UniMutStab: Shared-weight graph framework for . . . To address this, we introduce UniMutStab, a shared-graph convolutional network leveraging protein language models and residue interaction networks to access any type of mutation
Shared-weight graph framework for comprehensive protein stability . . . Our method, UniMutStab, is trained on massive sequences from the new “Mega-scale” dataset and rapidly predicts all types of mutations ∆∆G of proteins and improves over existing sequence structure-based methods on the majority of application scenarios
Shared-weight graph framework for comprehensive protein stability . . . UniMutStab is a purely sequence-based approach to predict arbitrary mutation types, demonstrating robust generalization across multiple tasks and potentially contributing significantly to protein engineering, personalized therapeutics, and diagnostic methodologies
STAB - Fudan University stab Web site Welcome to STAB A Spatio-Temporal Cell Atlas of the Human Brain Cells 144,047 brain regions 20 developmental periods 11 cell subtypes 42
UniMutStab - GitHub UniMutStab Shared-weight Graph Framework for Comprehensive Protein Stability Prediction across Diverse Mutation Types By Gen Li, Sijie Yao, Long Fan