Bioinformatics and Computational Biology CSIR-DBT Lifesciences Part 1

BIOINFORMATICS AND COMPUTATIONAL BIOLOGY A. Major Bioinformatic Resources Sequence databases, gene expression databases, 3D structure database, pattern sequence databases. B. Basic Concepts of Sequence Analysis Database searches, BLAST and FASTA, sequence identity and similarity, definitions of homologues, orthologues, paralogues, repeat finding, scoring matrix, pairwise sequence alignments, multiple sequence alignments (MSA), application in taxonomy and phylogeny, comparative genomics. C. Gene annotation Prediction of gene function using homology, context, structures, networks; Genetic variation- polymorphism, deleterious mutations; Phylogenetics. D. Molecular Modelling and Dynamics 3-D structure visualization and simulation, Basic concepts in molecular modeling, Molecular Mechanics, Force fields etc. E. Classification and comparison of protein 3D structures Anatomy of proteins – Hierarchical organization of protein structure, Secondary and tertiary structure prediction, homology/comparative modeling, fold recognition, threading approaches, and ab initio structure prediction methods, AI-based methods of structure prediction (eg. AlphaFold). F. Drug design Chemical databases like NCI /PUBCHEM, Fundamentals of Receptor-ligand interactions, Structure-based drug design, Ligand based drug design: Structure-Activity Relationship, QSARs and pharmacophores, in silico predictions of drug activity and ADMET. G. Systems Biology Data science applications in biology, health and drug discovery, mathematical modelling of metabolic pathways and disease, digital health, personalized medicine. Bioinformatics Computational Biology CSIR DBT Lifesciences Genomics and Proteomics Structural Biology Biological Data Science Machine Learning in Biology Systems Biology Molecular Modeling Computational Drug Discovery