BIO INFORMATICS_LAB

PRACTICAL

COURSE OUTCOMES

CO-1 Understand the structure and purpose of biological databases.
CO-2 Retrieve and analyze sequence and structural data from major databases.
CO-3 Perform sequence alignment and homology searches using tools like BLAST.
CO-4 Visualize genomic and protein structures for functional annotation.

COURSE CONTENT

  1. Nucleic acid and protein databases.
  2. Sequence retrieval from databases.
  3. Sequence alignment.
  4. Sequence homology and gene annotation.
  5. Searching Data from NCBI Database.
  6. Working on EMBL.
  7. Searching structural data from PDB.
  8. Genome Map viewer from NCBI.
  9. Database search using BLAST.
  10. Sequence alignments.
  11. Sequence and structure visualization.

BIO INFORMATICS_Theory

COURSE CONTENT

THEORY

UNIT-I                                                                                                                    [12 SESSIONS]

Structural biology and structural databases: Nucleic acid structures, RNA folding, RNA loops, conformational study. Various ribose ring conformations, Ribose-ring puckering. Protein-protein interactions, protein ligand interactions DNA-binding proteins, RNA-binding proteins. Ramachandran plot, 3-dimensional structures of membrane proteins, structural databases, protein data bank (PDB), nucleic acid data bank (NDB), molecular modeling, data bank (MMDB). secondary structure, three-dimensional structure prediction, protein folding and functional sites, protein folding classes.

UNIT-II                                                                                                                   [11 SESSIONS]

Sequence alignment (pairwise and multiple, global and local), sequence alignment algorithm (FASTA, BLAST, Needleman and Wunsch, Smith-Waterman), database similarity searches (BLAST, FASTA and PSI-BLAST), amino acid substitution matrices (PAM BLOSUM).

UNIT-III                                                                                                                 [10 SESSIONS]

Machine learning, clustering, artificial neural networks, hidden markov model, genetic algorithm, support vector machine, Information extraction from biomedical literature, protein structure prediction (Chou Fasman method): Secondary and tertiary structures, homology modelling, ORF prediction, gene prediction, microarray data analysis.

UNIT-IV                                                                                                                 [12 SESSIONS]

Basic concept of intellectual property rights, protection of human innovations by IPR such as patents, trademarks, copyright, industrial designs registrations, geographical indications, trade secrets etc. territoriality of IPR, role of WTO and WIPO, balancing rights and responsibilities, patenting in biotechnology, economic, ethical and depository considerations, develop the basic concept of intellectual property rights, protection of human innovations.


Nano Biotechnology and Biosensors

  • To introduce interdisciplinary concepts of nanotechnology in biology and medicine.
  • To develop experimental and analytical skills in nanoparticle synthesis.