In this webinar, hosted by DDW and supported by Sapio Sciences, join Dr Rajesh Kumar, Senior Director of Structural Biology at Schrödinger, as he explores how advanced computational methods, AI, and machine learning are revolutionising drug discovery. Dr Kumar highlights how Schrödinger’s physics-based simulations and Free Energy Perturbation (FEP) technology can evaluate billions of compounds in a week, dramatically reducing the time and cost of research compared to traditional high-throughput screening.

Dr Kumar will be joined by Rob Brown, who will showcase the capabilities of Sapio Sciences’ AI-powered Electronic Lab Notebook (ELN). Sapio ELN isn’t just AI-ready but ready with AI, delivering tangible results that enhance data capture, streamline lab workflows, and drive immediate value in research operations.

The session also explores Schrödinger’s digital transformation with Sapio ELN, achieving over 90% user compliance through barcode-based sample tracking, consumables management, and integration with Schrödinger’s enterprise platform, LiveDesign. 

Together, Dr Kumar and Rob Brown reveal how the fusion of AI, advanced modelling, and digital workflows is reshaping pharmaceutical R&D.

This webinar is a must for R&D teams seeking practical insights on how AI and digital labs accelerate discovery.

What you will learn:

• How Schrödinger uses physics-based simulations and Free Energy Perturbation (FEP) to evaluate billions of compounds in record time, significantly reducing discovery cycles.
• How Sapio’s AI-powered ELN capabilities deliver immediate impact through smarter data capture, workflow automation, and improved compliance.
• How integrating computational models, experimental validation, and digital lab systems like LiveDesign creates a seamless, data-driven pipeline for faster and more accurate drug discovery.