 research and development projects within:
• Research
• Oncology
• Respiratory, Inflammation and Autoimmunity
• Cardiovascular and Metabolic Disease
• Antibody Discovery and Protein Engineering
• Pathology
• Biopharmaceutical Development
• Cell Culture and Fermentation Sciences
• Formulation Sciences
• Analytical Biotechnology Science
Docking studies on synthesized quinazoline compoundssrirampharma
The document summarizes docking studies performed on ten synthesized quinazoline compounds against the androgen receptor. Two compounds, 1e and 1g, were found to have the most favorable binding energies of -8.45 kcal/mol and -8.21 kcal/mol, respectively. Both compounds docked at the methionine pockets of the receptor. The study suggests compounds 1e and 1g may have potent anti-cancer activity against prostate cancer by binding well to the androgen receptor.
Good Model Organism for Anti Aging TestingWenlan Hu
Drug testing is taking more attention than ever before in a fast growing market for longevity compounds. In order to succeed in a competitive market and develop a pipeline method for quick drug development, we need to understand and choose the most suitable model organism for aging studies. The following content is intended to provide information on how to choose the best model for anti-aging drug testing.
The void between preclinical testing and clinical trials of drugs reveals a crucial roadblock to efficient drug discovery. This plan defines an apporach to bioengineer structurally representative human tissues in vitro using the power of outstanding international academic collaborations.
collaboration
Proteomics, definatio , general concept, signficanceKAUSHAL SAHU
INTRODUCTION
GENERAL CONCEPT
WHY PROTEIOMIC NECESERY?
WHAT PROTEOMIC CAN ANSWER?
PRTEOMICS- ANALYSIS AND IDENTIFICATION OF PROTEIN
TWO-DIMENSIONAL SDS-PAGE
MASS SPECTROMETERS
SIGNIFICANCE OF STUDY AN ITS IMPORTANCE
APPLICATIONS
CHALLENGES
CONCLUSIONS
REFERENCES
The Department for International Trade helps UK businesses export, especially in the defense, security, and cybersecurity sectors. It works with these industries and other government departments to promote UK capabilities abroad, build relationships with overseas buyers, and support key export opportunities. The DIT also led a strategy exercise with industry to define how the UK government will support the security sector in exporting from 2019-2024. This new strategy focuses on using all of the UK government's capabilities to help companies export in a collaborative way.
The document summarizes research and development efforts in the UK fire service. It describes the national structure which includes a national lead, regional leads across 11 regions, and support from 50 UK fire and rescue services. It works closely with various partners from government, industry, academia, and other emergency services. The approach covers fundamental, industrial, and capability development research. Key partners include various government defense and security organizations, universities, the fire industry association, and international partners through IFAFRI. It conducts surveys to identify emerging research needs and aims to map out fire and rescue related research. Future plans include more horizon scanning, capability analysis, and challenges to access science and technology assets.
The document discusses experiences working with DASA (Defense Aviation Security Agency) and outlines their vision for future aviation security solutions. The vision is to deliver transformational change in aviation security through innovative science and technology, improving ability to prevent terrorist attacks on planes while enhancing passenger experience and benefitting the aviation industry.
DASA Innovation Partner, Tony Collins, discusses International Outreach.
DASA Senior Exploitation Manager, Eleanor Rice, discusses exploitation of innovation.
DASA Access to Mentoring and Finance Lead, Alan Scrase, discusses how his support will add value
The Bank of England is seeking novel security features for future banknote generations to aid authentication by the public and retailers. The features should be difficult to counterfeit, intuitive to use, easy to communicate and educate about, durable, compatible with high-volume printing, and integrated into designs. The Bank has moved to polymer notes to address counterfeiting threats from advancing print technologies. It manages counterfeiting through secure designs, quality control, education, cash machine regulation, and law enforcement cooperation.
This document summarizes a presentation given to the Defence and Security Accelerator about Blue Bear's journey working with the Accelerator. The presentation discusses Blue Bear's project on open architectures for air-land interoperability and last mile resupply. It proposes a 6-month project to demonstrate autonomous airborne resupply for soldiers using unmanned aerial vehicles and open software architectures. It then outlines Blue Bear and its partners' experience working with the Accelerator, emphasizing the importance of attending launch events, engaging with stakeholders, and clearly writing proposals that solve problems and clarify exploitation pathways.
