Modeling HIV-1 drug resistance as episodic directional selection
| dc.contributor.author | Murrell, Ben | |
| dc.contributor.author | De Oliveira, Tulio | |
| dc.contributor.author | Seebregts, Chris | |
| dc.contributor.author | Pond, Sergei L. Kosakovsky | |
| dc.contributor.author | Scheffler, Konrad | |
| dc.date.accessioned | 2013-02-25T14:07:10Z | |
| dc.date.available | 2013-02-25T14:07:10Z | |
| dc.date.issued | 2011-05 | |
| dc.description | The original publication is available at www.ploscompbiol.org | en_ZA |
| dc.description.abstract | The evolution of substitutions conferring drug resistance to HIV-1 is both episodic, occurring when patients are on antiretroviral therapy, and strongly directional, with site-specific resistant residues increasing in frequency over time. Whilemethods exist to detect episodic diversifying selection and continuous directional selection, no evolutionary model combining these two properties has been proposed. We present two models of episodic directional selection (MEDSand) which allow the a priori specification of lineages expected to have undergone directional selection. The models infer the sites and target residues that were likely subject to directional selection, using either codon or protein sequences. Compared to its null model of episodic diversifying selection, MEDS provides a superior fit to most sites known to be involved in drug resistance, and neither one test for episodic diversifying selection nor another for constant directional selection are able to detect as many true positives as MEDS and EDEPS while maintaining acceptable levels of false positives. This suggests that episodic directional selection is a better description of the process driving the evolution of drug resistance. | en_ZA |
| dc.description.sponsorship | This research was supported by Europeaid Grant number SANTE/2007/147-790 from the European Commission; BM is supported by the same Europeaid Grant. TdO’s work on this paper was funded by the same Europeaid grant, by the Africa Centre for Health and Population Studies Wellcome Trust Core Grant 082384/Z/07/Z and the grant entitled Swiss-Prot/South Africa: Protein Bioinformatics Resource Development for Important Health-related Pathogens’’ under the Switzerland-South Africa Collaborative Research Program. Funding for the UCSD computing cluster has been provided by the Joint DMS/NIGMS Mathematical Biology Initiative through Grant NSF-0714991 and the National Institutes of Health grants AI47745 and AI74621. HyPhy custom script development was supported by the National Institute Of General Medical Sciences (grant GM093939). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript | en_ZA |
| dc.description.version | Publishers version | en_ZA |
| dc.format.extent | 10 p. : ill. | |
| dc.identifier.citation | Murrell, B. et al. 2012. Modeling HIV-1 drug resistance as episodic directional selection. PLoS Computational Biology, 8(5):1-10. doi:10.1371/journal.pcbi.1002507. | en_ZA |
| dc.identifier.issn | 1553-7358 (online) | |
| dc.identifier.issn | 1553-734X (print) | |
| dc.identifier.other | doi:10.1371/journal.pcbi.1002507 | |
| dc.identifier.uri | http://hdl.handle.net/10019.1/79607 | |
| dc.publisher | PLOS Computational Biology | en_ZA |
| dc.rights.holder | The author holds the copyright | en_ZA |
| dc.subject | HIV infections | en_ZA |
| dc.subject | Drug resistance | en_ZA |
| dc.title | Modeling HIV-1 drug resistance as episodic directional selection | en_ZA |
| dc.type | Article | en_ZA |