University of Mumbai Syllabus For Semester 6 (TE Third Year) Bioinformatics 2: Knowing the Syllabus is very important for the students of Semester 6 (TE Third Year). Shaalaa has also provided a list of topics that every student needs to understand.
The University of Mumbai Semester 6 (TE Third Year) Bioinformatics 2 syllabus for the academic year 2021-2022 is based on the Board's guidelines. Students should read the Semester 6 (TE Third Year) Bioinformatics 2 Syllabus to learn about the subject's subjects and subtopics.
Students will discover the unit names, chapters under each unit, and subtopics under each chapter in the University of Mumbai Semester 6 (TE Third Year) Bioinformatics 2 Syllabus pdf 2021-2022. They will also receive a complete practical syllabus for Semester 6 (TE Third Year) Bioinformatics 2 in addition to this.
University of Mumbai Semester 6 (TE Third Year) Bioinformatics 2 Revised Syllabus
University of Mumbai Semester 6 (TE Third Year) Bioinformatics 2 and their Unit wise marks distribution
University of Mumbai Semester 6 (TE Third Year) Bioinformatics 2 Course Structure 2021-2022 With Marking Scheme
| # | Unit/Topic | Marks |
|---|---|---|
| 100 | Introduction to Concepts of Molecular Modelling | |
| 200 | Interactions | |
| 300 | Overview, Interoperability and Interexchange Languages | |
| 400 | Drug Designing | |
| 500 | Docking | |
| Total | - |
Syllabus
- Methods of molecular modelling:- Molecular mechanics, Abinitio Quantum mechanics, Semi empirical quantum mechanics
- Energy minimization of molecules: local & global energy minima.
- Protein ligand interactions
- Torsion angle
- Ramchandran plot
- Protein folding & Chaperones
- Cartesian coordidates
- Overview: Machine learning, Genetic algorithms, Simulated annealing.
- Interoperability: Introduction, Its role in bioinformatics.
- Interexchange Languages: XML, CORBA, And UMLS. Clustering algorithms.
- Drug optimization
- Identification of pharmacophore
- Optimizing access to target
- Prodrugs
- Endogenous compounds as drugs
- Quantitative structure- activity relationship (QSAR)
- Introduction
- Protein protein docking
- Protein Ligand docking
- Applications of docking
