How Claude is accelerating protein design and analytical chemistry

This post details the application of Claude models (Mythos Preview and Opus 4.8/5) to accelerate scientific research in protein design and analytical chemistry. It quantifies Claude's success rate in designing protein binders against 15 targets, achieving hit rates of 22.6% to 35.1%, significantly exceeding the typical 10-15%. It also highlights Claude's ability to process NMR and LC-MS data for chemical analysis, returning finished results in minutes. The post describes the experimental setup, including the use of Claude Science, access to external resources, and the orchestration of specialized protein design and folding models. It also notes specific successes, such as Opus 4.8's ability to design binders for the challenging TNFα target, and discusses the potential for further improvements with expert human guidance.