Ariel Ben-Sasson (@arielbs100) 's Twitter Profile
Ariel Ben-Sasson

@arielbs100

I design complex protein assemblies, engineer de-novo biologically active structures, and envision the next generation of sustainable and living materials.

ID: 1281722181504823297

calendar_today10-07-2020 22:50:15

102 Tweet

419 Followers

376 Following

Ariel Ben-Sasson (@arielbs100) 's Twitter Profile Photo

It's so satisfying to see our work in print! We showcase computer designed #protein #biomaterials engaging cells with molecular precision to decipher one of the most fundamental and yet elusive determinants of cell division process. Huge POC for the future of #synthetic_biology!

Shunzhi Wang (@wang_shunzhi) 's Twitter Profile Photo

Now live Nature Materials! We're thrilled to share our work on the computational design of de novo 3D protein crystals, introducing a new class of genetically encodable biomaterials. De novo crystals hold transformative potential for engineering living cells. Institute for Protein Design

Oded Rechavi (@odedrechavi) 's Twitter Profile Photo

I'm confident that I reflect the opinion of most of my friends in Israeli academia when I say that we feel betrayed by many of our colleagues abroad and will never forget #hamasiISIS

The Spectator Index (@spectatorindex) 's Twitter Profile Photo

BREAKING: Israel's ambassador to the UN wears Nazi-era yellow star while addressing the UN Security Council, says that 'when Jewish babies were burned in Auschwitz the world was silent, today Jewish babies were burned in Bari and the southern settlements by the Nazi Hamas and the

Generate:Biomedicines (@generate_biomed) 's Twitter Profile Photo

Nearly all existing protein-based therapeutics are created from a fraction of possible protein concepts. This is about to change. We are excited to share a publication in nature describing Chroma, an AI model that can program novel proteins. generatebiomedicines.com/news/generateb…

SciencesNetwork (@sciencesnetwork) 's Twitter Profile Photo

De novo design of diverse small molecule binders and sensors using Shape Complementary Pseudocycles biorxiv.org/content/10.110…

Justas Dauparas (@justasdauparas) 's Twitter Profile Photo

LigandMPNN preprint: biorxiv.org/content/10.110… LigandMPNN inference code + model weights (including ProteinMPNN, SolubleMPNN etc): github.com/dauparas/Ligan…

Preetham Venkatesh (@preethamvi) 's Twitter Profile Photo

Paper is now live on Science Magazine! Congrats to Rohith Krishna Jue Wang Woody Ahern for leading this work. Big leap for protein modeling and design! Paper: science.org/doi/10.1126/sc… Code: github.com/baker-laborato…

KuehLab (@kueh_lab) 's Twitter Profile Photo

Our latest preprint, on T cell receptor (TCR) signaling by condensate nucleation! This theory + experiment study was led by the brilliant Will White, with Jay Groves College of Chemistry and David Baker Institute for Protein Design and Ariel Ben-Sasson.  (1/n) biorxiv.org/content/10.110…

Google DeepMind (@googledeepmind) 's Twitter Profile Photo

AlphaFold 3 can generate the 3D structures of proteins, DNA, RNA, and smaller molecules, while also revealing how they fit together. đź§© It can also model chemical changes to them that control the healthy functioning of cells - and when disrupted, could lead to disease.

Mohammed AlQuraishi (@moalquraishi) 's Twitter Profile Photo

Genie 2 matches the best existing methods on designability while opening comfortable margins on diversity and novelty, likely by implicitly capturing more of protein structure space. Despite being trained on crops of <256 residues, Genie 2 holds its own up to 500 residues. (2/5)

Genie 2 matches the best existing methods on designability while opening comfortable margins on diversity and novelty, likely by implicitly capturing more of protein structure space. Despite being trained on crops of &lt;256 residues, Genie 2 holds its own up to 500 residues. (2/5)
Chai Discovery (@chaidiscovery) 's Twitter Profile Photo

Chai-1 has always been available for commercial use via our server. Today, we're also making Chai-1(r) code and weights available under an Apache 2.0 license, which permits broad commercial use. github.com/chaidiscovery/…

Amy Lu (@amyxlu) 's Twitter Profile Photo

1/🧬 Excited to share PLAID, our new approach for co-generating sequence and all-atom protein structures by sampling from the latent space of ESMFold. This requires only sequences during training, which unlocks more data and annotations: bit.ly/plaid-proteins 🧵

1/🧬 Excited to share PLAID, our new approach for co-generating sequence and all-atom protein structures by sampling from the latent space of ESMFold. This requires only sequences during training, which unlocks more data and annotations:

bit.ly/plaid-proteins
đź§µ
Sam Tipps (@samtipps) 's Twitter Profile Photo

Best read of the day - innovative design, and great science to generate large virus-like protein cages by breaking symmetry 🎉 nature.com/articles/s4158… nature.com/articles/s4158… nature.com/articles/s4146… Quinton Dowling, Sangmin Lee Ryan Kibler King Lab Institute for Protein Design

Best read of the day - innovative design, and great science to generate large virus-like protein cages by breaking symmetry 🎉

nature.com/articles/s4158…

nature.com/articles/s4158…

nature.com/articles/s4146…

Quinton Dowling,
<a href="/lsmin0152/">Sangmin Lee</a> 
<a href="/kribler/">Ryan Kibler</a> 
<a href="/KingLabIPD/">King Lab</a> 
<a href="/UWproteindesign/">Institute for Protein Design</a>
Lucas Harrington (@crispr_lucas) 's Twitter Profile Photo

📢Excited to introduce NanoCas -our new mini CRISPR system that can reach tissues previously out of reach! By shrinking CRISPR to 1/3 its normal size, we can now edit genes in muscle, heart & brain that were difficult to access before. Summary & link to paper:

📢Excited to introduce NanoCas -our new mini CRISPR system that can reach tissues previously out of reach! 

By shrinking CRISPR to 1/3 its normal size, we can now edit genes in muscle, heart &amp; brain that were difficult to access before. Summary &amp; link to paper: