From Data to Drug : A Practical Journey in Computer Aided Drug Design & Optimization

In the modern pharmaceutical landscape, transitioning from raw biological data to a viable therapeutic molecule requires advanced structural computational techniques. This practical, career-oriented webinar presented by Dr. Omics Labs bridges the gap between traditional pharmacology and digital health innovation. Participants will embark on a comprehensive journey exploring Computer-Aided Drug Design (CADD) workflows used to streamline target identification and lead compound optimization. The training session focuses heavily on removing bottleneck constraints during virtual screening, molecular docking, and pharmacophore modeling experiments. By integrating AI models and machine learning algorithms, learners will understand how to accurately predict ADMET properties and binding affinities. This computational biology approach drastically reduces the time and astronomical costs associated with early-stage wet-lab chemistry discovery. Ultimately, this masterclass provides actionable insights for life science professionals looking to excel in the lucrative data-driven drug discovery market.