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Article

Automated prediction of HIV drug resistance from genotype data.

BMC bioinformatics - 31 Aug 2016

Shen ChenHsiang, Yu Xiaxia, Harrison Robert W, Weber Irene T

Abstract excerpt

BACKGROUND: HIV/AIDS is a serious threat to public health. The emergence of drug resistance mutations diminishes the effectiveness of drug therapy for HIV/AIDS. Developing a computational prediction of drug resistance phenotype will enable efficient and timely selection of the best treatment regimens. RESULTS: A unified encoding of protein sequence and structure was used as the feature vector for predicting...

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Share to Anti-HIV Agents
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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Drug Resistance, Viral

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Share to HIV Reverse Transcriptase

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Source

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Identifiers

PMID: 27586700
DOI: 10.1186/s12859-016-1114-6
PMCID: PMC5009519

Provenance

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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