Researchers at EPFL built an AI framework that lets chemists describe what molecules they want in plain language.

Creating complex molecules usually requires years of experience and countless decisions, but a new AI system is changing that ...

Designing molecules is one of chemistry's most complex challenges. From life-saving drugs to advanced materials, each ...

Retrosynthesis aims to predict a set of reactants for producing given molecules, which plays a significant part in the biochemistry field, such as molecular pathway design and drug discovery. Most ...

Synthetic route design remains a critical bottleneck in small‑molecule drug discovery, especially as teams juggle complex targets, aggressive timelines, and sustainability expectations.

PARIS--(BUSINESS WIRE)--Iktos, a company specialized in Artificial Intelligence for new drug design and UCB, a global biopharma company focusing on neurology and immunology, today announced a software ...

Advancements in the field of drug discovery and chemical development have necessitated the integration of computer-assisted technologies to expedite processes, uncover efficiencies, and foster ...

Chemical engineers have trained a neural network model to plan synthetic routes to any target molecule, optimizing user-specified objectives such as cost, time, and sustainability. Researchers, from ...