HIVCoR: A sequence-based tool for predicting HIV-1 CRF01_AE coreceptor usage-Reference-Cited by-同舟云学术

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HIVCoR: A sequence-based tool for predicting HIV-1 CRF01_AE coreceptor usage

Published:2019-06 Issue: Volume:80 Page:419-432
ISSN:1476-9271
Container-title:Computational Biology and Chemistry
language:en
Short-container-title:Computational Biology and Chemistry

Author:

Hongjaisee Sayamon,Nantasenamat Chanin,Carraway Tanawan Samleerat,Shoombuatong Watshara

Funder

Office of Higher Education Commission and the Thailand Research Fund

Faculty of Associated Medical Sciences, Chiang Mai University

Publisher

Elsevier BV

Subject

Computational Mathematics,Organic Chemistry,Biochemistry,Structural Biology

Reference62 articles.

1. Global dispersal pattern of HIV type 1 subtype CRF01_AE: a genetic trace of human mobility related to heterosexual sexual activities centralized in southeast Asia;Angelis;J. Infect. Dis.,2015

2. Exploring the chemical space of influenza neuraminidase inhibitors;Anuwongcharoen;PeerJ,2016

3. The utility of different bioinformatics algorithms for genotypic HIV-1 tropism testing in a large clinical cohort with multiple subtypes;Bartlett;AIDS,2014

4. A new classification for HIV-1;Berger;Nature,1998

5. HIV-1 coreceptor usage prediction without multiple alignments: an application of string kernels;Boisvert;Retrovirology,2008

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