Our research paper on "Overcoming DMTA Cycle Challenges: A Unified AI-Driven System for Efficient Drug Design" has been published by ChemRxiv. This article outlines our vision and efforts towards the development of a unified system in which AI, ML, computational chemistry, organic chemistry, biology and human expertise converge to drive innovation in drug discovery.
Read the full publication here.
