Bioinformatics-II detail syllabus for Biotechnology (Biotech), 2019-20 scheme is taken from AKTU official website and presented for AKTU students. The course code (RBT603), and for exam duration, Teaching Hr/Week, Practical Hr/Week, Total Marks, internal marks, theory marks, duration, and credits do visit complete sem subjects post given below.
For all other biotech 6th sem syllabus for b.tech 2019-20 scheme aktu you can visit Biotech 6th Sem syllabus for B.Tech 2019-20 Scheme AKTU Subjects. The detail syllabus for bioinformatics-ii is as follows.
Unit I
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Unit II
Basics of RNA Structure prediction and its limitations, Features of RNA Secondary Structure, RNA structure prediction methods: Based on self-complementary regions in RNA sequence, Minimum free energy methods, Suboptimal structure prediction by MFOLD, Prediction based on finding most probable structure and Sequence co-variance method. Application of RNA structure modeling.
Unit III
Machine learning: Decision tree induction, Artificial Neural Networks, Hidden Markov Models, Genetic Algorithms, Simulated Annealing, Support vector machines; The relation between statistics and machine learning; Evaluation of prediction methods: Parametric and Nonparametric tests, cross-validation and empirical significance testing (empirical cycle), Clustering (Hierarchical and K-mean).
Unit IV
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Unit V
Overview of key techniques for the management of large document collections and the biological literature: Document clustering, Information retrieval system; Natural Language Processing: Introduction, Major areas of NLP, Natural language information extraction; Insilico Drug Designing: Major steps in Drug Designing, Ligand and Structure based drug designing, Protein-ligand docking, QSAR Modeling, Pharmacodynamics (Efficacy & Potency) & Pharmacokinetics (ADME), Lipinski’s rule of five, Pharmacogenomics.
Text Books:
- Computational Methods in Biotechnology – Salzberg S. L. et al., Elsevier Science.
- D.W.Mount; Bioinformatics- Sequence and genome analysis; Cold Spring Harbour Labpress.
- Statistical Methods in Bioinformatics-Evens & Grants, Springer-Verlag, NY.
- Computational Molecular Biology- Setubal and Meidanis, PWS publishing Co., 1997. 18/ 24
- Protein Structure Prediction-A Practical Approach, MJE Sternberg, Oxford University Press.
- Purifing Protein for Protemics, Richard J. Sinpson, I.K. International Pvt. Ltd.
For detail syllabus of all other subjects of B.Tech Biotech, 2019-20 scheme do visit Biotech 6th Sem syllabus for 2019-20 scheme.
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