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2026 RDKit User Group Meeting (in person and online)

Recently several co-folding AI are available, for example AF3, Chai-1, protenix and openfold. This area is hot and growing day by day. Co-Folding AI has potential for taking SBDD approach without determining the target protein-ligand structure. As most of readers know that there are still limitation of using co-folding AI for SBDD but really useful I think. I have an interest in openfold because openfold disclose code and has good open scientific community.

Welcome to the 2026 Chalmers AI Research Center Workshop for Structured Learning. In this workshop we broadly cover topics related to Structured Learning targeting specifically the following questions...

The Novo Nordisk Foundation Center for Protein Design at the University of Copenhagen seeks to appoint two new group leaders in de novo protein design from 1 February 2027 or as soon as possible thereafter. These positions will be at the Assistant or Associate Professor level and associated with the Department of Biology (Faculty of Science) or the Department of Drug Design and Pharmacology (Faculty of Health and Medical Sciences).

Drug discovery is a dauntingly difficult process due to the enormous space of possible molecules and the complexity of biological systems. Traditional in silico drug design methods have focused primarily on optimising chemical properties, often ...

Computer-aided synthesis planning (CASP) automates retrosynthetic analysis, generally by recursively applying one-step retrosynthesis models within multistep search algorithms to simplify a target mol...

Postdoc in Cell Biology – CRISPR Perturbation and High-Content Imaging, Department of Pharmaceutical Biosciences, Uppsala University