JNTUK B.Tech Computational Molecular Biology gives you detail information of Computational Molecular Biology R13 syllabus It will be help full to understand you complete curriculum of the year.
UNIT I: INTRODUCTION TO COMPUTATIONAL MOLECULAR BIOLOGY
Introduction to active areas of research in Computational Molecular Biology, Functional Genomics, Comparative Genomics,
Dynamic Programming, Graphical representation of biochemical systems, S-systems equations, steady state analysis, Model refinements, Basics of Microarray.
LO: To understand the basics branches of computational molecular biology and importance of graphical representations.
LA: Assessment by ability to differentiate and demonstrate between functional, structural and comparative genomics.
UNIT II: GENOMICS
DNA Sequence assembly and gene identification, Homology based gene prediction, SNPs and applications. Methods of studying gene expression, EST approach.
LO: To demonstrate different aspects of gene assembly, its prediction and expression.
LA: Assessment by ability to computationally assemble, and predict the expression of the given gene.
UNIT-III: PROTEOMICS- I
Introduction to proteins. Protein identification, structure and function determination, Structure comparison methods. Prediction of secondary structure from sequence.
LO: To demonstrate the structure and folding of the protein.
LA: Assessment by identifying and predicting the structure and folding of the protein computationally.
UNIT- IV: PROTEOMICS- II
Protein homology modeling, Protein threading. Protein Ab initio structure prediction. Protein design emphasis on structural Bioinformatics.
LO: To demonstrate different methods for protein structure prediction.
LA: Assessment by ability to predict and compare structure of protein computationally.
UNIT V: TAXONOMY AND PHYLOGENY
Basic concepts in systematics, Molecular evolution, Definition and description of Phylogenetic trees and its types. Dendograms and its interpretation.
LO: To understand the basics of phylogenic analysis and tree construction
LA: Assessment by ability to construct a phylogenetic tree from the given data.
UNIT-VI: DRUG DESIGN
Drug discovery cycle, Role of Bioinformatics in Drug discovery.
LO: To understand various methods involved in drug discovery.
LA: Assessment by optimization of compounds for drug discovery.
TEXT BOOKS
- David W Mount, Bioinformatics- Sequence and genome analysis, 2nd edition, CSHL Press 2005.
- Jonathan Pevsner, Bioinformatics and Functional Genomics, 2nd edition, Wiley Blackwell Publication, 2009.
- E. O. Voit, Computational Analysis of Biochemical systems, 2nd edition, Cambridge University Press 2009.
REFERENCES
- Creighton T E, Proteins, 2nd edition, Freeman W. H, 2007.
- Journal BIOINFORMATICS (Oxford University), 2011.
- BRANDOND TOOZE – Proteomics, 1st edition, Garland publications, 1999.
For more information about all JNTU updates please stay connected to us on FB and don’t hesitate to ask any questions in the comment.