AIMC Topic: HIV-1
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What Is the most Important for Elite Control: Genetic Background of Patient, Genetic Background of Partner, both or neither? Description of Complete Natural History within a Couple of MSM.
EBioMedicine
Dec 7, 2017
BACKGROUND: We describe a homosexual man who strongly controlled HIV-1 for ten years despite lack of protective genetic background.
Improving fold resistance prediction of HIV-1 against protease and reverse transcriptase inhibitors using artificial neural networks.
BMC bioinformatics
Aug 15, 2017
BACKGROUND: Drug resistance in HIV treatment is still a worldwide problem. Predicting resistance to antiretrovirals (ARVs) before starting any treatment is important. Prediction accuracy is essential, as low-accuracy predictions increase the risk of ...
A machine learning approach for viral genome classification.
BMC bioinformatics
Apr 11, 2017
BACKGROUND: Advances in cloning and sequencing technology are yielding a massive number of viral genomes. The classification and annotation of these genomes constitute important assets in the discovery of genomic variability, taxonomic characteristic...
Prediction of HIV-1 protease cleavage site using a combination of sequence, structural, and physicochemical features.
BMC bioinformatics
Dec 23, 2016
BACKGROUND: The human immunodeficiency virus type 1 (HIV-1) aspartic protease is an important enzyme owing to its imperative part in viral development and a causative agent of deadliest disease known as acquired immune deficiency syndrome (AIDS). Dev...
Learning the Relationship between the Primary Structure of HIV Envelope Glycoproteins and Neutralization Activity of Particular Antibodies by Using Artificial Neural Networks.
International journal of molecular sciences
Oct 11, 2016
The dependency between the primary structure of HIV envelope glycoproteins (ENV) and the neutralization data for given antibodies is very complicated and depends on a large number of factors, such as the binding affinity of a given antibody for a giv...
Paraconsistents artificial neural networks applied to the study of mutational patterns of the F subtype of the viral strains of HIV-1 to antiretroviral therapy.
Anais da Academia Brasileira de Ciencias
Mar 4, 2016
The high variability of HIV-1 as well as the lack of efficient repair mechanisms during the stages of viral replication, contribute to the rapid emergence of HIV-1 strains resistant to antiretroviral drugs. The selective pressure exerted by the drug ...
Efavirenz pharmacogenetics in a cohort of Italian patients.
International journal of antimicrobial agents
Dec 18, 2015
The pharmacogenetics and pharmacokinetics of efavirenz (EFV) have been widely studied, although data in the Italian population are limited. Single nucleotide polymorphisms (SNPs) in the CYP2B6 gene have been associated with increased EFV plasma conce...
Use of Dried Plasma Spots for HIV-1 Viral Load Determination and Drug Resistance Genotyping in Mexican Patients.
BioMed research international
Dec 8, 2015
Monitoring antiretroviral therapy using measurements of viral load (VL) and the genotyping of resistance mutations is not routinely performed in low- to middle-income countries because of the high costs of the commercial assays that are used. The ana...
Measurement of viral load by the automated Abbott real-time HIV-1 assay using dried blood spots collected and processed in Malawi and Mozambique.
South African medical journal = Suid-Afrikaanse tydskrif vir geneeskunde
Nov 8, 2015
BACKGROUND: The use of dried blood spots (DBS) for HIV-1 viral load quantification can greatly improve access to viral monitoring for HIV-infected patients receiving treatment in resource-limited settings.
Ligand-Based Virtual Screening in a Search for Novel Anti-HIV-1 Chemotypes.
Journal of chemical information and modeling
Oct 9, 2015
In a search for new anti-HIV-1 chemotypes, we developed a multistep ligand-based virtual screening (VS) protocol combining machine learning (ML) methods with the privileged structures (PS) concept. In its learning step, the VS protocol was based on H...
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