@GabriCorso
Gabriele Corso
@GabriCorso
1 year
Very cool to see DiffDock featured in @MIT News! Thank you to Alex and @timrpeterson for writing and contributing to the article! I'm excited to see the amazing biology it could help uncover!
Tweet card media
Speeding up drug discovery with diffusion generative models

MIT researchers built DiffDock, a diffusion generative model that could potentially find new drugs faster than traditional methods and reduce the potential for adverse side effects.

news.mit.edu
2
14
68

Replies

@GabriCorso
Gabriele Corso
@GabriCorso
1 year
@MIT @timrpeterson DiffDock is open-source and easily accessible at and is joint work with @HannesStaerk , Bowen Jing, @BarzilayRegina and Tommi Jaakkola!
Tweet card media
GitHub - gcorso/DiffDock: Implementation of DiffDock: Diffusion Steps, Twists, and Turns for...

Implementation of DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking - gcorso/DiffDock

github.com
0
3
11
@timrpeterson
Tim Peterson
@timrpeterson
1 year
@GabriCorso @MIT Thanks @GabriCorso and team! Also special thanks to @lab_dao @Niklas_TR for helping @bioio_tech make a very cool proof of concept using Diffdock!
0
1
3