This document discusses challenges and opportunities in defense innovation. It outlines many technology areas that could be improved, such as robotics, autonomy, cybersecurity, and artificial intelligence. It also summarizes recent defense innovation competitions and their results. The document encourages collaboration between government, academia and industry to address defense problems through innovative solutions.
The document provides guidance on creating proposals for the Defence and Security Accelerator Innovation network event. It outlines that proposals should include details about the innovation idea, its relevance to defence and security, a proposed work plan, and exploitation strategy. It notes that technology readiness levels will be used to measure maturity. The document also describes the assessment criteria for proposals, which includes impact, likelihood of exploitation, advancing innovation, quality, and level of challenge.
The Defence and Security Accelerator is an innovation network established in 2016 to find and exploit innovations that support UK defence and security. It provides multiple entry points for innovators, including open calls and themed competitions. It offers a simple application process, funding for successful proposals, and support to help bring ideas to UK defence and security customers. Recent themed competitions have focused on areas like autonomous resupply, human-information relationships, battery power alternatives, and aviation security.
The document summarizes an innovation network event hosted by the Defence and Security Accelerator to launch a competition called "Improving Crowd Resilience". The event provided an overview of the competition which seeks innovative solutions that can use crowds to detect explosive and weapon threats in public spaces. Specifically, it challenges participants to develop technologies or methods that can 1) detect crowds' conscious and subconscious reactions to threats, 2) train the public to spot threats, or 3) enable crowds to report potential threats. Representatives from the Accelerator and Home Office discussed the goals and scope of the competition, emphasized their interest in multi-layered approaches, and took questions from attendees.
The document discusses challenges with rapidly integrating new sensors for military use. It describes how sensors currently have different data formats and standards, making integration difficult. It proposes developing common preprocessing and postprocessing functions, as well as an open architecture algorithm repository, to allow automated integration and fusion of data from various sensors. This would help overcome issues around scalability and real-time performance when exploiting sensor data for military operations.
This document discusses potential applications of synthetic biology for developing novel transparent materials and adhesives/interlayer materials. It notes that new materials could help address issues like moisture degradation, delamination, and reducing costs. The document outlines challenges with current materials and desirable properties for new solutions. It provides details on a competition seeking proposals for using synthetic biology to create novel transparent materials or adhesives/interlayers, noting what is and isn't desired in submissions. Overall the document scopes opportunities for synthetic biology to enhance transparent materials for defense applications.
The document discusses utilizing synthetic biology to develop novel transparent materials for defence applications such as transparent armor. It describes two challenges for a competition: 1) producing and characterizing novel transparent materials, and 2) developing adhesives and interlayer materials compatible with transparent armor. Currently, transparent armor has poor ballistic performance compared to opaque armor and is expensive due to specialized materials and processing required. Synthetic biology may be able to create new transparent composite materials inspired by biology with enhanced properties for armor applications.
The document discusses the limitations of battery power for small autonomous robots and soldiers. While smaller robots are safer and more practical for defense applications, current battery technology only allows for an hour or two of operation, which is not enough. Batteries are also limited in their energy density and unlikely to improve much in the next 10-20 years. The document proposes potential alternative power solutions that could be explored, such as photovoltaic energy capture from flames, novel engine/generator combinations, or single-use power sources that last a day or two before recycling. It concludes that long-endurance power sources for smaller robots present an opportunity for defense applications if technical challenges can be addressed.
The document discusses the limitations of battery power for small autonomous robots and soldiers. While small robots are attractive for defense applications like reconnaissance and patrolling, battery technology cannot provide enough energy density for more than an hour or two of operation. Fuel cells and generators are not feasible options at small scales either. However, the document suggests some potential solutions being explored, such as photovoltaic energy capture from flames, novel engine/generator combinations, or single-use power sources that could operate for a day before recycling. The goal is to develop alternative power sources that would enable the widespread use of smaller autonomous robots in defense applications.
An introduction to the themed competition and an overview of how it would be applied in a military setting. Presentation first shown on 1 December 2016.
Introduction to innovation and network event hosted by the Centre for Defence Enterprise. This presentation outlines CDE's role and signposts the future direction of the project.
How to Get CNIC Information System with Paksim Ga.pptxdanishmna97
Pakdata Cf is a groundbreaking system designed to streamline and facilitate access to CNIC information. This innovative platform leverages advanced technology to provide users with efficient and secure access to their CNIC details.
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...SOFTTECHHUB
The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?Speck&Tech
ABSTRACT: A prima vista, un mattoncino Lego e la backdoor XZ potrebbero avere in comune il fatto di essere entrambi blocchi di costruzione, o dipendenze di progetti creativi e software. La realtà è che un mattoncino Lego e il caso della backdoor XZ hanno molto di più di tutto ciò in comune.
Partecipate alla presentazione per immergervi in una storia di interoperabilità, standard e formati aperti, per poi discutere del ruolo importante che i contributori hanno in una comunità open source sostenibile.
BIO: Sostenitrice del software libero e dei formati standard e aperti. È stata un membro attivo dei progetti Fedora e openSUSE e ha co-fondato l'Associazione LibreItalia dove è stata coinvolta in diversi eventi, migrazioni e formazione relativi a LibreOffice. In precedenza ha lavorato a migrazioni e corsi di formazione su LibreOffice per diverse amministrazioni pubbliche e privati. Da gennaio 2020 lavora in SUSE come Software Release Engineer per Uyuni e SUSE Manager e quando non segue la sua passione per i computer e per Geeko coltiva la sua curiosità per l'astronomia (da cui deriva il suo nickname deneb_alpha).
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
Maruthi Prithivirajan, Head of ASEAN & IN Solution Architecture, Neo4j
Get an inside look at the latest Neo4j innovations that enable relationship-driven intelligence at scale. Learn more about the newest cloud integrations and product enhancements that make Neo4j an essential choice for developers building apps with interconnected data and generative AI.
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024Neo4j
Neha Bajwa, Vice President of Product Marketing, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!SOFTTECHHUB
As the digital landscape continually evolves, operating systems play a critical role in shaping user experiences and productivity. The launch of Nitrux Linux 3.5.0 marks a significant milestone, offering a robust alternative to traditional systems such as Windows 11. This article delves into the essence of Nitrux Linux 3.5.0, exploring its unique features, advantages, and how it stands as a compelling choice for both casual users and tech enthusiasts.
“An Outlook of the Ongoing and Future Relationship between Blockchain Technologies and Process-aware Information Systems.” Invited talk at the joint workshop on Blockchain for Information Systems (BC4IS) and Blockchain for Trusted Data Sharing (B4TDS), co-located with with the 36th International Conference on Advanced Information Systems Engineering (CAiSE), 3 June 2024, Limassol, Cyprus.
Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
Sudheer Mechineni, Head of Application Frameworks, Standard Chartered Bank
Discover how Standard Chartered Bank harnessed the power of Neo4j to transform complex data access challenges into a dynamic, scalable graph database solution. This keynote will cover their journey from initial adoption to deploying a fully automated, enterprise-grade causal cluster, highlighting key strategies for modelling organisational changes and ensuring robust disaster recovery. Learn how these innovations have not only enhanced Standard Chartered Bank’s data infrastructure but also positioned them as pioneers in the banking sector’s adoption of graph technology.
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...Neo4j
Leonard Jayamohan, Partner & Generative AI Lead, Deloitte
This keynote will reveal how Deloitte leverages Neo4j’s graph power for groundbreaking digital twin solutions, achieving a staggering 100x performance boost. Discover the essential role knowledge graphs play in successful generative AI implementations. Plus, get an exclusive look at an innovative Neo4j + Generative AI solution Deloitte is developing in-house.
A tale of scale & speed: How the US Navy is enabling software delivery from l...sonjaschweigert1
Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved:
- Reduction in onboarding time from 5 weeks to 1 day
- Improved developer experience and productivity through actionable findings and reduction of false positives
- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production.
We will cover:
- How to remove silos in DevSecOps
- How to build efficient development pipeline roles and component templates
- How to deliver security artifacts that matter for ATO’s (SBOMs, vulnerability reports, and policy evidence)
- How to streamline operations with automated policy checks on container images
3. Company Objectives
To improve understanding of protein/chemical compound
interactions at the molecular level.
To better simulate real life conditions through simulating
molecular interaction at the whole (or multi) genome level with
the inclusion of mutations
4. CDE Project 1 - A multi-genome in silico platform for
identification and screening of antimicrobial targets
GTACTTGCATCGGATCG…
5. CDE Project 2 - An in silico platform for the structural
characterisation of host-pathogen interactomes
6. Commercial Applications
Predicting binding affinity for thousands of
compounds versus all relevant bacterial and
human proteins.
Lead Discovery - Preliminary screening of
candidate compounds
Repurposing existing compounds for new
applications
Predicting toxicity and off-target hits Early or
late stage. Identify and eliminate problem
compounds sooner within the R&D cycle