Tag: artificial intelligence
OpenADMET have just announced the ExpansionRx-OpenADMET blind challenge in partnership with Expansion Therapeutics. Expansion Therapeutics have decided to make all the ADMET publicly available. “We
Apple just posted preprint on arxiv describing a new protein structure prediction tool SimpleFold https://arxiv.org/pdf/2509.18480. All code is available on GitHub https://github.com/apple/ml-simplefold including a simple
Two free meetings at the start of September. Full details here https://www.c-inf.net and on the 4th September The first event of Michaelmas term with two
Abstract submission is now open for the 8th RSC-CICAG/BMCS Artificial Intelligence in Chemistry Meeting. Details of the meeting are here https://www.rscbmcs.org/events/aichem8/ You can submit abstracts
TabPFN is a foundation model trained on around 130,000,000 synthetically generated datasets that mimic “real world” tabular data. These datasets sampled dataset size and number
A recent paper published in Nature caught my eye, Accurate predictions on small data with a tabular foundation model by Hollmann et al., Here we present
A very nice review of generative models for molecular design from Morgan Thomas. https://cheminformantics.blogspot.com/2024/12/structure-aware-generative-molecular.html Includes Jupyter notebooks for data and analysis.
The CICAG Newsletter, which had its origins in the 1990s (when CICAG was two groups, the ‘Chemical Information Group’ and the ‘Computer Applications Subject Group’).
An interesting publication, using the IUPAC rules for naming compounds can be a challenge for for complex systems. This paper describes a transformer-based model https://doi.org/10.1186/s13321-024-00941-x