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Article

Prediction of contact maps with neural networks and correlated mutations.

Protein engineering - 1 Nov 2001

Fariselli P, Olmea O, Valencia A, Casadio R

Abstract excerpt

Contact maps of proteins are predicted with neural network-based methods, using as input codings of increasing complexity including evolutionary information, sequence conservation, correlated mutations and predicted secondary structures. Neural networks are trained on a data set comprising the contact maps of 173 non-homologous proteins as computed from their well resolved three-dimensional structures. Proteins...

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PMID: 11742102
DOI: 10.1093/protein/14.11.835

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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