The Dror Lab at Stanford. For all your computational needs: MD, ML, HPC... Applied to biochemistry, cell biology, drug discovery, and more!

Stanford, California
Joined October 2019
AlphaFold for RNA? Excited to share our @StanfordAILab work on deep learning for predicting 3D RNA structure, out today on the cover of @ScienceMagazine! science.sciencemag.org/conte… Sound interesting? Join us at atomic.ai to bring this work to life! More news soon!
16
363
50
1,232
Machine Learning in Structural Biology (@workshopmlsb) is accepted at #NeurIPS2020! Come check out the exciting line-up of speakers and dates for the call for papers at mlsb.io (more details coming soon). Register interest at forms.gle/zLyQupP93TDqpAf39
Excited to present our latest work on geometric prediction: the class of prediction problems for (non-scalar) geometric tensors! We show the first real-world demonstration of geometric prediction without the need for scalar approximations. arxiv.org/abs/2006.14163 [1/n]
1
26
76
Somehow this slipped my radar. Very cool looking work from the @DrorLab: Hierarchical, rotation-equivariant neural networks to predict the structure of protein complexes. arxiv.org/abs/2006.09275
9
59
Dror Lab retweeted
Google DeepMind
@GoogleDeepMind15 Jan 2020
We have 2 papers published in @nature today! 🎉 One describes AlphaFold, which uses deep neural networks to predict protein structures with high accuracy. AlphaFold made the most accurate predictions at the 2018 scientific community assessment CASP13. 1/4 deepmind.com/blog/article/Al…
13
510
55
1,374
The rebirth of #MLCB2019 was great. Great posters and talks all around. Thanks to the organizers and everyone who came up for making it awesome. Let's make this happen every year---but with coffee during the coffee break in the future.
1
5
31
Lots of fun co-organizing the Biology @ #NeurIPS2019 meetup with @jpq79743104 last night—the level of interest in such a last-minute event was truly stunning! Thanks to all who attended!