Master QSAR Modeling in 4 weeks through hands-on, project-based online training with DSTC.
The Unveiling the Power of QSAR: Pioneering Trends in Computer-Aided Drug Design program is a comprehensive educational event designed to immerse participants in the world of Quantitative Structure-Activity Relationship (QSAR) modeling and its contemporary applications in Computer-Aided Drug Design (CADD). Every participant receives a verified e-Certificate and e-Marksheet from the Deep Science & Technology Consortium.
The Unveiling the Power of QSAR: Pioneering Trends in Computer-Aided Drug Design program is a comprehensive educational event designed to immerse participants in the world of Quantitative Structure-Activity Relationship (QSAR) modeling and its contemporary applications in Computer-Aided Drug Design (CADD).
1. Translate biotechnology theory into practical, reproducible analysis.
2. Build a defensible project you can showcase to supervisors, reviewers, or employers.
β’ Master's and senior undergraduate students specializing in biotechnology
β’ R&D engineers and working professionals applying biotechnology in industry
β’ Academics and educators building research or teaching capacity in biotechnology
β’ A demonstrable biotechnology project for your research or industry portfolio.
β’ A verified e-Certificate of competency and e-Marksheet from the Deep Science & Technology Consortium.
Explore Computer-Aided Drug Design fundamentals β’ Understand molecular simulation principles β’ Apply force field concepts for energy minimization
Navigate the drug development pipeline β’ Identify technology impacts in drug discovery β’ Implement CADD strategies across development phases
Establish QSAR fundamentals and principles β’ Outline critical steps in QSAR methodology β’ Recognize QSAR importance in CADD workflow
Analyze QSAR datasets effectively β’ Evaluate potential drug properties through modeling β’ Develop pharmacophore models for drug design
Master Minitab software for QSAR modeling β’ Apply multiple linear regression techniques β’ Utilize PRESS, SSY and Leave-one-out validation
Validate models using correlation coefficients β’ Implement QSAR in pharmaceutical development β’ Apply QSAR to real-world drug discovery scenarios
| Parameter | Requirement |
|---|---|
| Covered Tool / Platform | Minitab |
| Covered Tool / Platform | QSAR software |
| Covered Tool / Platform | CADD platforms |
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