INTRODUCTION
WHAT IS DATA AND DATABASE?
WHAT IS BIOLOGICAL DATABASE?
TYPES OF BIOLOGICAL DATABASE
PRIMARY DATABASE
Nucleic acid sequence database
Protein sequence database
SECONDARY DATABASE
COMPOSITE DATABASE
TERTIARY DATABASE
WHY NEED?
CONCLUSION
REFRENCES
INTRODUCTION.
NCBI.
EMBL.
DDBJ.
CONCLUSION.
REFERENSE.
The National Center for Biotechnology Information (NCBI) is part of the United States National Library of Medicine (NLM), a branch of the National Institutes of Health.
The NCBI is located in Bethesda, Maryland and was founded in 1988 through legislation sponsored by Senator Claude Pepper.
The NCBI houses a series of databases relevant to biotechnology and biomedicine. Major databases include GenBank for DNA sequences and PubMed, a bibliographic database for the biomedical literature.
All these databases are available online through the Entrez search engine.
An integrated publicly accessible bioinformatics resource to support genomic/proteomic research and scientific discovery.
Established in 1984, by the National Biomedical Research Foundation (NBRF) Georgetown University Medial Center, Washington D.C., USA.
It is the source of annotated protein databases and analysis tools for the researchers.
Serve as primary resource for the exploration of protein information.
Accessible by text search for entry and list retrieval, and also BLAST search and peptide match.
INTRODUCTION.
NCBI.
EMBL.
DDBJ.
CONCLUSION.
REFERENSE.
The National Center for Biotechnology Information (NCBI) is part of the United States National Library of Medicine (NLM), a branch of the National Institutes of Health.
The NCBI is located in Bethesda, Maryland and was founded in 1988 through legislation sponsored by Senator Claude Pepper.
The NCBI houses a series of databases relevant to biotechnology and biomedicine. Major databases include GenBank for DNA sequences and PubMed, a bibliographic database for the biomedical literature.
All these databases are available online through the Entrez search engine.
An integrated publicly accessible bioinformatics resource to support genomic/proteomic research and scientific discovery.
Established in 1984, by the National Biomedical Research Foundation (NBRF) Georgetown University Medial Center, Washington D.C., USA.
It is the source of annotated protein databases and analysis tools for the researchers.
Serve as primary resource for the exploration of protein information.
Accessible by text search for entry and list retrieval, and also BLAST search and peptide match.
This presentation gives you a detailed information about the swiss prot database that comes under UniProtKB. It also covers TrEMBL: a computer annotated supplement to Swiss-Prot.
The Protein Data Bank (PDB) is a database for the three-dimensional structural data of large biological molecules, such as proteins and nucleic acids. This presentation deals with what, why, how, where and who of PDB. In this presentation we have also included briefing about various file formats available in PDB with emphasis on PDB file format
INTRODUCTION OF BIOINFORMATICS
HISTORY
WHAT IS DATABASE
NEED FOR DATABASE
TYPES OF DATABASE
PRIMARY DATABASE
NUCLEIC ACID SEQUENCE DATABASE
GENE BANK
INTRODUCTION
GENE BANK SUBMISSION TOOL
GENE BANK SUBMISSION TYPE
HOW TO RETRIEVE DATA FROM GENEBANK
APPLICATION
CONCLUSION
REFERENCE
SWISS-PROT- Protein Database- The Universal Protein Resource Knowledgebase (UniProtKB) is the central hub for the collection of functional information on proteins.
The Protein Information Resource, is an integrated public bioinformatics resource to support genomic and proteomic research, and scientific studies & contains protein sequences databases
The DNA Data Bank of Japan (DDBJ) is a biological database that collects DNA sequences. It is located at the National Institute of Genetics (NIG) in the Shizuoka prefecture of Japan. It is also a member of the International Nucleotide Sequence Database Collaboration or INSDC.
this presentation is about bioinformatics. the contents of bioinformatics are as under:
1.Introduction to bioinformatics.
2.Why bioinformatics is necessary?
3.Goals of bioinformatics
4.Field of bioinformatics
5.Where bioinformatics help?
6.Applications of bioinformatics
7.Software and tools of bioinformatics
8.References
Sequence alig Sequence Alignment Pairwise alignment:-naveed ul mushtaq
Sequence Alignment Pairwise alignment:- Global Alignment and Local AlignmentTwo types of alignment Progressive Programs for multiple sequence alignment BLOSUM Point accepted mutation (PAM)PAM VS BLOSUM
This presentation gives you a detailed information about the swiss prot database that comes under UniProtKB. It also covers TrEMBL: a computer annotated supplement to Swiss-Prot.
The Protein Data Bank (PDB) is a database for the three-dimensional structural data of large biological molecules, such as proteins and nucleic acids. This presentation deals with what, why, how, where and who of PDB. In this presentation we have also included briefing about various file formats available in PDB with emphasis on PDB file format
INTRODUCTION OF BIOINFORMATICS
HISTORY
WHAT IS DATABASE
NEED FOR DATABASE
TYPES OF DATABASE
PRIMARY DATABASE
NUCLEIC ACID SEQUENCE DATABASE
GENE BANK
INTRODUCTION
GENE BANK SUBMISSION TOOL
GENE BANK SUBMISSION TYPE
HOW TO RETRIEVE DATA FROM GENEBANK
APPLICATION
CONCLUSION
REFERENCE
SWISS-PROT- Protein Database- The Universal Protein Resource Knowledgebase (UniProtKB) is the central hub for the collection of functional information on proteins.
The Protein Information Resource, is an integrated public bioinformatics resource to support genomic and proteomic research, and scientific studies & contains protein sequences databases
The DNA Data Bank of Japan (DDBJ) is a biological database that collects DNA sequences. It is located at the National Institute of Genetics (NIG) in the Shizuoka prefecture of Japan. It is also a member of the International Nucleotide Sequence Database Collaboration or INSDC.
this presentation is about bioinformatics. the contents of bioinformatics are as under:
1.Introduction to bioinformatics.
2.Why bioinformatics is necessary?
3.Goals of bioinformatics
4.Field of bioinformatics
5.Where bioinformatics help?
6.Applications of bioinformatics
7.Software and tools of bioinformatics
8.References
Sequence alig Sequence Alignment Pairwise alignment:-naveed ul mushtaq
Sequence Alignment Pairwise alignment:- Global Alignment and Local AlignmentTwo types of alignment Progressive Programs for multiple sequence alignment BLOSUM Point accepted mutation (PAM)PAM VS BLOSUM
BIOLOGICAL DATABASES :
A biological database is a large, organized body of persistent data, usually associated with computerized software designed to update, query, and retrieve components of the data stored within the system.
The chief objective of the development of a database is to organize data in a set of structured records to enable easy retrieval of information.
Example. A few popular databases are GenBank from NCBI (National Center for Biotechnology Information), SwissProt from the Swiss Institute of Bioinformatics and PIR from the Protein Information Resource.
IMPORTANCE OF DATABASES :
1. Databases act as a store house of information.
2. Databases are used to store and organize data in such a way that information can be retrieved easily via a variety of search criteria.
3. It allows knowledge discovery, which refers to the identification of connections between pieces of information that were not known when the information was first entered. This facilitates the discovery of new biological insights from raw data.
4. Secondary databases have become the molecular biologist’s reference library over the past decade or so, providing a wealth of information on just about any gene or gene product that has been investigated by the research community.
5. It helps to solve cases where many users want to access the same entries of data.
6. Allows the indexing of data.
7. It helps to remove redundancy of data.
TYPES OF BIOLOGICAL DATABASES:
Biological databases are classified on
1. Based on content of biological data
2. Based on the nature of data.
1. BASED ON CONTENT OF BIOLOGICAL DATA :
Based on their contents, biological databases can be roughly divided into two categories:
1. Primary databases
2. Secondary databases
Bioinformatics in biotechnology by kk sahu KAUSHAL SAHU
Introduction
Bioinformatics – definition
History
Required skills
Core areas of bioinformatics
Components of bioinformatics
Nomenclature system in bioinformatics
Biological databases
Types of database
Bioinformatics tools
Applications of bioinformatics
Conclusion
References
Bioinformatics is the application of Information technology to store, organize and analyze the vast amount of biological data which is available in the form of sequences and structures of proteins and nucleic acids. The biological information of nucleic acids is available as sequences while the data of proteins is available as sequences and structures.
