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Full Guidance on Amino Acid/Protein Databases for Beginners
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147 students

Full Guidance on Amino Acid/Protein Databases for Beginners

Complete Beginner's Guide of Top Amino Acid/Protein Databases used in Bioinformatics along with their Utilization
Last updated 8/2022
English

What you'll learn

  • You will learn 15+ Amino Acid / Protein Different Databases used in Bioinformatics
  • You will learn the Whole Concept of Databases
  • You will learn about the Primary Databases in Bioinformatics
  • You will learn about the Secondary Databases in Bioinformatics
  • You will learn about the Amino Acid / Protein Databases in Bioinformatics
  • Complete up-to Date Beginner's Guide of top Amino Acid / Protein Used in Bioinformatics along with their utilization
  • Tools Used in Amino Acid / Protein Databases

Course content

7 sections17 lectures1h 3m total length
  • Introduction of Bioinformatics Databases2:58

    Biological databases are libraries of biological sciences, collected from scientific experiments, published literature, high-throughput experiment technology, and computational analysis. They contain information from research areas including genomics, proteomics, metabolomics, microarray gene expression, and phylogenetics. Information contained in biological databases includes gene function, structure, localization (both cellular and chromosomal), clinical effects of mutations as well as similarities of biological sequences and structures.

    Importance of Biological Database

    Databases are important tools in assisting scientists to analyze and explain a host of biological phenomena from the structure of biomolecules and their interaction, to the whole metabolism of organisms and to understanding the evolution of species. This knowledge helps facilitate the fight against diseases, assists in the development of medications, predicting certain genetic diseases and in discovering basic relationships among species in the history of life.

    Biological database design, development, and long-term management is a core area of the discipline of bioinformatics



  • Types of Biological Databases3:13

    Types of biological database on the base of biological molecules sequence, structure and functions:

    • Nucleic acid databases

    • Amino acid / protein databases

    • Specialized databases

    Types of biological database:

    There are three to four main types of biological databases on the base of data it contain;

    • Primary database

    • Secondary Databases

    • Specialized Database

    • Literature Databases

  • Difference between Primary & Secondary Databases1:57

    Primary Database : Primary databases (also known as data repositories) are highly organized, user-friendly gateways to the huge amount of biological data produced by researchers around the world. Most protein sequences found in databases are the product of conceptual translation of the genes and genomes determined using DNA sequencing.

    Examples of these include Swiss-Prot & PIR for protein sequences, GenBank & DDBJ for Genome sequences and the Protein Databank for protein structures.

    Secondary Database : Secondary databases comprise data derived from analyzing entries in primary databases. In most cases, they also provide tools to investigate further the genes and proteins.

    Secondary databases contain information derived from primary sequence data which are in the form of regular expressions (patterns), Fingerprints, profiles blocks or Hidden Markov Models. The type of information stored in each of the secondary databases is different.

    Examples of Secondary databases are as follows.

    • InterPro

    • UniProt

    • RefSeq

    • 1000 Genomes Project

Requirements

  • Basic Bioinformatics terms
  • Basic Understanding of Biology and Bioinformatics
  • Willingness to learn
  • Good Internet and notebook to note down the lectures

Description

This Bioinformatics course is going to game changer for you. Currently, there is an explosion of biological data. Bioinformatics is at the intersection of biology and computer science.

What is Bioinformatics ?

In biology, bioinformatics is defined as, “the use of computer to store, retrieve, analyze or predict the composition or structure of bio-molecules” . Bioinformatics is the application of computational techniques and information technology to the organization and management of biological data. Classical bioinformatics deals primarily with sequence analysis.

Aims of Bioinformatics

  • Development of database containing all biological information.

  • Development of better tools for data designing, annotation and mining.

  • Design and development of drugs by using simulation software.

  • Design and development of software tools for protein structure prediction function, annotation and docking analysis.

  • Creation and development of software to improve tools for analyzing sequences for their function and similarity with other sequences

Biological Databases

Biological data are complex, exception-ridden, vast, and incomplete. Therefore several databases have been created and interpreted to ensure unambiguous results. A collection of biological data arranged in a computer-readable form that enhances the speed of search and retrieval and convenient to use is called a biological database. A good database must have updated information.

Importance of Biological Database

A range of information like biological sequences, structures, binding sites, metabolic interactions, molecular action, functional relationships, protein families, motifs and homologous can be retrieved by using biological databases. The main purpose of a biological database is to store and manage biological data and information in computer readable forms.

In this course we learned about the different biological databases that are being used in bioinformatics and get to know a little bit about their details. Mainly these databases are divided into four categories and we learned about them base by base. And explained the difference among the primary and secondary database and explained their utilization in bioinformatics.

Amino acid / protein databases

Several publicly available data repositories and resources have been developed to support and manage protein related information, biological knowledge discovery and data-driven hypothesis generation. The databases in the table below are selected from the databases listed in the Nucleic Acids Research (NAR) databases issues and database collection and the databases cross-referenced in the UniProtKB. Most of these databases are cross-referenced with UniProt / UniProtKB so that identifiers can be mapped to each other.

                        Sequence databases

CCDS                       The Consensus CDS protein set database

DDB                         JDNA Data Bank of Japan

ENA                         European Nucleotide Archive

GenBank                GenBank nucleotide sequence database

Refseq                    NCBI Reference Sequence Database

UniGene                 Database of computationally identifies transcripts from the same locus

UniProtKB              Universal Protein Resource (UniProt)


               3D structure protein databases

DisProt                                 Database of Protein Disorder

MobiDB                                Database of intrinsically disordered and mobile proteins

ModBase                             Database of Comparative Protein Structure Models

PDBsum                               Pictorial database of 3D structures in the Protein Data Bank

ProteinModelPortal           Protein Model Portal of the PSI-Nature Structural Biology Knowledgebase

SMR                                     Database of annotated 3D protein structure models


This course will be extremely helpful to students of data analyst and bioinformaticians because they use the databases a lot in their work.

If you guys have any questions or suggestions please let me know in instructor inbox I’ll try to answer all of your questions within 12 hours.

Who this course is for:

  • Bioinformaticians are Encouraged to take this course.
  • Data Scientist are Encouraged to take this course
  • Researchers are also encouraged to take this Course
  • Anyone who wants to learn something NEW.