I’ve written about TabPFN previously https://macinchem.org/2025/02/06/looking-at-tabpfn/ and I see a technical report has just been published. https://priorlabs.ai/technical-reports/tabpfn-3 TabPFN is a foundation model trained on around 130,000,000
Category: Macinchem Blog
The blog for the website
https://www.linkedin.com/feed/update/urn:li:activity:7461059877155631105 A fantastic step-by-step breakdown of an example Python pipeline used to build a ligand-based 3D pharmacophore model using free, open-source tools.
If you are coming to the 9th RSC-CICAG / RSC-BMCS Artificial Intelligence in Chemistry meeting in Cambridge 2-4 September 2026. You might also be interested
Lack of data has hampered the building of models to accurately predict binding affinity so I’m sure everyone is super excited to see the first
RSC CICAG Quantum Computing in Chemistry: Current Capabilities and the Road to UtilityThursday 19th November 2026, Burlington House, London, UK https://registrations.hg3conferences.co.uk/hg3/frontend/reg/thome.csp?pageID=148219&ef_sel_menu=2770&eventID=363 Quantum computing has the
An interesting way to look for better biological foundation models. The core bet is simple: biological data is expensive. Text and image models often improve
I’ve just added PyChem-Pro to the list of cheminformatics toolkits https://macinchem.org/2023/02/17/open-source-cheminformatics-toolkits/ PyChem is a desktop chemistry application and Python library that combines molecular visualization (like
Calculates the 3J coupling constant from the dihedral angle and the electronegativity of the substituents using either the Altona equation or a generalised Karplus equation. Sweet
AI Discovery by Nebius is an annual awards for startups that are leveraging AI to revolutionize drug discovery, biotechnology, genomics and HealthTech.. Details are here https://nebius.com/ai-discovery-award Submission deadline is April 30
An interesting potential funding opportunity Innovate UK is funding up to £150,000 for a pilot Innovate UK Venture Builder Programme to support new deep-tech spin-outs