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Article

Predicting positive p53 cancer rescue regions using Most Informative Positive (MIP) active learning.

PLoS computational biology - 1 Sept 2009

Danziger Samuel A, Baronio Roberta, Ho Lydia, Hall Linda, Salmon Kirsty, Hatfield G Wesley, Kaiser Peter, Lathrop Richard H

Abstract excerpt

Many protein engineering problems involve finding mutations that produce proteins with a particular function. Computational active learning is an attractive approach to discover desired biological activities. Traditional active learning techniques have been optimized to iteratively improve classifier accuracy, not to quickly discover biologically significant results. We report here a novel active learning...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Source

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Identifiers

PMID: 19756158
DOI: 10.1371/journal.pcbi.1000498
PMCID: PMC2742196

Genes

MIP

Provenance

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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