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AKTU Computational Biology (BBI303) Syllabus PDF – B.Tech 2nd Year
Computational Biology BBI303
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Official AKTU syllabus of Computational Biology (BBI303) for B.Tech 2nd Year – 3 credits, L-T-P 2-1-0. Read the unit-wise course content, course outcomes, evaluation pattern and recommended books online, or download the PDF.
Syllabus — Computational Biology
Download PDFBBI303 · 3 credits · L-T-P 2-1-0
Course Outcomes
At the end of course, the student will be able to
| CO 1 | Recall the historical contributions, scope, and basic tools (NCBI, file formats) used in bioinformatics. | K1 |
| CO 2 | Understand the structure and purpose of various biological databases and describe their applications in biological research. | K2 |
| CO 3 | Apply methods of sequence alignment using scoring matrices and interpret results from multiple sequence alignment tools. | K3 |
| CO 4 | Analyze predictive methods like gene/protein prediction, molecular visualization, and phylogenetic analysis. | K4 |
| CO5 | Explain and analyze the stages of the drug discovery pipeline including target identification, lead optimization, and chemical libraries. | K4 |
Course Content
L-T-P: 2-1-0
| Unit | Topic | Proposed Lecture |
|---|---|---|
| I | HISTORY, SCOPE AND IMPORTANCE -aims and tasks of Bioinformatics-applications of Bioinformatics - challenges and opportunities - introduction to NCBI data model- Various file formats for biological sequences | 08 |
| II | DATABASES - TOOLS AND THEIR USES: Importance of databases - Biological databases-primary sequence databases- Composite sequence databases- Secondary databases- nucleic acid sequence databases - Protein sequence data bases - structure databases - bibliographic databases | 08 |
| III | SEQUENCEALIGNMENTMETHODS: Sequence analysis of biological data-Significance of sequence alignment- pairwise sequence alignment methods-Use of scoring matrices and gap penalties in sequence alignments- multiple sequence alignment methods - Tools and application of multiple sequence alignment. | 08 |
| IV | PREDICTIVE METHODS USING DNA AND PROTEIN SEQUENCES: Gene predictions strategies - protein prediction strategies - molecular visualization tools phylogenetic analysis: Concept of trees- phylogenetic trees and multiple alignments | 08 |
| V | DRUG DISCOVERY PROCESS: Discovering a drug-target identification and validation-identifying the lead compound- optimization of lead compound-chemical libraries. | 08 |
Text Book (s)
- S.C. Rastogi & others, “Bioinformatics- Concepts, Skills, and Applications”, CBS Publishing, 2003.
- Andreas D Baxevanis & BF Francis,"Bioinformatics- Apracticalguide to analysis of Genes & Proteins",John Wiley, 2000.
- TK Attwood, DJ Parry-Smith, ”Introduction to Bioinformatics”, Pearson Education, 1stEdition, 11th Reprint 2005.
- CSV Murthy,”Bioinformatics”,Himalaya PublishingHouse,1st Edition 2003
- David W.Mount“Bioinformatics sequence andgenomeanalysis, Cold spring harbor laboratory press, 2004.
- S.Ignacimuthu ,S.J.,“Basic Bioinformatics’ ,Narosa Publishing House, 1995.
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