Detalhe da pesquisa
1.
2021 update to HIV-TRePS: a highly flexible and accurate system for the prediction of treatment response from incomplete baseline information in different healthcare settings.
J Antimicrob Chemother;
76(7): 1898-1906, 2021 06 18.
Artigo
em Inglês
| MEDLINE
| ID: mdl-33792714
2.
2018 update to the HIV-TRePS system: the development of new computational models to predict HIV treatment outcomes, with or without a genotype, with enhanced usability for low-income settings.
J Antimicrob Chemother;
73(8): 2186-2196, 2018 08 01.
Artigo
em Inglês
| MEDLINE
| ID: mdl-29889249
3.
An update to the HIV-TRePS system: the development and evaluation of new global and local computational models to predict HIV treatment outcomes, with or without a genotype.
J Antimicrob Chemother;
71(10): 2928-37, 2016 10.
Artigo
em Inglês
| MEDLINE
| ID: mdl-27330070
4.
An update to the HIV-TRePS system: the development of new computational models that do not require a genotype to predict HIV treatment outcomes.
J Antimicrob Chemother;
69(4): 1104-10, 2014 Apr.
Artigo
em Inglês
| MEDLINE
| ID: mdl-24275116
5.
Progress in basic and clinical research on HIV resistance: report on the XVIII International HIV Drug Resistance Workshop.
Antivir Ther;
14(7): 1015-37, 2009.
Artigo
em Inglês
| MEDLINE
| ID: mdl-19918107
6.
Predicting Virological Response to HIV Treatment Over Time: A Tool for Settings With Different Definitions of Virological Response.
J Acquir Immune Defic Syndr;
81(2): 207-215, 2019 06 01.
Artigo
em Inglês
| MEDLINE
| ID: mdl-30865186
7.
Broad advances in understanding HIV resistance to antiretrovirals: report on the XVII International HIV Drug Resistance Workshop.
Antivir Ther;
13(8): 1097-113, 2008.
Artigo
em Inglês
| MEDLINE
| ID: mdl-19195337
8.
Potential impact of a free online HIV treatment response prediction system for reducing virological failures and drug costs after antiretroviral therapy failure in a resource-limited setting.
Biomed Res Int;
2013: 579741, 2013.
Artigo
em Inglês
| MEDLINE
| ID: mdl-24175292
9.
The use of computational models to predict response to HIV therapy for clinical cases in Romania.
Germs;
2(1): 6-11, 2012 Mar 01.
Artigo
em Inglês
| MEDLINE
| ID: mdl-24432257
10.
HIV and hepatitis virus resistance to antivirals: review of data from the XIX International HIV and Hepatitis Virus Drug Resistance Workshop and curative strategies.
Antivir Ther;
16(2): 263-86, 2011.
Artigo
em Inglês
| MEDLINE
| ID: mdl-21447877
11.
The development of an expert system to predict virological response to HIV therapy as part of an online treatment support tool.
AIDS;
25(15): 1855-63, 2011 Sep 24.
Artigo
em Inglês
| MEDLINE
| ID: mdl-21785323
12.
Clinical evaluation of the potential utility of computational modeling as an HIV treatment selection tool by physicians with considerable HIV experience.
AIDS Patient Care STDS;
25(1): 29-36, 2011 Jan.
Artigo
em Inglês
| MEDLINE
| ID: mdl-21214377
13.
Influence of naturally occurring insertions in the fingers subdomain of human immunodeficiency virus type 1 reverse transcriptase on polymerase fidelity and mutation frequencies in vitro.
J Gen Virol;
87(Pt 2): 419-428, 2006 Feb.
Artigo
em Inglês
| MEDLINE
| ID: mdl-16432030
14.
Extent of cross-resistance between agents used to treat human immunodeficiency virus type 1 infection in clinically derived isolates.
Antimicrob Agents Chemother;
46(3): 909-12, 2002 Mar.
Artigo
em Inglês
| MEDLINE
| ID: mdl-11850286
15.
Effects of dipeptide insertions between codons 69 and 70 of human immunodeficiency virus type 1 reverse transcriptase on primer unblocking, deoxynucleoside triphosphate inhibition, and DNA chain elongation.
J Virol;
77(6): 3871-7, 2003 Mar.
Artigo
em Inglês
| MEDLINE
| ID: mdl-12610164
16.
Broad nucleoside-analogue resistance implications for human immunodeficiency virus type 1 reverse-transcriptase mutations at codons 44 and 118.
J Infect Dis;
185(7): 898-904, 2002 Apr 01.
Artigo
em Inglês
| MEDLINE
| ID: mdl-11920313
17.
Comparative analysis of two commercial phenotypic assays for drug susceptibility testing of human immunodeficiency virus type 1.
J Clin Microbiol;
40(1): 31-5, 2002 Jan.
Artigo
em Inglês
| MEDLINE
| ID: mdl-11773089