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Article

mGPfusion: predicting protein stability changes with Gaussian process kernel learning and data fusion.

Bioinformatics (Oxford, England) - 1 Jul 2018

Jokinen Emmi, Heinonen Markus, Lähdesmäki Harri

Abstract excerpt

Motivation: Proteins are commonly used by biochemical industry for numerous processes. Refining these proteins' properties via mutations causes stability effects as well. Accurate computational method to predict how mutations affect protein stability is necessary to facilitate efficient protein design. However, accuracy of predictive models is ultimately constrained by the limited availability of experimental...

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Identifiers

PMID: 29949987
DOI: 10.1093/bioinformatics/bty238
PMCID: PMC6022679

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026. Manifest publication-graph-cohort-2026-09-06.1.

Source receipt: pubmed, retrieved 6 Sept 2026.

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