PROteolysis TArgeting Chimeras (PROTACs) technology provides an alternative to module biological function by specially using the ubiquitin proteasome system to induce degradation of the target
Tag: machine learning
Next up Date: 5 February 2026 Lecture Theatre, Jeffrey Cheah Biomedical Centre, Puddicombe Way, Cambridge CB2 0AW. No need to register in advance – just
I’ve reviewed TabPFN in the past. https://macinchem.org/2025/02/06/looking-at-tabpfn and I noticed there was a recent update. TabPFN is a foundation model trained on around 130,000,000 synthetically generated
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
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 really interesting preprint caught my attention from Connor Coley’s group at MIT. ShEPhERD diffusing shape, electrostatics, and pharmacophores for bioisosteric drug design https://arxiv.org/abs/2411.04130v1 …
A new Apple preprint has appeared on Arxiv. https://arxiv.org/pdf/2403.20329.pdf Reference resolution is an important problem, one that is essential to understand and success- fully handle
I suspect many people have been anticipating this, whilst AlphaFold was a great step forward in predicting protein 3D structure it did have significant limitations.