HIV

SIRA-HIV - A User-friendly System to Evaluate HIV-1 Drug Resistance from Next-generation Sequencing Data

Evaluating next-generation sequencing (NGS) data requires an extensive knowledge of bioinformatics and programming commands, which could limit the studies in this area. We propose a user-friendly system to analyse raw NGS data from HIV-1 patient …

Development of HIV-1 Coreceptor Tropism Classifiers - An Approach to Improve X4 and R5X4 Viruses Prediction

The pathway of human immunodeficiency virus (HIV) infection depends on the composition of a 35-amino acid variable region in its envelope, known as the V3 loop. Since this discovery, many tools have been developed to diagnose and predict viral …

Logistic Regression Classifiers in the Analysis of HIV-1 Use of CCR5 and CXCR4 Coreceptors

The development of HIV coreceptor antagonists—such as maraviroc—has made coreceptor use diagnosis mandatory for each patient in the clinical setting. Technical issues presented by Trofile™, the gold standard phenotypic assay, hindered its use as a …

Desempenho de ferramentas genotípicas na predição de tropismo dos subtipos C e F do HIV-1

Bolsista de iniciação científica - Rita de Cássia Menezes Soares (Finalizado)

Modelos de predição de resistência do HIV-1 aos inibidores da integrase

Bolsista de iniciação científica - Amanda Soares Rebelo de Lanna (Concluído)

Ensemble Classifiers for Predicting HIV-1 Resistance from Three Rule-Based Genotypic Resistance Interpretation Systems

Resistance to antiretrovirals (ARVs) is a major problem faced by HIV-infected individuals. Different rule-based algorithms were developed to infer HIV-1 susceptibility to antiretrovirals from genotypic data. However, there is discordance between …

Lopinavir Resistance Classification with Imbalanced Data Using Probabilistic Neural Networks

Resistance to antiretroviral drugs has been a major obstacle for long-lasting treatment of HIV-infected patients. The development of models to predict drug resistance is recognized as useful for helping the decision of the best therapy for each HIV+ …

Logistic Regression Models for Predicting Resistance to HIV Protease Inhibitor Nelfinavir

The development of models to predict the resistance to the antiretroviral drugs can be useful in making a decision regarding the best therapy for HIV+ individuals. This study developed predictive models of resistance to the protease inhibitor …

Probabilistic Neural Network for Predicting Resistance to HIV-Protease Inhibitor Nelfinavir

Resistance to antiretroviral drugs has been a major obstacle for a long-lasting treatment of HIV infected patients. The development of models to predict drug resistance is already recognized as useful for helping the decision making process regarding …

Desempenho do exame citológico e da captura híbrida II no rastreamento de lesões intraepiteliais escamosas de alto grau em mulheres HIV+

As lesões intraepiteliais escamosas de alto grau (HSIL) são precursoras do câncer do colo do útero, com maior risco de ocorrência e desenvolvimento em mulheres HIV+. Neste trabalho, estimamos e comparamos o desempenho do exame citológico e da captura …