Top Tweets for #ESMfold
Prot-LAMBDA: a protein language model taught to reason in 3D, reportedly matching one 5x its size. Efficiency over scale. Read the breakdown. #ProteinAI #ESMFold #CompBio
https://t.co/ie3yXB1Z1B
What’s AI.zymes?🤔 Using evolutionary design, AI.zymes combines the best of🛠️#Rosetta🧬#ProteinMPNN🔍 #ESMFold and⚡#FieldTools.
Unlike other algorithms, AI.zymes specifically optimizes biocatalytic properties.
And it’s highly modular, ready to expand as new tools emerge!
2/🧵

🔍Curious about the unexplored 'dark matter' of RNA? #AI has just uncovered a treasure trove! Dive into the depths of hydrothermal vents and what this means for our understanding of the natural world. #ESMFold #AlphaFold
Read more ➡️ https://t.co/ukO5RdCdNa

Made a Web App using #python & #streamlit to Predict protein structure using #ai #LLMs model #esmfold from @AIatMeta! Thanks @thedataprof for excellent tutorials and @streamlit for providing the platform to share the App!
App link: https://t.co/Qz4Fq2Fzvf
Predicting Antimicrobial Peptides Using ESMFold-Predicted Structures and ESM-2-Based Amino Acid Features with Graph Deep Learning #DeepLearning #ESMFold
https://t.co/qWq5qgpwmR
#JCIM Vol64 Issue10 #Bioinformatics
#SaprotHub: Making #protein #modeling accessible to all biologists:
-create & train own #DeepLearning models without the need for advanced #MachineLearning & coding expertise
https://t.co/cUkEKkNO7q
#DIYbio #bioinformatics #CompChem #AI #ML #KI #LLM #AF2 #ESMfold #ColabFold

#OpenFold has prompted multiple developments, including a fast protein structure pipeline when combined with a protein language model, #ESMFold. More exciting developments should come with a trainable version of #AlphaFold3 2/5
In a 2023 Science study, @AIatMeta researchers showed the power of a large language model—#ESMFold—to enable protein structure prediction and analysis.
Using ESMfold, they generated a database of over 600 million metagenomic proteins. https://t.co/ySZTubg8XQ #ScienceMagArchives

In a 2023 Science study, @AIatMeta researchers showed the power of a large language model—#ESMFold—to enable protein structure prediction and analysis.
Using ESMfold, they generated a database of over 600 million metagenomic proteins. https://t.co/m2FNfMnKOF #ScienceMagArchives

Sun Yat-sen University researchers leverage Language Models & Geometric Deep Learning for Genome-scale annotation of protein binding sites, opening doors to understanding hidden links between genes, functions, & diseases.
🔗 https://t.co/xKBQs52aEY
#Bioinformatics #esmfold #AI
Congratulations Zeming! #ESMfold
I defended my thesis! Big thanks to my committee @ylecun @rob_fergus @kchonyc @ZhongingAlong @RichBonneauNYC! Thanks to @alexrives and the entire Meta AI protein team as well, @proteinrosh @BrianHie @TomSercu and too many others to name.
Now on to more fun science!

Miss the #ESMfold server? ESMfold is now available with a slick web interface or API call @openprotein. Free for academic use. Sign up for early access now! https://t.co/bu7hsUBYPZ
Meta Shifts Focus from Scientific Endeavors to Profitable AI Ventures
#AI #AIproteinfolding #artificialintelligence #Chatbots #disband #ESMMetagenomicAtlas #ESMFold #Fairlab #genAI #generativeAIteam #Investment #llm #machinelearning #meta
https://t.co/tbBJKtKANk

Hi twitter hive mind!
Is there an efficient tool to get the pLDDT vals from a bunch of #Alphafold2/#ESMFold models? This was my best try with #BioPandas to get the #PDB files, mean #pLDDT and pLDDT per resid. But it is not efficient if you want to get the stats for >10k models😮💨

🚨Updates🚨 We have two updates to share: 1) We have updated #AlphaFold and #ColabFold to the latest version (v2.3.1) and 2) we added #ESMFold as a new structure prediction tool. Let us know how it goes for you! See thread ->
Using #ESMFold , they generated a database—the ESM Metagenomic Atlas—of over 600 million metagenomic proteins.
@ScienceMagazine #science @MetaAI #technology #AI #artificialintelligence

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