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Article

Prediction of cancer rescue p53 mutants in silico using Naïve Bayes learning methodology.

Protein and peptide letters - 1 Nov 2013

Ramani R Geetha, Jacob Shomona Gracia

Abstract excerpt

This research is focussed on predicting through Naïve Bayes learning, the possible p53 rescue mutants from amino-acid substitutions at the second, third and fourth site recombination that could reinstate normal p53 activity. The Naïve Bayes probability values of the amino-acid substitutions at the respective site-wise recombination were utilized to formulate the proposed Genetic Mutant Marker Extraction (GMME)...

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Source

Identifiers

PMID: 23772609
DOI: 10.2174/09298665113209990046

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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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