BT8015 - STRUCTURAL BIOLOGY (Syllabus) 2017-regulation Anna University

BT8015 - STRUCTURAL BIOLOGY (Syllabus) 2017-regulation Anna University

BT8015

STRUCTURAL BIOLOGY

 LPTC
3003

OBJECTIVES:
To enable the students: • Gain structural knowledge on proteins. • Understand energetics and kinetics of proteins.

UNIT I

PROTEIN STRUCTURE

9
Conformational Properties of Amino Acids, Implications for Protein Structures, Hierarchies of Structure, Structural Characteristics of Globular Proteins.

UNIT II

PROTEIN THERMODYNAMICS AND ENERGETICS

9
Driving forces in protein folding - Estimation of solvation free energies: Group contribution methods - Experiments on folding thermodynamics - Two-state and multiple state transitions.


UNIT III

PROTEIN KINETICS

9
Mechanism of folding - Kinetic Intermediates - Classical kinetic modelling of protein folding/unfolding - Transition states - Effects of mutations.

UNIT IV

CONFORMATIONAL DYNAMICS AND RELATIONSHIP TO FUNCTION

9
Fluctuation-dissipation theorem - Dynamics of polymeric chains - Dynamics of folded proteins: Gaussian network model - Contribution of nonlinear effects to equilibrium dynamics.

UNIT V

COMPUTATIONAL STRUCTURAL BIOLOGY

9
Protein Models: Force fields and their derivation - The rugged energy surface: the difficulty to fold a protein - Methods for conformational search – energy and free energy as criteria of stability.

TOTAL :45 PERIODS

OUTCOMES: Upon completion of this course, students will:
• Be familiar with various mechanisms and driving forces in protein folding.
• Understand the dynamics relationship to protein function.
• Identify the computational approach in structural biology.

TEXT BOOKS:
1. Liljas L, Nissen P, Lindblom G, Textbook of Structural Biology, Volume 8 of Series in structural biology, World Scientific, 2016. 2. Schwede T, Computational Structural Biology: Methods and Applications, World Scientific, 2008.

REFERENCES:
1. Liljas A, Textbook of Structural Biology, World Scientific, 2009.
2. Petsko G, Ringe D, Protein structure and Function, Oxford University Press, 2009.
3. K.P.Murphy. Protein structure, stability and folding (2001) Humana press. ISBN 0-89603682-0
4. Arthur M.Lesk Introduction to protein architechcture (2001) Oxford University Press. ISBN 0198504748
5. A.McPherson, Introduction to Macromolecular Crystallography. 2nd edition (2009)., John Wiley Co.
6. Carl Branden and John Tooze and Carl Brandon Introduction to Protein Structure, (1999)
Previous
Next

Comments

Post a Comment

Popular posts from this blog

CS3491 Syllabus - Artificial Intelligence And Machine Learning - 2021 Regulation Anna University

CS3491 Syllabus - Artificial Intelligence And Machine Learning - 2021 Regulation Anna University CS3491 ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING  LTPC 3024 COURSE OBJECTIVES: • The main objectives of this course are to: • Study about uninformed and Heuristic search techniques. • Learn techniques for reasoning under uncertainty • Introduce Machine Learning and supervised learning algorithms • Study about ensembling and unsupervised learning algorithms • Learn the basics of deep learning using neural networks We're excited to announce the launch of our new website! Visit NameWheelSpinner.com to explore its features and benefits. UNIT I PROBLEM SOLVING 9 Introduction to AI - AI Applications - Problem solving agents – search algorithms – uninformed
Read more

CS3401 Syllabus - Algorithms - 2021 Regulation Anna University

CS3401 Syllabus - Algorithms - 2021 Regulation Anna University CS3401 ALGORITHMS  LTPC 3024 COURSE OBJECTIVES: • To understand and apply the algorithm analysis techniques on searching and sorting algorithms • To critically analyze the efficiency of graph algorithms • To understand different algorithm design techniques • To solve programming problems using state space tree • To understand the concepts behind NP Completeness, Approximation algorithms and randomized algorithms. We're excited to announce the launch of our new website! Visit NameWheelSpinner.com to explore its features and benefits. UNIT I INTRODUCTION 9 Algorithm analysis: Time and space complexity - Asymptotic Notations and its properties Best case, Worst case and average case analys
Read more

CS3492 Syllabus - Database Management Systems - 2021 Regulation Anna University

CS3492 Syllabus - Database Management Systems - 2021 Regulation Anna University CS3492 DATABASE MANAGEMENT SYSTEMS  LTPC 3003 COURSE OBJECTIVES: • To learn the fundamentals of data models, relational algebra and SQL • To represent a database system using ER diagrams and to learn normalization techniques • To understand the fundamental concepts of transaction, concurrency and recovery processing • To understand the internal storage structures using different file and indexing techniques which will help in physical DB design • To have an introductory knowledge about the Distributed databases, NOSQL and database security We're excited to announce the launch of our new website! Visit NameWheelSpinner.com to explore its features and benefits. UNIT I RELATIONAL DATABASES 10
Read more