Industrial enzymes Market PPT: Trends and Dynamics, Drivers, Competitive land...IMARC Group
According to the latest report by IMARC Group,the global industrial enzymes market grew at a CAGR of 6% during 2015-2020.
Industrial enzymes are catalysts that are widely used to boost and accelerate chemical reactions across various industrial processes.
Creative Enzymes has long demonstrated expertise and reliability in development and establishment of biocatalysis systems. We provide products, services, and consultation covering every step in the whole process of a biocatalyst development, including the design, modification, expression, purification, production, and validation of specific enzymatic or microbial systems that catalyze the desired reactions. https://www.creative-enzymes.com/service/Biocatalysis-Services_67.html
Industrial enzymes Market PPT: Trends and Dynamics, Drivers, Competitive land...IMARC Group
According to the latest report by IMARC Group,the global industrial enzymes market grew at a CAGR of 6% during 2015-2020.
Industrial enzymes are catalysts that are widely used to boost and accelerate chemical reactions across various industrial processes.
Creative Enzymes has long demonstrated expertise and reliability in development and establishment of biocatalysis systems. We provide products, services, and consultation covering every step in the whole process of a biocatalyst development, including the design, modification, expression, purification, production, and validation of specific enzymatic or microbial systems that catalyze the desired reactions. https://www.creative-enzymes.com/service/Biocatalysis-Services_67.html
WHAT IS BIOINFORMATICS?
Computational Biology/Bioinformatics is the application of computer sciences and allied technologies to answer the questions of Biologists, about the mysteries of life. It has evolved to serve as the bridge between:
Observations (data) in diverse biologically-related disciplines and
The derivations of understanding (information)
APPLICATIONS OF BIOINFORMATICS
Computer Aided Drug Design
Microarray Bioinformatics
Proteomics
Genomics
Biological Databases
Phylogenetics
Systems Biology
BioAssay Express: Creating and exploiting assay metadataPhilip Cheung
The challenge of accurately characterizing bioassays is a real pain point for many drug discovery organizations. Research has shown that some organizations have legacy assay collections exceeding 20,000 protocols, the great majority of which are not accurately characterized. This problem is compounded by the fact that many new protocol registrations are still not following FAIR (Findability, Accessibility, Interoperability, and Reusability) Data principles.
BioAssay Express is a tool focused on transforming the traditional protocol description from an unstructured free form text into a well-curated data store based upon FAIR Data principles. By using well-defined annotations for assays, the tool enables precise ontology based searches without having to resort to imprecise keyword searches.
This talk explores a number of new important features designed to help scientists accelerate the drug discovery process. Some example use-cases include: enabling drug repositioning projects; improving SAR models; identifying appropriate machine learning data sets; fine-tuning integrative-omic pathways;
An aspirational goal for our team is to build a metadata schema based on semantic web vocabularies that is comprehensive to the extent that the text description becomes optional. One of the many possibilities is to take the initial prospective ELN entry for a bioassay protocol and feed it directly to an automated instrument. While there are many challenges involved in creating the ELN-to-robot loop, we will provide some insights into our collaborations with UCSF automation experts.
In summary, the ability to quickly and accurately search or analyze bioassay data (public or internal) is a rate limiting problem in drug discovery. We will present the latest developments toward removing this bottleneck.
https://plan.core-apps.com/acs_sd2019/abstract/6f58993d-a716-49ad-9b09-609edde5a3f4
EUGM15 - George Papadatos, Mark Davies, Nathan Dedman (EMBL-EBI): SureChEMBL:...ChemAxon
SureChEMBL is a new resource provided by the European Bioinformatics Institute (EMBL-EBI) that annotates, extracts and indexes chemistry from full text patent documents by means of continuous, automated text and image mining. SureChEMBL is perhaps the only open, freely available, live patent chemistry resource available, in a field that has been traditionally commercial.
