Drug Design using Biovia Discovery Studio

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Computer-Aided drug design accelerates and economizes drug discovery and drug manufacturing processes; it an effective strategy. With the significant rise in the availability of information on small molecule and biological macromolecule, the efficiency of computer-aided drug discovery has been enhanced. It is being extensively applied to almost every phase in drug discovery and manufacturing activities, such as detecting targets, validation, lead discovery, and optimization & preclinical tests.

Code(Credit) : CUTM3122 (0-3-1)

Scheme Skill for Success (SFS)
NSQF Level 3
Duration 4 Months
Sector Skill Council for Green Jobs (SCGJ)
Entry Qualification B.Pharm./B. Tech/Applied Science/ Agriculture
Minimum Age 20 Years
Aligned to (QP) 190410055749.pdf (lsssdc.in)

Course Objectives:

After completing the course the students will

  • Be able to use several modules of Biovia Material studio
  • Be able to develop the structure of a nano, bulk, polymer and composite
  • Be able to calculate several properties of materials
  • Can join the industry as Laboratory Assistant/Technician and will progress further as Research Assistant then to Scientist and can reach up to Research and Development manager.
  • Can become an entrepreneur in the related field.
  • Can do Diploma or any Advance program in the same.

Learning Record:

The trainee will submit a Practice/Project/Learning record after each class/session.

Assessment Process:

  • The assessment agencies should have an expert to conduct an assessment NOS wise, and every trainee should score a minimum of 70% in the overall assessment.
  • The assessment of the theory/knowledge will be based on a written test/viva-voce or both, while the skill test shall be hands-on practical.

Learning Outcomes:

Course Syllabus/Contents:

List of Projects/Products/Publications :

Reference Book :

Session Plan:

Industry Partnership :

Design Flow :

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Our Main Teachers

A Avinash

Asst Professor

A.Avinash working as Assistant Professor, Dept of CSE, Centurion University of Technology and Management, Andhra Pradesh . Interested to work on Machine learning,Natural Language Processing,Problem Solving Methodologies , and ChatBot. Programming Skill: C Programming Data Structure Object Oriented Programming using C++ Formal Language Automata Theory Python Web Development(HTML,CSS,PHP) Database Management Systems Compilers