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Article

ELASPIC web-server: proteome-wide structure-based prediction of mutation effects on protein stability and binding affinity.

Bioinformatics (Oxford, England) - 15 May 2016

Witvliet Daniel K, Strokach Alexey, Giraldo-Forero Andrés Felipe, Teyra Joan, Colak Recep, Kim Philip M

Abstract excerpt

UNLABELLED: ELASPIC is a novel ensemble machine-learning approach that predicts the effects of mutations on protein folding and protein-protein interactions. Here, we present the ELASPIC webserver, which makes the ELASPIC pipeline available through a fast and intuitive interface. The webserver can be used to evaluate the effect of mutations on any protein in the Uniprot database, and allows all predicted results,...

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Identifiers

PMID: 26801957
DOI: 10.1093/bioinformatics/btw031

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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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