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Article

Prediction of high-risk types of human papillomaviruses using statistical model of protein "sequence space".

Computational and mathematical methods in medicine - 1 Jan 2015

Wang Cong, Hai Yabing, Liu Xiaoqing, Liu Nanfang, Yao Yuhua, He Pingan, Dai Qi

Abstract excerpt

Discrimination of high-risk types of human papillomaviruses plays an important role in the diagnosis and remedy of cervical cancer. Recently, several computational methods have been proposed based on protein sequence-based and structure-based information, but the information of their related proteins has not been used until now. In this paper, we proposed using protein "sequence space" to explore this information...

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Identifiers

PMID: 25972913
DOI: 10.1155/2015/756345
PMCID: PMC4418008

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 5 Sept 2026. Manifest publication-graph-cohort-2026-09-05.1.

Source receipt: pubmed, retrieved 5 Sept 2026.

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