Advanced Drug Designing: Traditional and In Silico
Designing Tomorrow’s Therapeutics Today
About This Course
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.
Program Structure
- Introduction of Drug Designing
- Methods: Traditional and In Silico
- Computer-Aided Drug Designing and its types
- Applications and its Modern Aspects
- Project Report Submission/ Article Writing
Who Should Enrol?
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
- Gain comprehensive knowledge of both traditional and computational drug design methods.
- Develop expertise in molecular docking, pharmacophore modeling, and QSAR analysis.
- Acquire hands-on experience with drug synthesis, optimization, and ADME-Tox assessments.
- Be adept at using cutting-edge software and tools for in silico drug design.
- Enhance problem-solving skills applicable to real-world drug development challenges.
- Be prepared for advanced roles in pharmaceutical and biotechnology sectors.
Fee Structure
Standard: ₹29,998 | $640
Discounted: ₹14999 | $320
We accept 20+ global currencies. View list →
Frequently asked questions
Will I get the recording?
Yes. Paid participants get the session recordings and study material in their NanoSchool dashboard (My registrations → Recorded Lectures / Study Material).
What if I miss a live session?
Watch the recording in your dashboard and send your questions to the mentor through the support desk.
Do I get a certificate?
Yes, an e-certificate of participation after the workshop, with a QR code anyone can verify and an "Add to LinkedIn" button.
Which fee category applies to me?
Choose the category that matches your current role: Student, Ph.D. Scholar / Researcher, Academician / Faculty or Industry Professional.
How can I pay?
By card, UPI or PayPal on the payment page; international bank transfer is also available there.
What is the refund policy?
See our Returns, Refunds & Cancellation policy: Returns, Refunds & Cancellation policy
Registration open
More upcoming workshops
Live, mentor-led and certified. Dates and times in IST.
Mitochondrial Genomics & Disease: mtDNA Variant Analysis and Precision Medicine
- Dates
- 10–12 Nov 2026
- Time
- 5:30 PM IST
- Duration
- 3 Days
- Level
- Moderate
- Student₹2,499
- Ph.D. Scholar / Researcher₹3,499
- Academician / Faculty₹4,999
- Industry Professional₹5,999
AI-Powered Metabolomics & Precision Medicine: Disease Biomarker Discovery, Multi-Omics Analysis & Machine Learning
- Dates
- 12–14 Nov 2026
- Time
- 5:30 PM IST
- Duration
- 3 Days
- Level
- Moderate
- Student₹2,299
- Ph.D. Scholar / Researcher₹3,399
- Academician / Faculty₹4,499
- Industry Professional₹5,999
Hands-On miRNA & lncRNA Bioinformatics: Target Prediction, Disease Networks & Biomarker Discovery
- Dates
- 12–14 Nov 2026
- Time
- 5:30 PM IST
- Duration
- 3 Days
- Level
- Moderate
- Student₹2,499
- Ph.D. Scholar / Researcher₹3,499
- Academician / Faculty₹4,999
- Industry Professional₹6,299
Computational Biology, Systems Biology and Biomarker Discovery: Practical Applications in Disease Research and Nanomedicine
with Abhimanyu
- Dates
- 12–14 Nov 2026
- Time
- 5:30 PM IST
- Duration
- 3 Days
- Level
- Moderate
- Student₹2,199
- Ph.D. Scholar / Researcher₹3,199
- Academician / Faculty₹4,499
- Industry Professional₹5,999
Gut Microbiome Multi-Omics: Shotgun Metagenomics, Metabolomics & Precision Probiotics
- Dates
- 12–14 Nov 2026
- Time
- 5:00 PM IST
- Duration
- 3 Days
- Level
- Advanced
- Student₹2,499
- Ph.D. Scholar / Researcher₹3,499
- Academician / Faculty₹4,499
- Industry Professional₹6,499
Next-Generation Microbiome Therapeutics: AI, NGS & Python-Based Analysis
- Dates
- 12–15 Nov 2026
- Time
- 5:00 PM IST
- Duration
- 4 Days
- Level
- Moderate
- Student₹2,499
- Ph.D. Scholar / Researcher₹3,499
- Academician / Faculty₹4,499
- Industry Professional₹6,499






