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Assessment of 13 in silico pathogenicity methods on cancer-related variants.

Computers in biology and medicine - 1 Jun 2022

Yazar Metin, Ozbek Pemra

Abstract excerpt

Single nucleotide variants (SNVs) are single base substitutions that could influence many biological functions in the cell including gene expression, protein folding, and protein-protein interactions among many others. Thus, predictions of functional effects of cancer-related variants are crucial for drug responses and treatment options in clinical oncology. Experimental identification of these effects could be...

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PMID: 35364305
DOI: 10.1016/j.compbiomed.2022.105434

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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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