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ProSTAGE: Predicting Effects of Mutations on Protein Stability by Using Protein Embeddings and Graph Convolutional Networks.

Journal of chemical information and modeling - 22 Jan 2024

Li Gen, Yao Sijie, Fan Long

Abstract excerpt

Protein thermodynamic stability is essential to clarify the relationships among structure, function, and interaction. Therefore, developing a faster and more accurate method to predict the impact of the mutations on protein stability is helpful for protein design and understanding the phenotypic variation. Recent studies have shown that protein embedding will be particularly powerful at modeling sequence...

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Mutation
Neural Networks, Computer
Protein Stability
Protein Structure, Secondary
Proteins

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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PMID: 38166383
DOI: 10.1021/acs.jcim.3c01697
PMCID: PMC10806799

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