Designing molecules is one of chemistry's most complex challenges. From life-saving drugs to advanced materials, each ...
Researchers have developed a framework that interprets chemical strategy as language, opening a new path for AI-assisted ...
Researchers at EPFL have developed Synthegy, a framework that uses large language models to guide retrosynthesis and reaction mechanism planning in chemistry. By interpreting chemists’ ...
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 ...
We are seeking a highly motivated Postdoctoral Researcher to join our interdisciplinary team focused on Artificial Intelligence (AI)-driven retrosynthesis and reaction prediction. The successful ...
Synthetic route design remains a critical bottleneck in small‑molecule drug discovery, especially as teams juggle complex targets, aggressive timelines, and sustainability expectations.
The Nature Index 2025 Research Leaders — previously known as Annual Tables — reveal the leading institutions and countries/territories in the natural and health sciences, according to their output in ...
PARIS & DUNDEE, U.K.--(BUSINESS WIRE)--Iktos, a company specialized in Artificial Intelligence for new drug design, and The Drug Discovery Unit (DDU), School of Life Sciences, The University of Dundee ...
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