Top Tweets for #ProteinLanguageModels
Excited to share that ProtoMech, our mechanistic interpretability tool for protein language models, has been accepted to ICML 2026! 🎉
#ICML #ICML2026 #MechanisticInterpretability #ProteinLanguageModels #AI4Science #ComputationalBiology #MachineLearning #Interpretability #BioAI #DeepLearning
Can we learn how protein language models (pLMs) work?👀
As a matter of fact, yes! I'm excited to shared that our paper, "Protein Circuit Tracing via Cross-layer Transcoders", has been accepted into ICML 2026! Check out our findings at https://t.co/LwdUMbakvT (1/n)
🙏 Huge thanks to my co-authors @gabriel_cretin, Julien Diharce, @AlexTwentySeve & @gellyjc, and to @GENCI_HPC / IDRIS for the Jean Zay H100 GPU resources that made this work possible!
#Bioinformatics #ProteinLanguageModels #Pathogenicity #AlphaMissense #DSIMB
タンパク質のmultiple sequence alignmentを、protein language modelの埋め込み表現から直接構築するARIESを提案。低い配列同一性領域でも精度を維持し、配列数に対してほぼ線形にスケールと報告。構造予測や進化解析の前処理を更新する選択肢。 https://t.co/SOZsTa0BXm #ProteinLanguageModels
🔗 STAG-LLM: Predicting TCR-pHLA binding with protein language models and computationally generated 3D structures. DOI: https://t.co/4hfPK0p2oD
📚 CSBJ: https://t.co/lplHGRkyx7
#StructuralBiology #ProteinLanguageModels #Immunotherapy #ComputationalBiology #TCR #HLA @CSB_Journal
Peering into the gloom of #ProteinLanguageModels, MIT researchers crack open the "black box" of biological prediction. Maybe we're not as blind in #DrugDiscovery as we thought. Our dystopian future just got a bit clearer. https://t.co/1YN2JdQDAV...
📢 CSB at the International Rhodobacter Symposium 2025! 🌎
PhD students Miguel and Carla took the stage to present their cutting-edge work in #proteinlanguagemodels, #biosensor and #geneticcircuits.
Thanks to Isobionics and @WUR for the organization!
#Proteinlanguagemodels are revolutionizing R&D in protein engineering—enabling discoveries 10x faster, with prediction accuracies up to 95% and cutting R&D costs by nearly 60%. Find your ProtLLM here!
https://t.co/TQwR9U10JL
#ProteinEngineering #AI #DeepLearning
Advancing #ProteinScience with #LargeLanguageModels: From Sequence Understanding to Drug Discovery
#LLMs #Protein #ProteinLanguageModels #pLMs #AI #ArtificialIntelligence #Tech #Technology
https://t.co/cWxT9I2MpT
Viral sequences are often poorly annotated in environmental samples, creating a significant barrier to understanding how viruses influence microbial ecosystems.
Paper: https://t.co/I3xgnTEaIa
Code: https://t.co/GXrcDJUsCh
#ViralResearch #ProteinLanguageModels
🚀 Excited to share that our paper, “Training Compute-Optimal Protein Language Models,” will be presented as a Spotlight Poster at NeurIPS 2024! 🧬📊
Check out the paper here: https://t.co/BSQMpWxnjk
#NeurIPS2024 #ProteinLanguageModels #MachineLearning #SpotlightPoster
Combining evolution and protein language models for an interpretable cancer driver mutation prediction with D2Deep.
💻Code: https://t.co/uNe373XWZ0
📜Paper: https://t.co/XXv9NMsIr3
#CancerResearch #ProteinLanguageModels #AIinHealthcare #Epistasis #Bioinformatics
#AMPLIFY: Leveraging #Data #Quality Over Scale for Efficient #Protein #LanguageModel Development
#ProteinLanguageModels #pLMs #ML #MachineLearning
https://t.co/XSyrmhdgsO
Integrating structural info into #proteinlanguagemodels offers up improved sequence predictions — another step in maximizing the potential for #machinelearning in #proteinengineering. Read it in @ScienceNews https://t.co/OpvNUj2aQT
#ProteinAnnotationImprovedRepresentations (#PAIR): A Flexible Fine-Tuning Framework that Employs a Text Decoder to Guide the Fine-Tuning Process of the Encoder
#ProteinLanguageModels #PLMs #Proteins #databases #Tech #Technology
https://t.co/5FIXlFnelr
Advances & Challenges in Predicting TCR Specificity: From Clustering to #ProteinLanguageModels
#PLMs #TCR #data
https://t.co/a88eQQjVbR
Interesting work from @StanfordBiochem on building structural info into #proteinlanguagemodels to better predict #proteinevolution. This approach could be useful in developing #antibodies to viral targets, says IPI’s Rob Meijers. Read the news in @cenmag!
https://t.co/GwLdjEwv9v
Another experiment using #proteinlanguagemodels:
https://t.co/g7ivBQWpnd
1. Multiple input tracks similar to the ESM3 model
2. Catalytic sites as inputs along with amino-acid sequence
3. This simple multi-modal model does as well as the existing best model for catalytic-site prediction
I'm thrilled that my latest research paper, "Exploiting protein language models for the precise classification of ion channels and ion transporters," has been published in Proteins.
🔗 https://t.co/fY5LxI1blb
#Bioinformatics #Research #DeepLearning #ProteinLanguageModels
Discover how AI is revolutionizing the field of protein research with sophisticated language models. #ProteinDesign #AIinHealth #ProteinLanguageModels
Specifically, it's a #multimodal data integration approach that aims to effectively encode 1D sequence and 3D structure of a given protein, using #ProteinLanguageModels and #GraphNeuralNets, respectively. 4/n
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