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Live Industrial Program

Advanced Drug Designing: Traditional and In Silico

Designing Tomorrow’s Therapeutics Today

MODE
Online/ e-LMS
TYPE
Mentor Based
LEVEL
Advanced
DURATION
1 Month

About

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.

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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.

Program Structure

  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.

Program Outcomes

  1. Gain comprehensive knowledge of both traditional and computational drug design methods.
  2. Develop expertise in molecular docking, pharmacophore modeling, and QSAR analysis.
  3. Acquire hands-on experience with drug synthesis, optimization, and ADME-Tox assessments.
  4. Be adept at using cutting-edge software and tools for in silico drug design.
  5. Enhance problem-solving skills applicable to real-world drug development challenges.
  6. Be prepared for advanced roles in pharmaceutical and biotechnology sectors.

Fee Structure

Standard Fee:           INR 29,998           USD 640

Discounted Fee:       INR 14999             USD 320

We are excited to announce that we now accept payments in over 20 global currencies, in addition to USD. Check out our list to see if your preferred currency is supported. Enjoy the convenience and flexibility of paying in your local currency!

List of Currencies

FOR QUERIES, FEEDBACK OR ASSISTANCE

Key Takeaways

  • Access to e-LMS
  • Real Time Project for Dissertation
  • Project Guidance
  • Paper Publication Opportunity
  • Self Assessment
  • Final Examination
  • e-Certification
  • e-Marksheet

Future Career Prospects

  • Medicinal Chemist
  • Computational Chemist/Modeler
  • Bioinformatics Scientist
  • Pharmaceutical Research Scientist
  • Drug Discovery Project Manager
  • Academic Researcher
  • Pharmaceutical Regulatory Affairs Specialist
  • Biotechnology Entrepreneur

Job Opportunities

  • Drug Designer
  • Pharmaceutical Research Scientist
  • Medicinal Chemist
  • Clinical Research Manager

Enter the Hall of Fame!

Take your research to the next level!

Publication Opportunity
Potentially earn a place in our coveted Hall of Fame.

Centre of Excellence
Join the esteemed Centre of Excellence.

Networking and Learning
Network with industry leaders, access ongoing learning opportunities.

Hall of Fame
Get your groundbreaking work considered for publication in a prestigious Open Access Journal (worth ₹20,000/USD 1,000).

Achieve excellence and solidify your reputation among the elite!


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Recent Feedbacks In Other Workshops

Predicting 3D Structures of Proteins and Nucleic Acids

It was a little fast paced.


Claudia Fischer : 2025-05-21 at 7:40 pm

In Silico Molecular Modeling and Docking in Drug Development

Keep it up. Thanks.


Anwar Ahmed : 2025-05-21 at 4:06 pm

Predicting 3D Structures of Proteins and Nucleic Acids

Good workshop, talked through a bit quickly but ok


Shari Heller : 2025-05-21 at 3:37 pm

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