Biotech

BTE8044: Advanced Bioinformatics Syllabus for BT 8th Sem 2019 Pattern Mumbai University (Elective-4)

Advanced Bioinformatics detailed syllabus scheme for Biotechnology (BT), 2019 regulation has been taken from the MU official website and presented for the Bachelor of Engineering students. For Course Code, Course Title, Test 1, Test 2, Avg, End Sem Exam, Team Work, Practical, Oral, Total, and other information, do visit full semester subjects post given below.

For 8th Sem Scheme of Biotechnology (BT), 2019 Pattern, do visit BT 8th Sem Scheme, 2019 Pattern. For the Elective-4 scheme of 8th Sem 2019 regulation, refer to BT 8th Sem Elective-4 Scheme 2019 Pattern. The detail syllabus for advanced bioinformatics is as follows.

Advanced Bioinformatics Syllabus for Biotechnology BE 8th Sem 2019 Pattern Mumbai University

Advanced Bioinformatics

Prerequisites:

For the complete Syllabus, results, class timetable, and many other features kindly download the iStudy App
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Course Objectives:

  • Study the development and implementation of tools that enables to efficiently access and manage various types of information.
  • Study the development of new algorithms (mathematical formulas) and statistics used to assess relationships among members of large data sets. For example, methods to locate a gene within a sequence, predict protein structure and/or function, and cluster protein sequences into families of related sequences.
  • The primary goal of bioinformatics is to increase the understanding of biological processes. What sets it apart from other approaches, however, is its focus on developing and applying computationally intensive techniques to achieve this goal.
  • Help have a better knowledge of pharmaceutical biology & its relation with information technology.

Course Outcomes:

By learning this course the students will be able to:

  • Describe the contents and properties of the most important bio informatical databases, perform text-and sequence-based searches, and analyse and discuss the results in light of molecular biological knowledge
  • Explain the major steps in pair wise and multiple sequence alignment, explain the principle for, and execute pair wise sequence alignment by dynamic programming
  • Explain the major features of evolution of genes and proteins and explain how different methods can be used to construct phylogenetic trees.
  • Explainthemajorfeaturesofmethodsformodellingproteinstructuresanduseprogr amsfor visualizing and analysing such structures.
  • Give examples of methods for describing and analysing genes, genomes and gene expression
  • To solve any biological sequence analysis problem, with choosing & modifying suitable computational model to solve it.

Module 1

Introduction to concepts of molecular modelling Methods of molecular modelling: Molecular mechanics, Abinitio Quantum mechanics, Semi empirical quantum mechanics. Energy minimization of molecules: local & global energy minima. 10

Module 2

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Module 3

Drug discovery, Markov chains, Hidden markov models. 06

Module 4

Drug designing: Drug optimization, Identification of pharmacophore, Optimizing access to target, Prodrugs, Endogenous compounds as drugs, Quantitative structure- activity relationship (QSAR). 05

Module 5

Docking: Introduction, Protein protein docking, Protein Ligand docking, Applications of docking. 06

Term work

For the complete Syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdf platform to make students’s lives easier.
Get it on Google Play.

Assessment

Internal

  • Assessment consists of two tests which should be conducted at proper intervals.

End Semester theory examination

  • Question paper will comprise of 6 questions each carrying 20 questions.
  • Total 4 questions need to be solved
  • Question no.1 will be compulsory based on entire syllabus wherein sub questions can be asked.
  • Remaining questions will be randomly selected from all the modules
  • Weightage of marks should be proportional to number of hours assigned to each module

Reference Books:

  1. Cynthia Gibas & Per Jambeck, Developing Bioinformatics computer skills, third edition.
  2. S.C. Rastogi, Bioinformatics concepts, skills & applications, first edition.
  3. Dov Stekel, Microarray Bioinformatics.
  4. David W. Mount, Bioinformatics sequence and genome analysis.
  5. N.Claude Cohen, Molecular modeling in drug design.
  6. Oreilly, Developing bioinformatics computer skills, Shroff publishers, 1st Indian edition.
  7. Medicinal Chemistry by Graham L. Patrick, Oxford University Press

For detail Syllabus of all subjects of Biotechnology (BT) 8th Sem 2019 regulation, visit BT 8th Sem Subjects of 2019 Pattern.

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