Search Results - "SCHÜLTER, E"
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HIV-1 Subtype Is an Independent Predictor of Reverse Transcriptase Mutation K65R in HIV-1 Patients Treated with Combination Antiretroviral Therapy Including Tenofovir
Published in Antimicrobial Agents and Chemotherapy (01-02-2013)“…Classifications Services AAC Citing Articles Google Scholar PubMed Related Content Social Bookmarking CiteULike Delicious Digg Facebook Google+ Mendeley Reddit…”
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Prediction of response to antiretroviral therapy by human experts and by the EuResist data‐driven expert system (the EVE study)
Published in HIV medicine (01-04-2011)“…Objectives The EuResist expert system is a novel data‐driven online system for computing the probability of 8‐week success for any given pair of HIV‐1 genotype…”
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Transmission of human immunodeficiency virus I drug resistance - a case report. What are the clinical implications?
Published in European journal of medical research (18-05-2010)“…The success of first-line antiretroviral therapy can be challenged by the acquisition of primary drug resistance. Here we report a case where baseline…”
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Evolution of raltegravir resistance during therapy
Published in Journal of antimicrobial chemotherapy (01-07-2009)“…Objectives We investigated the prevalence of raltegravir resistance-associated mutations at baseline and their evolution during raltegravir therapy in patients…”
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Factors influencing the efficacy of rilpivirine in HIV-1 subtype C in low- and middle-income countries
Published in Journal of antimicrobial chemotherapy (01-02-2016)“…The use of the NNRTI rilpivirine in low- and middle-income countries (LMICs) is under debate. The main objective of this study was to provide further clinical…”
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Novel tetra-peptide insertion in Gag-p6 ALIX-binding motif in HIV-1 subtype C associated with protease inhibitor failure in Indian patients
Published in AIDS (London) (24-09-2014)“…A novel tetra-peptide insertion was identified in Gag-p6 ALIX-binding region, which appeared in protease inhibitor failure Indian HIV-1C sequences (odds…”
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Predicting response to antiretroviral treatment by machine learning: the EuResist project
Published in Intervirology (01-01-2012)“…For a long time, the clinical management of antiretroviral drug resistance was based on sequence analysis of the HIV genome followed by estimating drug…”
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Selecting anti-HIV therapies based on a variety of genomic and clinical factors
Published in Bioinformatics (01-07-2008)“…Motivation: Optimizing HIV therapies is crucial since the virus rapidly develops mutations to evade drug pressure. Recent studies have shown that genotypic…”
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Journal Article Conference Proceeding -
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Predicting the Response to Combination Antiretroviral Therapy: Retrospective Validation of geno2pheno-THEO on a Large Clinical Database
Published in The Journal of infectious diseases (01-04-2009)“…BackgroundExpert-based genotypic interpretation systems are standard methods for guiding treatment selection for patients infected with human immunodeficiency…”
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Journal Article Conference Proceeding -
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Comparison of classifier fusion methods for predicting response to anti HIV-1 therapy
Published in PloS one (21-10-2008)“…Analysis of the viral genome for drug resistance mutations is state-of-the-art for guiding treatment selection for human immunodeficiency virus type 1…”
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Time on drug analysis based on real life data
Published in Journal of the International AIDS Society (01-11-2014)“…Introduction The health condition of HIV‐1 infected patients has improved during the last years, but lifelong antiretroviral treatment is still needed. However…”
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Antiretroviral therapy optimisation without genotype resistance testing: a perspective on treatment history based models
Published in PloS one (29-10-2010)“…Although genotypic resistance testing (GRT) is recommended to guide combination antiretroviral therapy (cART), funding and/or facilities to perform GRT may not…”
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TbMP42, a Protein Component of the RNA Editing Complex in African Trypanosomes, Has Endo-Exoribonuclease Activity
Published in Molecular cell (04-03-2005)“…RNA editing in trypanosomatids is catalyzed by a high molecular mass RNP complex, which is only partially characterized. TbMP42 is a 42 kDa protein of unknown…”
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Investigation of expert rule bases, logistic regression, and non―linear machine learning techniques for predicting response to antiretroviral treatment
Published in Antiviral therapy (01-01-2009)“…The extreme flexibility of the HIV type-1 (HIV-1) genome makes it challenging to build the ideal antiretroviral treatment regimen. Interpretation of HIV-1…”
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Superinfection with drug-resistant HIV is rare and does not contribute substantially to therapy failure in a large European cohort
Published in BMC infectious diseases (12-11-2013)“…Superinfection with drug resistant HIV strains could potentially contribute to compromised therapy in patients initially infected with drug-sensitive virus and…”
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Evolution of protease inhibitor resistance in the gag and pol genes of HIV subtype G isolates
Published in Journal of antimicrobial chemotherapy (01-07-2010)“…Objectives To analyse HIV Gag cleavage site (CS) and non-CS mutations in HIV non-B isolates from patients failing antiretroviral therapy. Patients and methods…”
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Efficacy of antiretroviral therapy switch in HIV-infected patients: a 10-year analysis of the EuResist Cohort
Published in Intervirology (01-01-2012)“…Highly active antiretroviral therapy (HAART) has been shown to be effective in many recent trials. However, there is limited data on time trends of HAART…”
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Advantages of predicted phenotypes and statistical learning models in inferring virological response to antiretroviral therapy from HIV genotype
Published in Antiviral therapy (01-01-2009)“…Inferring response to antiretroviral therapy from the viral genotype alone is challenging. The utility of an intermediate step of predicting in vitro drug…”
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Sustaining lamivudine/emtricitabine, abacavir, zidovudine or atazanavir from a previous treatment shows a clinical benefit
Published in ANTIVIRAL THERAPY (2008)Get full text
Conference Proceeding