Literature DB >> 15186519

Development of a novel human immunodeficiency virus type 1 subtyping tool, Subtype Analyzer (STAR): analysis of subtype distribution in London.

Catherine V Gale1, Richard Myers, Richard S Tedder, Ian G Williams, Paul Kellam.   

Abstract

We have developed a high throughput computational tool for assigning subtype to HIV-1, based solely on protease and reverse transcriptase (PR-RT) amino acid sequence, generated routinely for clinical assessment of genotypic drug resistance. Subtype-specific profiles were created by generation of position-specific scoring matrices (PSSMs) from multiple amino acids alignments of HIV-1 sequence data from GenBank, phylogenetically divided into subtypes A, AG, B, C, D, F/K, G, H, and J and the separate groups N and O. Query sequences of unknown subtype are aligned with these profiles and a score is derived by comparing each amino acid position in the unknown sequence to the normalized frequency distribution of amino acids at the corresponding positions in the subtype alignments. The highest score is used to assign subtype to the query sequence. Leave one out cross-validation analysis showed the Subtype Analyzer (STAR) was 99% accurate in subtype assignation. STAR can be updated with additional subtype-specific sequence data from sequence databases. STAR was used to classify HIV-1 PR-RT sequences from 843 HIV-1 clinical isolates submitted for drug resistance profiling in London. Within this dataset 26.9% of sequences were classified by STAR as non-B subtypes.

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Year:  2004        PMID: 15186519     DOI: 10.1089/088922204323087697

Source DB:  PubMed          Journal:  AIDS Res Hum Retroviruses        ISSN: 0889-2229            Impact factor:   2.205


  5 in total

1.  Use of sequence data generated in the Bayer Tru Gene genotyping assay to recognize and characterize non-subtype-b human immunodeficiency virus type 1 strains.

Authors:  Diane L Hirigoyen; Charles P Cartwright
Journal:  J Clin Microbiol       Date:  2005-10       Impact factor: 5.948

2.  Phylogenetic and geospatial evaluation of HIV-1 subtype diversity at the largest HIV center in Rhode Island.

Authors:  Philip A Chan; Marissa B Reitsma; Allison DeLong; Bruce Boucek; Amy Nunn; Marco Salemi; Rami Kantor
Journal:  Infect Genet Evol       Date:  2014-04-08       Impact factor: 3.342

3.  Time trends in primary resistance to HIV drugs in the United Kingdom: multicentre observational study.

Authors:  Patricia Cane; Ian Chrystie; David Dunn; Barry Evans; Anna Maria Geretti; Hannah Green; Andrew Phillips; Deenan Pillay; Kholoud Porter; Anton Pozniak; Caroline Sabin; Erasmus Smit; Jonathan Weber; Mark Zuckerman
Journal:  BMJ       Date:  2005-11-18

4.  Classification of HIV-1 sequences using profile Hidden Markov Models.

Authors:  Sanjiv K Dwivedi; Supratim Sengupta
Journal:  PLoS One       Date:  2012-05-18       Impact factor: 3.240

5.  An open-source k-mer based machine learning tool for fast and accurate subtyping of HIV-1 genomes.

Authors:  Stephen Solis-Reyes; Mariano Avino; Art Poon; Lila Kari
Journal:  PLoS One       Date:  2018-11-14       Impact factor: 3.240

  5 in total

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