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Imbalance in the ratio of active and inactive myosin molecules disrupts the heart muscle’s ability to contract and relax normally hvrd.me/JBB030qcL8v

Great news this morning: We are on the cover of Nature Materials !

Plastic enters taxonomy ... worldwildlife.org/stories/meet-t…

We explain the how (glycines and tyrosines at the receptor binding domain of) SARS-CoV2 target the same site on human ACE2 where ATR1 binds originally, to gain entry into human cells. SARS-CoV1, even though binds similarly, has lesser efficient contacts biorxiv.org/content/10.110…

NAMS 2020 Twitter launched. First tweet on the online conference. Membrane tweeps please RT. #membranes North Amer. Memb Soc

One of my final efforts during PhD in developing a tool that allows prediction of favorable indels along with amino acid substitutions for protein design in collaboration with Pfleger Lab | UW-Madison CBE - is out now in Structure #proteindesign #proteinengineering #proteins

CASP14 #s just came out and they’re astounding—DeepMind looks to have solved protein structure prediction. Median GDT_TS went from 68.5 (CASP13) to 92.4!!!! Cf. their 2nd best CASP13 struct scored 92.8 (out of 100). Median RMSD is 2.1Å. I think it's over predictioncenter.org/casp14/zscores…

My thoughts on AlphaFold2: moalquraishi.wordpress.com/2020/12/08/alp…

This is possibly the best time to start working on protein design !

Today with EMBL-EBI, we're launching the #AlphaFold Protein Structure Database, which offers the most complete and accurate picture of the human proteome, doubling humanity’s accumulated knowledge of high-accuracy human protein structures - for free: dpmd.ai/alphafolddb 1/

This is just the beginning ... Besides the rush to access the 'struct'-omics level info for ML operations, this is the time to work on side-chain chemistry for engineering operations! #proteindesign

Now that the #alphafold hype has completely died down (ha!), I've written a new blog post on the AF2 method paper: moalquraishi.wordpress.com/2021/07/25/the…. This is a technical deep-dive into aspects of AF2 that I find most surprising/innovative and of relevance to broader biomolecular modeling.

Drawing from biology of protein folding, we introduce RGN2 - to fold amino acid sequences along an information landscape given by a new protein-language model Amino #BERT - without any training on similar proteins i.e., no MSAs/ distograms Link to article: tiny.cc/RGN2

Our RGN2 predictions are several orders of magnitude faster than current methods thus bearing promise for rapid and high-throughput protein library generation and aid #proteindesign Mohammed AlQuraishi, Peter Sorger, Surge Biswas, Nazim Bouatta,george church

Amazing write up by Derek Lowe mentioning our RGN2 paper :)

This ! Right here ... Expect to see a lot of model training to follow right after - exciting stuff! Mohammed AlQuraishi

📢 #Preprint Alert ‼️ Together with Penn State Chemical Engineering Costas D. Maranas, INRAE_International Hirel & Dellagi & Iowa State Chemical and Biological Engineering Ratul Chowdhury labs, we connected temperature stress with thermodynamics-reducing power-energy generation axis & how to alleviate stress upon a mycorrhizal fungus inoculation

Brooklyn Mills of Grand View University is working on “AI-Driven Design of Alpha Helical Proteins” with CBE's Ratul Chowdhury. She says, “This allows me to soak up the knowledge of those who were once in my position and see how they got to where they are." Ratul Chowdhury

A new mode in TensorFlow makes it act a lot like PyTorch -- medium.com/@yaroslavvb/te…

Do machines actually beat doctors? If you’re a data scientist interested in medicine, read this. Via Peter Schulam lukeoakdenrayner.wordpress.com/2016/11/27/do-…