Next generation synthesis planning using AI for chemists

Presented by

Mandar Bodas, Abhinav Kumar, Juergen Swienty-Busch

About this talk

Rapid navigation of increasingly complex druggable chemical space is critical for innovative drug design. However, chemical synthesis and route design is still a significant challenge. In this session, we will discuss recent development in predictive retrosynthesis. Also, we explore how Reaxys collaborated with Pending.AI, a startup led by Prof. Mark Waller, to develop a ‘deep learning’ solution that predicts new synthesis routes with high accuracy for creating small organic compounds. The presentation will focus on: 1. Science behind AI powered predictive retrosynthesis 2. Reaxys predictive retrosynthesis overview and demo 3. Discussion on benefits, limitation of technology and future roadmap Speaker bios: Mandar Bodas, Solution Sales Manager - Life Sciences, Elsevier (https://www.linkedin.com/in/mandar-bodas-b360314/) Abhinav Kumar, Head of Strategy and Business Development - Chemistry Solutions, Elsevier (https://www.linkedin.com/in/abhinavkumar8/) Juergen Swienty-Busch, Director of Product Management - Chemistry Solutions, Elsevier (https://www.linkedin.com/in/jsb2018/)

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