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Next to the stage is Jun Yang of St. Jude Children's Research Hospital - ALSAC. His presentation details MAVE-informed protein language models for predicting pharmacokinetics variant function at scale.

#VariantEffect26
#MAVEs #ProteinLanguageModels
#AtlasOfVariantEffectsAlliance

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STAG-LLM: Predicting TCR-pHLA binding with protein language models and computationally generated 3D structures. Computational and Structural Biotechnology Journal, DOI: https://doi.org/10.1016/j.csbj.2025.09.004

STAG-LLM: Predicting TCR-pHLA binding with protein language models and computationally generated 3D structures. Computational and Structural Biotechnology Journal, DOI: https://doi.org/10.1016/j.csbj.2025.09.004

๐Ÿ”— STAG-LLM: Predicting TCR-pHLA binding with protein language models and computationally generated 3D structures. Computational and Structural Biotechnology Journal, DOI: doi.org/10.1016/j.cs...

๐Ÿ“š CSBJ: www.csbj.org

#StructuralBiology #ProteinLanguageModels #Immunotherapy #TCR #HLA #Immunology #AI

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HapScoreDB: a database of protein language model functional scores for haplotype-resolved protein sequences Abstract. Deciphering the functional effects of genetic variants, especially those inherited together on the same haplotype, remains a major challenge in h

๐Ÿšจ Out in NAR @narjournal.bsky.social!

Introducing HapScoreDB: a database of protein language model functional scores for haplotype-resolved protein sequences.

๐Ÿ“„ Paper: doi.org/10.1093/nar/...
๐Ÿ’ป DB: bcglab.cibio.unitn.it/hapscoredb

#Bioinformatics #Genomics #ProteinLanguageModels #CompBio

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Nucleotide context models outperform protein language models for predicting antibody affinity maturation
Araki, T., Fukuyama, J. et al.
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#AntibodyAffinity #ProteinLanguageModels #NucleotideContextModels

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๐Ÿ“ข CSB at the International Rhodobacter Symposium 2025! ๐ŸŒŽ

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!

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A common haplotype in the EXO5 gene can impact its protein structure and dynamics and modulate genome stability and cancer progression Understanding the impact of common germline variants on protein structure, function, and disease progression is crucial in cancer research. This study presents a comprehensive analysis of the EXO5 gen...

๐Ÿงฌ Honored to contribute to this research on EXO5's role in cancer! We computationally explore how EXO5 common haplotypes shape DNA repair, protein dynamics, and cancer outcomes. Thanks to an amazing team and to the Pezcoller Foundation.
#CancerResearch #Genomics #ProteinLanguageModels #MD

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