Since its launch last September, the SureChEMBL interface provides sophisticated keyword and chemistry-based querying and exporting functionality against a corpus of more than 16 million compounds extracted from 13 million patent documents. Both the interface and the underlying data pipeline leverage extensively ChemAxon technologies for name to structure conversion, as well as compound standardisation, registration and searching.
In addition to providing an overview of the system, recent developments and improvements will be described. These include the introduction of various data interexchange and exporting options, such as flat files and a data feed client. Furthermore, our future plans for the SureChEMBL system will be outlined. To date, such plans include complementing the chemical annotations with biological ones, covering genes, proteins, diseases and indications. Furthermore, we are planning to further enrich the chemical annotations with a relevance score, indicating their importance in the patent document.
WHAT IS BIOINFORMATICS?
Computational Biology/Bioinformatics is the application of computer sciences and allied technologies to answer the questions of Biologists, about the mysteries of life. It has evolved to serve as the bridge between:
Observations (data) in diverse biologically-related disciplines and
The derivations of understanding (information)
APPLICATIONS OF BIOINFORMATICS
Computer Aided Drug Design
Microarray Bioinformatics
Proteomics
Genomics
Biological Databases
Phylogenetics
Systems Biology
BioAssay Express: Creating and exploiting assay metadataPhilip Cheung
The challenge of accurately characterizing bioassays is a real pain point for many drug discovery organizations. Research has shown that some organizations have legacy assay collections exceeding 20,000 protocols, the great majority of which are not accurately characterized. This problem is compounded by the fact that many new protocol registrations are still not following FAIR (Findability, Accessibility, Interoperability, and Reusability) Data principles.
BioAssay Express is a tool focused on transforming the traditional protocol description from an unstructured free form text into a well-curated data store based upon FAIR Data principles. By using well-defined annotations for assays, the tool enables precise ontology based searches without having to resort to imprecise keyword searches.
This talk explores a number of new important features designed to help scientists accelerate the drug discovery process. Some example use-cases include: enabling drug repositioning projects; improving SAR models; identifying appropriate machine learning data sets; fine-tuning integrative-omic pathways;
An aspirational goal for our team is to build a metadata schema based on semantic web vocabularies that is comprehensive to the extent that the text description becomes optional. One of the many possibilities is to take the initial prospective ELN entry for a bioassay protocol and feed it directly to an automated instrument. While there are many challenges involved in creating the ELN-to-robot loop, we will provide some insights into our collaborations with UCSF automation experts.
In summary, the ability to quickly and accurately search or analyze bioassay data (public or internal) is a rate limiting problem in drug discovery. We will present the latest developments toward removing this bottleneck.
https://plan.core-apps.com/acs_sd2019/abstract/6f58993d-a716-49ad-9b09-609edde5a3f4
EUGM15 - George Papadatos, Mark Davies, Nathan Dedman (EMBL-EBI): SureChEMBL:...ChemAxon
SureChEMBL is a new resource provided by the European Bioinformatics Institute (EMBL-EBI) that annotates, extracts and indexes chemistry from full text patent documents by means of continuous, automated text and image mining. SureChEMBL is perhaps the only open, freely available, live patent chemistry resource available, in a field that has been traditionally commercial.
Since its launch last September, the SureChEMBL interface provides sophisticated keyword and chemistry-based querying and exporting functionality against a corpus of more than 16 million compounds extracted from 13 million patent documents. Both the interface and the underlying data pipeline leverage extensively ChemAxon technologies for name to structure conversion, as well as compound standardisation, registration and searching.
In addition to providing an overview of the system, recent developments and improvements will be described. These include the introduction of various data interexchange and exporting options, such as flat files and a data feed client. Furthermore, our future plans for the SureChEMBL system will be outlined. To date, such plans include complementing the chemical annotations with biological ones, covering genes, proteins, diseases and indications. Furthermore, we are planning to further enrich the chemical annotations with a relevance score, indicating their importance in the patent document.
What process is used to obtain cells from bone marrow and normal peripheral blood?
What is the best cell counting and viability method for primary cells?
AllCells, your primary cells research partner, and Nexcelom Bioscience, your cell counting experts, have joined together in an exclusive collaboration to host a free webinar to help educate researchers and present data from their own experiences.
INTRODUCTION
HISTORY
WHAT ARE THE DATABASE…?
WHY DATABASE….?
THE “PERFECT” DATABASE
IDENTIFIERS and ACCESSION NUMBER
TECHNICAL DESIGN
MAINTAINANCE OF BIOLOGICAL DATABASES..
GENERAL FEATURES
SOURCES OF BIOLOGICAL DATA…
DIFFERENT TYPES OF BIOLOGICAL DATABASE
FUNCTION
DATA ENTRY AND QUALITY CONTROL
AVAILIBILITY
APPLICATION
DATA RECORD AT THE YEAR 2004
CONCLUSION
REFFERENCES
Supplements that provide funding to SBIR phase II awards for hiring students, veterans, and college instructors, and partnering with community colleges.
Multi-source connectivity as the driver of solar wind variability in the heli...Sérgio Sacani
The ambient solar wind that flls the heliosphere originates from multiple
sources in the solar corona and is highly structured. It is often described
as high-speed, relatively homogeneous, plasma streams from coronal
holes and slow-speed, highly variable, streams whose source regions are
under debate. A key goal of ESA/NASA’s Solar Orbiter mission is to identify
solar wind sources and understand what drives the complexity seen in the
heliosphere. By combining magnetic feld modelling and spectroscopic
techniques with high-resolution observations and measurements, we show
that the solar wind variability detected in situ by Solar Orbiter in March
2022 is driven by spatio-temporal changes in the magnetic connectivity to
multiple sources in the solar atmosphere. The magnetic feld footpoints
connected to the spacecraft moved from the boundaries of a coronal hole
to one active region (12961) and then across to another region (12957). This
is refected in the in situ measurements, which show the transition from fast
to highly Alfvénic then to slow solar wind that is disrupted by the arrival of
a coronal mass ejection. Our results describe solar wind variability at 0.5 au
but are applicable to near-Earth observatories.
Introduction:
RNA interference (RNAi) or Post-Transcriptional Gene Silencing (PTGS) is an important biological process for modulating eukaryotic gene expression.
It is highly conserved process of posttranscriptional gene silencing by which double stranded RNA (dsRNA) causes sequence-specific degradation of mRNA sequences.
dsRNA-induced gene silencing (RNAi) is reported in a wide range of eukaryotes ranging from worms, insects, mammals and plants.
This process mediates resistance to both endogenous parasitic and exogenous pathogenic nucleic acids, and regulates the expression of protein-coding genes.
What are small ncRNAs?
micro RNA (miRNA)
short interfering RNA (siRNA)
Properties of small non-coding RNA:
Involved in silencing mRNA transcripts.
Called “small” because they are usually only about 21-24 nucleotides long.
Synthesized by first cutting up longer precursor sequences (like the 61nt one that Lee discovered).
Silence an mRNA by base pairing with some sequence on the mRNA.
Discovery of siRNA?
The first small RNA:
In 1993 Rosalind Lee (Victor Ambros lab) was studying a non- coding gene in C. elegans, lin-4, that was involved in silencing of another gene, lin-14, at the appropriate time in the
development of the worm C. elegans.
Two small transcripts of lin-4 (22nt and 61nt) were found to be complementary to a sequence in the 3' UTR of lin-14.
Because lin-4 encoded no protein, she deduced that it must be these transcripts that are causing the silencing by RNA-RNA interactions.
Types of RNAi ( non coding RNA)
MiRNA
Length (23-25 nt)
Trans acting
Binds with target MRNA in mismatch
Translation inhibition
Si RNA
Length 21 nt.
Cis acting
Bind with target Mrna in perfect complementary sequence
Piwi-RNA
Length ; 25 to 36 nt.
Expressed in Germ Cells
Regulates trnasposomes activity
MECHANISM OF RNAI:
First the double-stranded RNA teams up with a protein complex named Dicer, which cuts the long RNA into short pieces.
Then another protein complex called RISC (RNA-induced silencing complex) discards one of the two RNA strands.
The RISC-docked, single-stranded RNA then pairs with the homologous mRNA and destroys it.
THE RISC COMPLEX:
RISC is large(>500kD) RNA multi- protein Binding complex which triggers MRNA degradation in response to MRNA
Unwinding of double stranded Si RNA by ATP independent Helicase
Active component of RISC is Ago proteins( ENDONUCLEASE) which cleave target MRNA.
DICER: endonuclease (RNase Family III)
Argonaute: Central Component of the RNA-Induced Silencing Complex (RISC)
One strand of the dsRNA produced by Dicer is retained in the RISC complex in association with Argonaute
ARGONAUTE PROTEIN :
1.PAZ(PIWI/Argonaute/ Zwille)- Recognition of target MRNA
2.PIWI (p-element induced wimpy Testis)- breaks Phosphodiester bond of mRNA.)RNAse H activity.
MiRNA:
The Double-stranded RNAs are naturally produced in eukaryotic cells during development, and they have a key role in regulating gene expression .
Richard's entangled aventures in wonderlandRichard Gill
Since the loophole-free Bell experiments of 2020 and the Nobel prizes in physics of 2022, critics of Bell's work have retreated to the fortress of super-determinism. Now, super-determinism is a derogatory word - it just means "determinism". Palmer, Hance and Hossenfelder argue that quantum mechanics and determinism are not incompatible, using a sophisticated mathematical construction based on a subtle thinning of allowed states and measurements in quantum mechanics, such that what is left appears to make Bell's argument fail, without altering the empirical predictions of quantum mechanics. I think however that it is a smoke screen, and the slogan "lost in math" comes to my mind. I will discuss some other recent disproofs of Bell's theorem using the language of causality based on causal graphs. Causal thinking is also central to law and justice. I will mention surprising connections to my work on serial killer nurse cases, in particular the Dutch case of Lucia de Berk and the current UK case of Lucy Letby.
(May 29th, 2024) Advancements in Intravital Microscopy- Insights for Preclini...Scintica Instrumentation
Intravital microscopy (IVM) is a powerful tool utilized to study cellular behavior over time and space in vivo. Much of our understanding of cell biology has been accomplished using various in vitro and ex vivo methods; however, these studies do not necessarily reflect the natural dynamics of biological processes. Unlike traditional cell culture or fixed tissue imaging, IVM allows for the ultra-fast high-resolution imaging of cellular processes over time and space and were studied in its natural environment. Real-time visualization of biological processes in the context of an intact organism helps maintain physiological relevance and provide insights into the progression of disease, response to treatments or developmental processes.
In this webinar we give an overview of advanced applications of the IVM system in preclinical research. IVIM technology is a provider of all-in-one intravital microscopy systems and solutions optimized for in vivo imaging of live animal models at sub-micron resolution. The system’s unique features and user-friendly software enables researchers to probe fast dynamic biological processes such as immune cell tracking, cell-cell interaction as well as vascularization and tumor metastasis with exceptional detail. This webinar will also give an overview of IVM being utilized in drug development, offering a view into the intricate interaction between drugs/nanoparticles and tissues in vivo and allows for the evaluation of therapeutic intervention in a variety of tissues and organs. This interdisciplinary collaboration continues to drive the advancements of novel therapeutic strategies.
THE IMPORTANCE OF MARTIAN ATMOSPHERE SAMPLE RETURN.Sérgio Sacani
The return of a sample of near-surface atmosphere from Mars would facilitate answers to several first-order science questions surrounding the formation and evolution of the planet. One of the important aspects of terrestrial planet formation in general is the role that primary atmospheres played in influencing the chemistry and structure of the planets and their antecedents. Studies of the martian atmosphere can be used to investigate the role of a primary atmosphere in its history. Atmosphere samples would also inform our understanding of the near-surface chemistry of the planet, and ultimately the prospects for life. High-precision isotopic analyses of constituent gases are needed to address these questions, requiring that the analyses are made on returned samples rather than in situ.
