Computational Drug Discovery and Design

Computational Drug Discovery and Design focuses on the use of in silico methods to accelerate and refine the process of developing new therapeutics. This session covers key techniques such as molecular docking, pharmacophore modeling, QSAR, molecular dynamics simulations, and virtual screening. By integrating structural data, cheminformatics, and predictive algorithms, computational approaches help identify promising compounds, optimize leads, and reduce experimental costs. The session also explores how these tools are applied in real-world case studies to enhance decision-making in early-stage drug discovery.
In silico screening and molecular docking techniques
Structure-activity relationship (SAR) and QSAR modeling
Free energy calculations and molecular dynamics simulations

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