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Article

Predicting the transactivation activity of p53 missense mutants using a four-body potential score derived from Delaunay tessellations.

Human mutation - 1 Feb 2006

Mathe Ewy, Olivier Magali, Kato Shunsuke, Ishioka Chikashi, Vaisman Iosif, Hainaut Pierre

Abstract excerpt

We describe a novel statistical scoring method based on a computational geometry approach to predict the functional impact (transactivation activity) of missense mutations in the DNA-binding domain (DBD) of the tumor suppressor TP53, which is the most frequently mutated gene in human cancer. Residual scores (RS) for each residue were calculated to reflect differences in the compositional preferences of four...

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PMID: 16395672
DOI: 10.1002/humu.20284

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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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