Post by The Insilico Lab

‎We are excited to announce the first publication from The Insilico Lab. ‎ ‎Every research journey begins with a question. Ours was simple: Can artificial intelligence help us discover better drug candidates for ovarian cancer? ‎ ‎Our latest study explores this by combining machine learning, generative AI, and molecular modelling to identify novel allosteric AKT1 inhibitor candidates for future experimental validation. ‎ Special thanks to the contributors who made this work possible: Rejoice Dunu, Moses Akinjiyan, Kehinde Idayat Oyinkansola and Temitayo Hassan. ‎ ‎As our first publication, this work marks an important milestone for The Insilico Lab and the beginning of many more contributions to computational biology, medicinal chemistry, and AI-driven drug discovery. ‎ ‎Read the full publication here :https://lnkd.in/eFwDrncx ‎ ‎#TheInsilicoLab #Research #OvarianCancer #MachineLearning #DrugDiscovery #ArtificialIntelligence #ComputationalChemistry #ComputationalBiology ‎ ‎ ‎