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Article

Predicting the effects of mutations on protein solubility using graph convolution network and protein language model representation.

Journal of computational chemistry - 30 Mar 2024

Wang Jing, Chen Sheng, Yuan Qianmu, Chen Jianwen, Li Danping, Wang Lei, Yang Yuedong

Abstract excerpt

Solubility is one of the most important properties of protein. Protein solubility can be greatly changed by single amino acid mutations and the reduced protein solubility could lead to diseases. Since experimental methods to determine solubility are time-consuming and expensive, in-silico methods have been developed to predict the protein solubility changes caused by mutations mostly through protein evolution...

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PMID: 37933773
DOI: 10.1002/jcc.27249

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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