Michael Skinnider and his team have developed DeepMet, a large language model–guided program that can assign a structure to ...

Researchers present a new generative AI model that can simultaneously design catalyst structures and predict their performance under specific reaction conditions. CatDRX is a generative AI framework ...

Boltz-2 is an open-source biomolecular model achieving near-FEP accuracy with 1000x faster predictions for structure and binding affinity. MIT and Recursion have released Boltz-2, the first ...

Princeton researchers have developed a new tool to speed the discovery of advanced materials known as metal organic frameworks, or MOFs.MOFs are an ...

Genesis’ proprietary foundation model – Pearl – outperforms frontier models, including AlphaFold 3, on key benchmarks that predict utility in real-world drug discovery Pearl’s performance improved ...

CatDRX is a generative AI framework developed at Institute of Science Tokyo, which enables the design of new chemical catalysts based on the specific ...

They build our bodies and orchestrate the molecular processes in cells that keep them healthy. They also present a wealth of targets for new medications. From everyday pain relievers to sophisticated ...

SwRI’s new GAMES model turns molecular text into smarter drug candidates, offering a faster and more accurate path to breakthrough therapies. SwRI developed a large language model called Generative ...

In 1974, Professor Richard Robson at the University of Melbourne in Australia was drilling holes into wooden balls so students could connect rods to create molecular structure models. While pondering ...