Research professor and interim CEO acellera.com.
Lab: www.compscience.org
Scholar: https://scholar.google.com/citations?hl=en&user=-_kX4kMAAAAJ&view_op=list_works&sortby=pubdate
www.feworkshop.org
www.feworkshop.org
www.linkedin.com/posts/gdefab...
www.linkedin.com/posts/gdefab...
www.businesswire.com/news/home/20...
www.businesswire.com/news/home/20...
www.biorxiv.org/content/10.1...
www.biorxiv.org/content/10.1...
Key features: 🔹 Simplified NNP/MM simulations 🔹 Python API & backward compatibility
Explore more: www.acellera.com/blog/release...
A novel machine-learning-based force field for protein thermodynamics. It uses an all-heavy-atom approach without hydrogens to simplify simulations while maintaining key dynamics.
pubs.acs.org/doi/10.1021/...
A novel machine-learning-based force field for protein thermodynamics. It uses an all-heavy-atom approach without hydrogens to simplify simulations while maintaining key dynamics.
pubs.acs.org/doi/10.1021/...
go.bsky.app/AcP9Lix
go.bsky.app/AcP9Lix
Made a starter pack for computational chemists, let me know who I missed please
@jchodera.bsky.social
@olexandr.bsky.social
@jelfschem.bsky.social
Made a starter pack for computational chemists, let me know who I missed please
@jchodera.bsky.social
@olexandr.bsky.social
@jelfschem.bsky.social