Bioinformatics

Paper Code: 
24BTE223
Credits: 
02
Contact Hours: 
30
Objective: 

The objectives of this course are to provide theory and practical experience of the use of common computational tools and databases which facilitate investigation of molecular biology and evolution-related concepts.

 

Course Outcomes: 

Course Outcomes (COs):

Course

Course Outcomes

Learning and teaching strategies

Assessment Strategies

Course Code

Course Title

24BTE223

Bioinformatics

(Theory)

CO73: Develop an understanding of basic concepts of computational tools & publicly available sources

CO74: Apply the computational tools for DNA sequence analysis and database searching.

CO75: Appreciate their relevance for investigating specific contemporary biological applications and evaluate various multiple sequence analysis techniques

CO76: Critically analyze and interpret protein modelling techniques

CO77: Utilize the bioinformatic tools for Protein

structure prediction and using virtual library

CO78: Contribute effectively in course-specific interaction

Approach in teaching:

Interactive Lectures,

Demonstrations, Power point presentations

 

Learning activities for the students: Discussion,

Tutorials,

Assignments

Reading journals

Class test, Semester end examinations, Quiz, Solving problems in tutorials, Assignments, Presentation, Individual and group projects

 

5.00
Unit I: 
Bioinformatics basics

Bioinformatics basics: Computers in biology and medicine; Introduction to Unix and Linux systems and basic commands; Database concepts; Protein and nucleic acid databases; Structural databases; Biological XML DTD’s; pattern matching algorithm basics; databases and search tools: biological background for sequence analysis;

      Identification of protein sequence from DNA sequence; searching of databases similar sequence; NCBI; publicly available tools; resources at EBI; resources on web; database mining tools.

 

5.00
Unit II: 
DNA Sequence Analysis

DNA sequence analysis: gene bank sequence database; submitting DNA sequences to databases and database searching; sequence alignment; pairwise alignment techniques; motif discovery and gene prediction; local structural variants of DNA, their relevance in molecular level processes, and their identification; assembly of data from genome sequencing

     

 

6.00
Unit III: 
Multiple Sequence Analysis

Multiple sequence analysis; multiple sequence alignment; flexible sequence similarity searching with the FASTA3 program package; use of CLUSTALW and CLUSTALX for multiple sequence alignment; submitting DNA protein sequence to databases: where and how to submit, SEQUIN, genome centres; submitting aligned sets of sequences, updating submitted sequences, methods of phylogenetic analysis.

 

7.00
Unit IV: 
Protein Modelling

Protein modelling: introduction; force field methods; energy, buried and exposed residues; side chains and neighbours; fixed regions; hydrogen bonds; mapping properties onto surfaces; fitting monomers; RMS fit of conformers; assigning secondary structures; sequence alignment- methods, evaluation, scoring; protein completion: backbone construction and side chain addition; small peptide methodology; software accessibility; building peptides; protein displays; substructure manipulations, annealing.

 

7.00
Unit V: 
Protein structure prediction and virtual library

Protein structure prediction: protein folding and model generation; secondary structure prediction; analyzing secondary structures; protein loop searching; loop generating methods; homology modelling: potential applications, description, methodology, homologous sequence identification; align structures, align model sequence; construction of variable and conserved regions; threading techniques; topology fingerprint approach for prediction; evaluation of alternate models; structure prediction on a mystery sequence; structure aided sequence techniques of structure prediction; structural profiles, alignment algorithms, mutation tables, prediction, validation, sequence based methods of structure prediction, prediction using inverse folding, fold prediction; significance analysis, scoring techniques, sequence-sequence scoring; protein function prediction; elements of in silico drug design;Virtual library: Searching PubMed, current content, science citation index and current awareness services, electronic journals, grants and funding information

 

ESSENTIAL READINGS: 
  • Lesk, A. M. (2002). Introduction to Bioinformatics. Oxford: Oxford University Press.
  • Mount, D. W. (2001). Bioinformatics: Sequence and Genome Analysis. Cold Spring Harbor, NY: Cold Spring Harbor Laboratory Press.
  • Baxevanis, A. D., & Ouellette, B. F. (2001). Bioinformatics: a Practical Guide to the Analysis of Genes and Proteins. New York: Wiley-Interscience.

 

REFERENCES: 
  • Pevsner, J. (2015). Bioinformatics and Functional Genomics. Hoboken, NJ.: Wiley-Blackwell.
  • Bourne, P. E., & Gu, J. (2009). Structural Bioinformatics. Hoboken, NJ: Wiley-Liss.
  • Lesk, A. M. (2004). Introduction to Protein Science: Architecture, Function, and Genomics. Oxford: Oxford University Press.

 

 

Academic Year: