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.
Drug Design using Biovia Discovery Studio
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Code(Credit) : CUTM3122 (0-3-1)
| Scheme | Skill for Success (SFS) |
| NSQF Level | 3 |
| Duration | 4 Months |
| Sector | Skill Council for Green Jobs (SCGJ) |
| Occupations | RESEARCH AND DEVELOPMENT |
| 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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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
