Large Language Models Open New Way of AI-Assisted Molecule Design for Chemists
Shoichi Ishida, Tomohiro Sato, Teruki Honma, Kei Terayama by American Chemical Society (ACS)
Abstract
Recent advancements in artificial intelligence (AI)-based molecular design methodologies have offered synthetic chemists new ways to design functional molecules with their desired properties. While various AI-based molecule generators have significantly advanced toward practical applications, their effective use still requires specialized knowledge and skills concerning AI techniques. Here, we develop a large language model (LLM)-powered chatbot, ChatChemTS, that enables chemists to design new molecules using an AI-based molecule generator through only chat interac-1