Published in Bioinformatics on January 01, 2003
Predicting Bevirimat resistance of HIV-1 from genotype. BMC Bioinformatics (2010) 1.30
Involvement of novel human immunodeficiency virus type 1 reverse transcriptase mutations in the regulation of resistance to nucleoside inhibitors. J Virol (2006) 1.28
Using data-driven rules to predict mortality in severe community acquired pneumonia. PLoS One (2014) 1.06
Machine learning integration for predicting the effect of single amino acid substitutions on protein stability. BMC Struct Biol (2009) 0.98
Proteochemometric modeling of HIV protease susceptibility. BMC Bioinformatics (2008) 0.97
Computational mutation scanning and drug resistance mechanisms of HIV-1 protease inhibitors. J Phys Chem B (2010) 0.91
A Rough Set-Based Model of HIV-1 Reverse Transcriptase Resistome. Bioinform Biol Insights (2009) 0.90
A multifaceted analysis of HIV-1 protease multidrug resistance phenotypes. BMC Bioinformatics (2011) 0.89
Improved Bevirimat resistance prediction by combination of structural and sequence-based classifiers. BioData Min (2011) 0.88
Mapping protease inhibitor resistance to human immunodeficiency virus type 1 sequence polymorphisms within patients. J Virol (2007) 0.85
Personalized prediction of EGFR mutation-induced drug resistance in lung cancer. Sci Rep (2013) 0.84
Hybrid-genetic algorithm based descriptor optimization and QSAR models for predicting the biological activity of Tipranavir analogs for HIV protease inhibition. J Mol Graph Model (2010) 0.81
Prediction of HIV drug resistance from genotype with encoded three-dimensional protein structure. BMC Genomics (2014) 0.81
Sequence and structure based models of HIV-1 protease and reverse transcriptase drug resistance. BMC Genomics (2013) 0.80
Scoring methods for building genotypic scores: an application to didanosine resistance in a large derivation set. PLoS One (2013) 0.80
Predictive models for maximum recommended therapeutic dose of antiretroviral drugs. Comput Math Methods Med (2012) 0.79
Investigation of Super Learner Methodology on HIV-1 Small Sample: Application on Jaguar Trial Data. AIDS Res Treat (2012) 0.77
Machine learning and systems genomics approaches for multi-omics data. Biomark Res (2017) 0.75
Multidimensional Integrative Genomics Approaches to Dissecting Cardiovascular Disease. Front Cardiovasc Med (2017) 0.75
Application of Radial Basis Function Network Tool for Correlation of CD4+ Count with Plasma Viral Load in HIV-Seropositive Individuals. J Clin Diagn Res (2016) 0.75
Use of the l1 norm for selection of sparse parameter sets that accurately predict drug response phenotype from viral genetic sequences. AMIA Annu Symp Proc (2005) 0.75
HIV Drug-Resistant Patient Information Management, Analysis, and Interpretation. JMIR Res Protoc (2012) 0.75
Improving fold resistance prediction of HIV-1 against protease and reverse transcriptase inhibitors using artificial neural networks. BMC Bioinformatics (2017) 0.75