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A hybrid deep learning framework for WT or mutant peptide prediction using p53 mutation data.

Statistical applications in genetics and molecular biology - 1 Jan 2026

Patil Manisha R, Bihari Anand

Abstract excerpt

p53 is a tumor suppressor protein that maintains genome integrity. Single amino acid variations (SAVs), especially hotspot mutations (such as R175 and R248), are closely associated with oncogenic transformation and weaken DNA-binding and transcriptional regulatory capabilities. To identify deleterious SAVs for understanding disease mechanisms and key cellular processes, including apoptosis, DNA repair, and cell...

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PMID: 42565475
DOI: 10.1515/sagmb-2025-0078

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