Transformer Based Machine Translation News Today : Breaking News, Live Updates & Top Stories | Vimarsana

<p>Inspired by ChatGPT&rsquo;s popularity and wondering if this approach could speed up the drug design process, scientists in the&nbsp;<a href="https://www.chapman.edu/scst/index.aspx">Schmid College of Science and Technology</a>&nbsp;at Chapman University in Orange, California, decided to create their own genAI model, detailed in the new paper, &ldquo;De Novo Drug Design using Transformer-based Machine Translation and Reinforcement Learning of Adaptive Monte-Carlo Tree Search,&rdquo; to be published in the journal&nbsp;<em>Pharmaceuticals</em>. Dony Ang, Cyril Rakovski, and Hagop Atamian coded a model to learn a massive dataset of known chemicals, how they bind to target proteins, and the rules and syntax of chemical structure and properties writ large.&nbsp;</p> <p>The end result can generate countless unique molecular structures that follow essential chemical and biological constraints and effectively

Chapman universityUnited statesCyril rakovskiDony angHagop atamianMethod of researchSchmid college of scienceChapman university in orangeSchmid collegeNovo drug designTransformer based machine translationReinforcement learningAdaptive monte carlo tree searchDecoder transformerMonte carlo treeAdaptive monte carlo tree