Rowan (@rowansci) 's Twitter Profile
Rowan

@rowansci

molecular design and simulation tools for scientists. (also see our literature-posting account @RowanReads.)

(cover image from @owl_posting)

ID: 1679860201195749377

linkhttp://rowansci.com calendar_today14-07-2023 14:27:44

210 Tweet

1,1K Followers

4 Following

Xirtam Esrevni (@xirtamesrevni) 's Twitter Profile Photo

This team is just insane, they have literal built an app stack that gives them the flexibility to take any compute engine and make in live within hours... very impressive Rowan gives you a very unique advantage in fast pace scenarios.

Ari Wagen (@ariwagen) 's Twitter Profile Photo

Chai Discovery (Joshua Meier Chai Discovery) just released Chai-2, a model for "zero-shot antibody design in a 24-well plate." The most existing result? Chai-2 successfully generated binders for 50% of the 52 targets they assayed (100x better than SOTA)! Some thoughts below:

Chai Discovery (<a href="/joshim5/">Joshua Meier</a> <a href="/chaidiscovery/">Chai Discovery</a>) just released Chai-2, a model for "zero-shot antibody design in a 24-well plate."

The most existing result? Chai-2 successfully generated binders for 50% of the 52 targets they assayed (100x better than SOTA)!

Some thoughts below:
Corin Wagen (@corinwagen) 's Twitter Profile Photo

The past few years of "AI for life sciences" has been all about the models: AF3, NNPs, PLMs, binder generation, docking, co-folding, ADMET, &c. But Chai-2, and lots of related work, shows us that the vibes are shifting. Models themselves are becoming just a building block; the

klee (@k7eebie) 's Twitter Profile Photo

research-to-product gap is massive in ai x science. feel like a lot of the startups and incumbents working on "automating" the scientific process fail to realize that productization is vital in reaching asi. the synthesis and validation problems all ai x science companies are

Rowan (@rowansci) 's Twitter Profile Photo

We've just posted new videos covering a variety of interesting topics: - Computing 2D potential-energy surfaces for Diels–Alder reactions - Running protein–ligand co-folding models - Modeling the effect of metabolism on blood–brain-barrier penetrance youtube.com/@RowanSci

We've just posted new videos covering a variety of interesting topics: 
- Computing 2D potential-energy surfaces for Diels–Alder reactions
- Running protein–ligand co-folding models
- Modeling the effect of metabolism on blood–brain-barrier penetrance

youtube.com/@RowanSci
Rowan (@rowansci) 's Twitter Profile Photo

Few know this, but Rowan hosts a free 2D/3D structure viewer and editor at labs.rowansci.com/editor. You can go from SMILES to .xyz, edit structures, change dihedrals, add a periodic cell, and download the final structure—all totally free, no account needed. Here's a quick demo:

Corin Wagen (@corinwagen) 's Twitter Profile Photo

In January, we released a workflow to quantify the strength of hydrogen-bond acceptors in complex molecules. Since then, lots of scientists have asked us "what about hydrogen-bond donors?" As of today, we've updated our paper and workflow to also compute donor strength:

In January, we released a workflow to quantify the strength of hydrogen-bond acceptors in complex molecules. Since then, lots of scientists have asked us "what about hydrogen-bond donors?" 

As of today, we've updated our paper and workflow to also compute donor strength:
Rowan (@rowansci) 's Twitter Profile Photo

You can now download structures from Rowan as .sdf files, making it significantly easier to load outputs from Rowan into the rest of the ecosystem of life-science software! From a completed calculation, this takes just two clicks: