COURSE ID: ASTL-AB
Course Length : Regular - 90 Days, Fastrack- 45 Days
Course Start : For Details Call +91 9247716307,
Limited seats per batch
Course Location : Hyderabad, India
Eligibility : Any Bachelor Degree in Science
Contact Us : Call +91 9247716307
 

BIOINFORMATICS TRAINING COURSE DETAILS

Molecular Modelling & Drug Designing ( Regular - 90 Days, Fastrack- 45 Days )
 
COURSE LENGHT COURSE START COURSE LOCATION CONTACT US
3-6 Months Training For Details Call +91 9247716307
Limited seats per batch
Hyderabad, India For Details Call +91 9247716307
E-Mail: hr@asteracelabs.com
 

Syllabus

 
Basic concepts of molecular modeling and principles of computer-aided drug design  
Molecular mechanics: energy terms, parametrization,
energy minimization
conformational analysis
Quantum Mechanics
protein structure predictions
Molecular dynamic simulations: principle and application
Newton’s equations of motion, ensembles, trajectory
simulated annealing, periodic boundary conditions
Solvent effects­
Molecular docking
Active site and ligand representations
ligand-protein interactions
Protein-protein interactions
scoring functions
virtual screening
Chemical databases
protein sequence databases
Quantitative structure-reactivity relationship (QSAR)
3D-QSAR,
de novo ligand design
pharmacophore mapping
ADMET

TEXT & READINGS

(1) Molecular Modeling: Principles and Applications, 2nd Edition, by Andrew R. Leach, Harlow, England, Pearson Education, 2001.
(2) Computational Drug Design: A Guide for Computational and Medicinal Chemists, by David C. Young, John Wiley & Sons, Hoboken, N.J., 2009.
(3) Essentials of Computational Chemistry: Theories and Models, 2nd Edition, by Christopher J Cramer, Chichester, John Wiley & Son, 2004.
(4) Practical Application of Computer-Aided Drug Design, by Paul S. Charifson, New York, Marcel Dekker, 1997.
(5) Guidebook on Molecular Modeling in Drug Design, by Nicholas Claude Cohen, San Diego, Calif., Academic Press, 1996.
(6) Molecular Modelling: Computational Chemistry Demystified, by Peter Bladon, Cambridge, RSC Publishing, 2012.

 

Overview

 
The Course aims to help Trainees think about

(i) their current understanding and level of expertise using bioinformatics tools in general

(ii) specific areas of bioinformatics in which their research may benefit from adjusting and/or developing their understanding.

Additionally, it aims to help them identify key, general, transferable competencies they may already have using bioinformatics tools, and to introduce them to some of the competencies that they may not be aware of as important. Finally, in the context of a demonstration and an exercise carrying out bioinformatics task that links together many different web resources, it aims to give them insight into the approaches typically employed by more experienced bioinformaticians, hopefully also highlighting examples in which the previously-introduced competencies are exploited.

As contemporary biologists we have entered an age where the use of computers in our daily work has become all but essential. The manipulation and analysis of DNA and protein data by electronic means has become a routine task. Further, the amount of DNA and protein sequence data we are putting into databases every day is expanding at a geometric rate, and with coming advances in sequencing technology this rate is only expected to increase. With all this new data, analysis by individual humans is simply not possible.

Thus, in the past 15 years, computational biology has emerged as a field concerned with storage, manipulation, and extraction of valuable information from all this new data.
However, because computational biology is an emerging field, organized courses are generally saved for higher-level study, and often are not required parts of an undergraduate curriculum.

We seek to fill this void in education, and create a course that will introduce students to bioinformatics at an earlier point in their education. This knowledge will prove to be not simply useful, but essential, for any student considering a degree in any area of biology.
 

Online Training


Our course, Bioinformatics Consists, consists of two major parts:


1) Studying the reading material and completing a number of small assignments.

2) Completing a small research project which includes searching biological data and using sequence analysis methods.

Both parts are expected to take approximately one week of full-time work, which You may disperse over a period of eight weeks as it fits with other obligations of yours. There is a real person, a net tutor, to help you thoughout the course. The following diagram illustrates some of the interactions between yourself and the tutor during the course and gives you an idea how you proceed in the course.

Additionally, it aims to help them identify key, general, transferable competencies they may already have using bioinformatics tools, and to introduce them to some of the competencies that they may not be aware of as important.

Finally, in the context of a demonstration and an exercise carrying out bioinformatics task that links together many different web resources, it aims to give them insight into the approaches typically employed by more experienced bioinformaticians, hopefully also highlighting examples in which the previously-introduced competencies are exploited.
 

Course Goal


 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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