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Advanced Drug Designing: Traditional and In Silico

Designing Tomorrow’s Therapeutics Today

MODE
Mode(Online) TYPE
Mentor Based LEVEL
Advanced

Skills you will gain:

Data analysisCommunication

Drug Designing: Traditional and In Silico program offer a comprehensive exploration of the multifaceted process of drug discovery and development. These program blend traditional methods of drug design, involving chemical synthesis and experimental testing, with state-of-the-art computational approaches. Students delve into fundamental concepts of medicinal chemistry, pharmacology, and molecular biology, gaining insight into the principles governing drug-target interactions and structure-activity relationships. Moreover, the courses provide practical training in computational drug design techniques such as molecular docking, pharmacophore modeling, and quantitative structure-activity relationship (QSAR) analysis. Through a combination of theoretical learning and hands-on experience, students develop the skills necessary to design and optimize novel pharmaceutical agents, bridging the gap between traditional laboratory experimentation and cutting-edge computational modeling in drug discovery. This interdisciplinary approach equips graduates with the expertise needed to contribute to the development of new drugs and therapeutic strategies in the pharmaceutical and biotechnology industries.

Aim: The aim of “Drug Designing: Traditional and In Silico” is to equip students with the knowledge and skills to integrate traditional medicinal chemistry methods with advanced computational techniques for the discovery and optimization of novel pharmaceutical agents. By understanding the principles underlying both approaches, students are prepared to contribute to the development of innovative therapies, addressing unmet medical needs and advancing drug discovery efforts.

Program Objectives:

  • Provide a comprehensive understanding of traditional medicinal chemistry methods used in drug discovery.
  • Introduce students to advanced computational techniques for in silico drug design and screening.
  • Explore the principles of molecular docking, pharmacophore modeling, and quantitative structure-activity relationship (QSAR) analysis.
  • Familiarize students with the process of target identification and validation in drug discovery.
  • Develop practical skills in designing, synthesizing, and optimizing lead compounds using both traditional and computational approaches.
  • Equip students with the ability to assess the pharmacokinetic and toxicity profiles of potential drug candidates through virtual ADME-Tox assessment.
  • Foster critical thinking and problem-solving skills in evaluating and prioritizing lead compounds for further preclinical and clinical development.
  • Encourage interdisciplinary collaboration and communication among students from diverse backgrounds in pharmaceutical sciences, chemistry, and computational biology.
  • Provide insights into ethical considerations and regulatory requirements governing drug discovery and development processes.
  • Prepare students for careers in pharmaceutical research, biotechnology, and healthcare innovation by bridging the gap between theory and practical application in drug design.

What you will learn?

  1. Introduction of Drug Designing
  2. Methods: Traditional and In Silico
  3. Computer-Aided Drug Designing and its types
  4. Applications and its Modern Aspects
  5. Project Report Submission/ Article Writing

Intended For :

Pharmaceutical scientists, biotechnology professionals, academic researchers and students, healthcare professionals, IT and data science professionals in the domains of drug design, pharmacology, biotechnology, and computational biology.

Career Supporting Skills

Pharmacokinetic Analysis Molecular Modelling and Simulation Cheminformatics Drug Metabolism Predictions Bioinformatics Statistical Analysis and Data Interpretation

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