Protein ML papers @jashleym6975 Twitter Profile

Protein ML papers

@jashleym6975

Deep Learning for protein design #Proteins #ML #CompBio #BetterThanTianlai

10Posts 17Followers 99Following

Protein ML papers Reposted

Bernardo de Souza

@bernadsz

21 Jul

How to accurately predict small S-T bandgaps? #ORCA6 now has a powerful DeltaSCF implemented. It can directly converge the SCF to an excited state. Here is the famous PTZ-DBTO2 (an important material for TADF-OLEDs!), optimized to its S1. 1/3

Protein ML papers Reposted

Nature Biotechnology

@NatureBiotech

12 Jul

Template-independent enzymatic synthesis of RNA oligonucleotides go.nature.com/3zBfDZf

Protein ML papers Reposted

Yun S. Song

@yun_s_song

17 Jul

We were invited to write a review article on DNA/genomic language models (gLMs). We took this occasion to gather our thoughts on promising applications, and major considerations for developing and evaluating gLMs. Pls share with your colleagues: Preprint: arxiv.org/abs/2407.11435

Protein ML papers Reposted

BlinkDL

@BlinkDL_AI

17 Jul

SotA results from #RWKV🚀Restore-RWKV: Efficient and Effective Medical Image Restoration with RWKV (it's using RWKV-4🐦 with Re-RWKV & Omni-shift) code: github.com/Yaziwel/Restor… paper: arxiv.org/abs/2407.11087

Protein ML papers Reposted

Bernardo de Souza

@bernadsz

15 Jul

What is the largest QM calculation you ever run? We @faccts_orca did Insulin (3I40) + 2k H2O (image below) with #ORCA6 on a single node (AMD EPYC 7502P, 1 TB RAM). !PBE cc-pVDZ full calculation, no tricks. Won't spoil further. More on the ORCA6 release day (25/07)! #compchem

Protein ML papers Reposted

kooshiar

@kooshiar

16 Jul

First text2protein AI model, compressing billions of years of life. 800+ novel, functional and foldable proteins are discovered by researchers. Whitepaper and repo bit.ly/310paper

Protein ML papers Reposted

Nina Miolane

@ninamiolane

15 Jul

Data often exhibit non-Euclidean structure: From the curvature of space-time🌐, to topologically complex interactions between neurons🍩, to algebraic transformations describing symmetries in physical systems💎. How can ML/AI best process this data? Check out our new review!

Protein ML papers Reposted

Geometric Intelligence Lab

@geometric_intel

15 Jul

🌟 New review from the lab! Discover the geometric, topological and algebraic signatures of machine learning and deep learning models. By @naturecomputes @johmathe @mathildepapillo D. Buracas @hansenlillemark @cashewmake2 @AbbyBertics X. Pennec & @ninamiolane !

Mathilde Papillon

@mathildepapillo

15 Jul

In the 20th century, non-Euclidean geometry transformed how we model the world with pen and paper. In this century, it’s revolutionizing how we model the world with machines. Our review on the topic is out arxiv.org/pdf/2407.09468, led w the brilliant @naturecomputes @johmathe