A biological database is a collection of data that is organized so that its contents can easily be accessed, managed, and updated. The activity of preparing a database can be divided in to:
Collection of data in a form which can be easily accessed
Making it available to a multi-user system (always available for the user)
In the era of computers life sciences databases are still understated. Here is my presentation on biological databases. Complete classification of different databases.
For more presentations and work come and visit
https://www.linkedin.com/in/shradheya-r-r-gupta-54492984/
BIOINFORMATICS AND DATABASES IN BIOINFORMATICS.pdfPravanjanDash
BIOLOGICAL DATABASES are
Collection of files containing records of biological data in machine readable form Can be accessed, added, retrieved, manipulated and modified.
COMPUNATIONAL BIOLOGY AND DATABASES IN BIOINFORMATICS.pptxPravanjanDash
BIOLOGICAL DATABASES are
Collection of files containing records of biological data in machine readable form Can be accessed, added, retrieved, manipulated and modified.
Introduction
History
Tumor suppressor gene- pRB
- RB gene
- Role of RB in regulation of cell cycle
- Tumor associated with RB gene mutation
Tumor suppressor gene- p53
- What is p53 gene?
- Function of p53 gene
- How it regulates cell cycle
- What happen if p53 gene inactivated
- Cancer associated with p53 mutation
- Conclusion
- References
Introduction
Definition
History
Two hit hypothesis
Functions
Mutation in tumor suppressor genes
What is mutation
Inherited mutation of TSGs
Acquired mutation of TSGs
What is Oncogenes?
TSGs and Oncogenes : Brakes and accelerators
Stop and go signal
Examples of TSGs:
RB-The retinoblastoma gene
P53 protein
TSGs &cell suicide
Conclusion
References
Introduction
Protein synthesis
Synthesis of secretory proteins on membrane-bound ribosomes
Processing of newly synthesized proteins in the ER
Synthesis of integral membrane protein on membrane bound ribosomes
Maintenance of membrane asymmetry
Conclusion
Reference
Introduction
Definition
Factors required for Translation
Formation of aminoacyl t-RNA
1)Activation of amino acid
2) Transfer of amino acid to t-RNA
Translation involves following steps:-
1)Initiation
2)Elongation
3)Termination
Conclusion
Reference
Introduction
Definition
History
central dogma
Major components
mRNA,tRNA,rRNA
Energy source
Amino acids
Protien factor
Enzymes
Inorganic ions
Step involves in translation:
Aminoacylation of tRNA
Initiation
Elongation
termination
Importance of translation
Conclusion
Reference
Introduction
Protein modifications
Folding
Chaperon mediated
Enzymatic
Cleavage
Addition of functional groups
Chemical groups
Hydrophobic groups
Proteolysis
Conclusion
Reference
INTRODUCTION
HISTORY
WHAT IS TRANSCRIPTION
PROKARYOTIC TRANSCRIPTION
STEPS OF TRANSCRIPTION
HOW TRANSCRIPTION OCCURS
PROCESS OF TRANSCRIPTION
Initiation
Elongation
Termination
CONCLUSION
REFRENCES
Enzyme Kinetics and thermodynamic analysisKAUSHAL SAHU
Introduction
Kinetics and thermodynamicSG
Thermodynamic in enzymatic reactions
balanced equations in chemical reactions
changes in free energy determine the direction & equilibrium state of chemical reactions
the rates of reactions
Factors effecting enzymatic activity
(i) Enzyme concentration.
(ii) Substrate concentration.
(iii)Temperature
(iv) pH.
(v) Activators.
(vi)Inhibitors
Michaelis-menten equation
CONCLUSIONS
REFERENECES
Recepter mediated endocytosis by kk ashuKAUSHAL SAHU
INTRODUCTION
DEFINITION OF RECEPTOR MEDIATED ENDOCYTOSIS
WHAT TYPE OF LIGANDS ENTER BY RME?
FORMATION OF CLATHRIN-COATED VESICLES
TRISKELIONS
ROLE OF DYNAMIN IN THE FORMATION OF CLATHRIN-COATED VESICLES
ROLE OF PHOSPHOLIPIDS IN THE FORMATION OF COATED VESICLES
ENDOCYTIC PATHWAY
LDLs AND CHOLESTROL METABOLISM
CONCLUSION
REFERENCES
The delivery of newly synthesized protein to their proper cellular destination, usually referred to as protein targeting or sorting.
The mode of protein transport depends chiefly on the location in the cell cytoplasm of the polysomes involved in protein synthesis.
There are two modes of protein sorting:-
1) Co - translational Transportation.
2) Post - translational Transportation.
Prokaryotic translation machinery by kk KAUSHAL SAHU
Introduction
Definition
Factors required for Translation
Formation of aminoacyl t-RNA
1)Activation of amino acid
2) Transfer of amino acid to t-RNA
Translation involves following steps:-
1)Initiation
2)Elongation
3)Termination
Conclusion
Reference
The increased availability of biomedical data, particularly in the public domain, offers the opportunity to better understand human health and to develop effective therapeutics for a wide range of unmet medical needs. However, data scientists remain stymied by the fact that data remain hard to find and to productively reuse because data and their metadata i) are wholly inaccessible, ii) are in non-standard or incompatible representations, iii) do not conform to community standards, and iv) have unclear or highly restricted terms and conditions that preclude legitimate reuse. These limitations require a rethink on data can be made machine and AI-ready - the key motivation behind the FAIR Guiding Principles. Concurrently, while recent efforts have explored the use of deep learning to fuse disparate data into predictive models for a wide range of biomedical applications, these models often fail even when the correct answer is already known, and fail to explain individual predictions in terms that data scientists can appreciate. These limitations suggest that new methods to produce practical artificial intelligence are still needed.
In this talk, I will discuss our work in (1) building an integrative knowledge infrastructure to prepare FAIR and "AI-ready" data and services along with (2) neurosymbolic AI methods to improve the quality of predictions and to generate plausible explanations. Attention is given to standards, platforms, and methods to wrangle knowledge into simple, but effective semantic and latent representations, and to make these available into standards-compliant and discoverable interfaces that can be used in model building, validation, and explanation. Our work, and those of others in the field, creates a baseline for building trustworthy and easy to deploy AI models in biomedicine.
Bio
Dr. Michel Dumontier is the Distinguished Professor of Data Science at Maastricht University, founder and executive director of the Institute of Data Science, and co-founder of the FAIR (Findable, Accessible, Interoperable and Reusable) data principles. His research explores socio-technological approaches for responsible discovery science, which includes collaborative multi-modal knowledge graphs, privacy-preserving distributed data mining, and AI methods for drug discovery and personalized medicine. His work is supported through the Dutch National Research Agenda, the Netherlands Organisation for Scientific Research, Horizon Europe, the European Open Science Cloud, the US National Institutes of Health, and a Marie-Curie Innovative Training Network. He is the editor-in-chief for the journal Data Science and is internationally recognized for his contributions in bioinformatics, biomedical informatics, and semantic technologies including ontologies and linked data.
Nutraceutical market, scope and growth: Herbal drug technologyLokesh Patil
As consumer awareness of health and wellness rises, the nutraceutical market—which includes goods like functional meals, drinks, and dietary supplements that provide health advantages beyond basic nutrition—is growing significantly. As healthcare expenses rise, the population ages, and people want natural and preventative health solutions more and more, this industry is increasing quickly. Further driving market expansion are product formulation innovations and the use of cutting-edge technology for customized nutrition. With its worldwide reach, the nutraceutical industry is expected to keep growing and provide significant chances for research and investment in a number of categories, including vitamins, minerals, probiotics, and herbal supplements.
Seminar of U.V. Spectroscopy by SAMIR PANDASAMIR PANDA
Spectroscopy is a branch of science dealing the study of interaction of electromagnetic radiation with matter.
Ultraviolet-visible spectroscopy refers to absorption spectroscopy or reflect spectroscopy in the UV-VIS spectral region.
Ultraviolet-visible spectroscopy is an analytical method that can measure the amount of light received by the analyte.
Professional air quality monitoring systems provide immediate, on-site data for analysis, compliance, and decision-making.
Monitor common gases, weather parameters, particulates.
Richard's aventures in two entangled wonderlandsRichard 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.
1. PRIMARY AND SECONDARY BIOLOGICAL
DATABASE
By
KAUSHAL KUMAR SAHU
Assistant Professor (Ad Hoc)
Department of Biotechnology
Govt. Digvijay Autonomous P. G. College
Raj-Nandgaon ( C. G. )
2. CONTANTS
• INTRODUCTION
• WHAT IS DATA AND DATABASE?
• WHAT IS BIOLOGICAL DATABASE?
• TYPES OF BIOLOGICAL DATABASE
– PRIMARY DATABASE
• Nucleic acid sequence database
• Protein sequence database
– SECONDARY DATABASE
– COMPOSITE DATABASE
– TERTIARY DATABASE
• WHY NEED?
• CONCLUSION
• REFRENCES
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2
3. INTRODUCTION
Application of
computational
techniques
Management
and Analysis
of biological
Data.
Bioinformatic
History:
•The first English use of the word "data" is from the 1640s.
• Using the word "data" to mean "transmittable and
storable computer information" was first done in 1946.
•The first database was created in 1956 .
•Insulin protein is the first protein to be sequenced.
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4. DATA
• A series of
observations,
measurements ,
or facts;
information
and also
called: information
computing.
DATABASE
• A large
systematized collecti
on of data that can
be
expanded,updated,
and retrieved rapidly
for specific purpose.
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5. BIOLOGICAL DATABASE
• Storage of biological information(Nucleic
acid sequence, Protein sequence and
structure).
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6. DEFINATION
Biological database are computer sites
that organise, store and disseminate files that
contain information consisting of literature
references, nucleic acid sequences and Protein
sequences and structure.
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9. Primary Database
Stores biomolecular sequences (Protein or Nucleic acid )
and associated annotation information (Organism,
species, mutation linked to particular diseases,
bibliographic etc. )
Primary sources are original materials on which research
is based.
Neither interpreted nor condensed nor evaluated by
other writers.
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11. NCBI
• Located in Bethesda, Maryland and was founded in 1988
through legislation sponsored by Senator Claude Pepper.
• Was directed by David Lipman, one of the original authors of
the BLAST.
• The NCBI houses a series of databases.
EX. : GenBank - DNA sequences.
PubMed (a bibliographic database ) - the biomedical
literature.
Other databases - Epigenomics database.
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12. GenBank
• A part of International nucleiotide sequence database
collaboration which comprised of EMBL, DDBJ GenBank
at NCBI.
• The database started in 1982 by Walter Goad and Los
Alamos National Laboratory.
• In 15 August 2017, GenBank release 221.0 has
203,180,606 loci, 240,343,378,258 bases, from
203,180,606 reported sequences.
https://www.revolvy.com/main/index.php?s=GenBank
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13. EMBL-EBI
• Established in 1980 at the EMBL laboratories in
Heidelberg, Germany.
• An international, innovative and interdisciplinary
research organisation funded by 23 member states and
two associate member states.
• Location- Hinxton, Cambridge, UK.
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14. DDBJ
• 1987 DDBJ release 1 was provided.
• Situated in Mishima, Japan.
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17. SECONDARY DATABASE
• Derived from the analysis of primary data.
• Present in the form of regular expressions(patterns),
fringerprints, blocks.
Secondary
databse
PROSITE
PRINTS
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18. PROSITE
• It is consists of entries describing the protein families,
domains and functional sites as wel as aminocid patterns
and profiles in them.
• Complemented by collection of rules based profiles and
pattern i.e. ProRule.
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19. PRINTS
• Collection of protein motif fringerprints.
• the motifs do not overlap, but are separated along a
sequence, though they may be contiguous in 3D-space.
• Fingerprints can encode protein folds and functionalities
more flexibly and powerfully than can single motifs, full
diagnostic potency deriving from the mutual context
provided by motif neighbours.
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20. COMPOSITE DATABASE
• Represent an amalgamation of several primary database
sources and are easy to use.
• Access all the relevant information from a single source
rather than connect to multiple resources.
Ex. NCBI, UniProt etc.
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21. CONCLUSION
• Bioinformatics is the application of information
technology to store, organize To make biological data
available in computer-readable form.
• We can easily analyze the vast amount of biological
data which is available in the form of sequences and
structures of proteins(the building block of organisms)
and nucleic acid (the information carrior).
• Need for storing and communicating large datasets has
grown .
• Make biological data available to scientists.
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