Deep Behavioral Phenotyping in Systems Neuroscience for Functional Atlasing a...Ana Luísa Pinho
Functional Magnetic Resonance Imaging (fMRI) provides means to characterize brain activations in response to behavior. However, cognitive neuroscience has been limited to group-level effects referring to the performance of specific tasks. To obtain the functional profile of elementary cognitive mechanisms, the combination of brain responses to many tasks is required. Yet, to date, both structural atlases and parcellation-based activations do not fully account for cognitive function and still present several limitations. Further, they do not adapt overall to individual characteristics. In this talk, I will give an account of deep-behavioral phenotyping strategies, namely data-driven methods in large task-fMRI datasets, to optimize functional brain-data collection and improve inference of effects-of-interest related to mental processes. Key to this approach is the employment of fast multi-functional paradigms rich on features that can be well parametrized and, consequently, facilitate the creation of psycho-physiological constructs to be modelled with imaging data. Particular emphasis will be given to music stimuli when studying high-order cognitive mechanisms, due to their ecological nature and quality to enable complex behavior compounded by discrete entities. I will also discuss how deep-behavioral phenotyping and individualized models applied to neuroimaging data can better account for the subject-specific organization of domain-general cognitive systems in the human brain. Finally, the accumulation of functional brain signatures brings the possibility to clarify relationships among tasks and create a univocal link between brain systems and mental functions through: (1) the development of ontologies proposing an organization of cognitive processes; and (2) brain-network taxonomies describing functional specialization. To this end, tools to improve commensurability in cognitive science are necessary, such as public repositories, ontology-based platforms and automated meta-analysis tools. I will thus discuss some brain-atlasing resources currently under development, and their applicability in cognitive as well as clinical neuroscience.
This presentation explores a brief idea about the structural and functional attributes of nucleotides, the structure and function of genetic materials along with the impact of UV rays and pH upon them.
A brief information about the SCOP protein database used in bioinformatics.
The Structural Classification of Proteins (SCOP) database is a comprehensive and authoritative resource for the structural and evolutionary relationships of proteins. It provides a detailed and curated classification of protein structures, grouping them into families, superfamilies, and folds based on their structural and sequence similarities.
1. Biotech is STEM Education
Ellyn Daugherty ellyn@BiotechEd.com www.BiotechEd.com
Biotechnology is the the application of
science, engineering, and technology
to manipulate cells and their
components to produce products or
services that may improve the quality
of human life Industrial Products
Medical Products
Food Products
Biofuels
Bioinformatics
2. Every step in
biotech research
and development
integrates the
concepts,
processes and
technologies of
biology,
chemistry,
physics,
mathematics, and
engineering.
3. What a Biotech STEM Course Might Look Like
• Scientific Methodology, Lab Research, and Computer Tools
> Expt design, databases, molecular modeling, reports
• Standard Lab Operating Procedures and Instruments
> Solution Prep, Cell Culture
> DNA/protein Isolation & Assays
• Recombinant DNA Protein Production
• Research/Manufacturing Applications:
> Pharmaceuticals
> Agricultural Products
> Industrial Products
> Environmental Issues
> Biodefense, Food Safety
> Opportunities to design protocols and products
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0
0.1
0.2
0.3
0.4
0 5 10
Absorbance(a.u)
Fractions (#)
Ion Exchange Chromatography
4. BS4NM, 2017
9 new/improved Molecular Modeling and
Bioinformatics Activities
• (Introducing) Computer-generated Molecular Models
• Viewing the 3-D Structure of a DNA Molecular Model
• The AA Sequence Determines Structure of Insulin
• Insulin: Complicated Choices for a Simple Protein
• Studying Protein (Amylase) Three-Dimensionally
• A Glow in the Dark Cat? What’s Next?
• Who Passes the BRCA1 Test?
• PCR Primer Design
• What’s the Difference? Alpha or Beta, It’s All Amylase.