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Drug resistance mutations in HIV: new bioinformatics approaches and challenges
Highlights•Machine learning is increasingly used to predict and understand drug resistance
in HIV.•Phylogenetics helps to track the emergence and spread of HIV drug resistance …
in HIV.•Phylogenetics helps to track the emergence and spread of HIV drug resistance …
A fast likelihood method to reconstruct and visualize ancestral scenarios
The reconstruction of ancestral scenarios is widely used to study the evolution of characters
along phylogenetic trees. One commonly uses the marginal posterior probabilities of the …
along phylogenetic trees. One commonly uses the marginal posterior probabilities of the …
Using machine learning and big data to explore the drug resistance landscape in HIV
L Blassel, A Tostevin… - PLOS Computational …, 2021 - journals.plos.org
Drug resistance mutations (DRMs) appear in HIV under treatment pressure. DRMs are
commonly transmitted to naive patients. The standard approach to reveal new DRMs is to …
commonly transmitted to naive patients. The standard approach to reveal new DRMs is to …
Application of molecular epidemiology in revealing HIV‐1 transmission network and recombination patterns in Tian**, China
Z Hehe, Z Minna, F Qin, N Tielin, F Yi… - Journal of Medical …, 2024 - Wiley Online Library
Using a comprehensive molecular epidemiological approach, we characterized the
transmission dynamics of HIV‐1 among the MSM population in Tian**, China. Our findings …
transmission dynamics of HIV‐1 among the MSM population in Tian**, China. Our findings …
[HTML][HTML] Genetic Diversity and Antiretroviral Resistance in HIV-1-Infected Patients Newly Diagnosed in Cabo Verde
SDV Leal, V Pimentel, P Gonçalves… - Viruses, 2024 - mdpi.com
The high genetic variability of HIV-1 and the emergence of transmitted drug resistance
(TDR) can impact treatment efficacy. In this study, we investigated the prevalent HIV-1 …
(TDR) can impact treatment efficacy. In this study, we investigated the prevalent HIV-1 …
Incorporating alignment uncertainty into Felsenstein's phylogenetic bootstrap to improve its reliability
Motivation Most evolutionary analyses are based on pre-estimated multiple sequence
alignment. Wong et al. established the existence of an uncertainty induced by multiple …
alignment. Wong et al. established the existence of an uncertainty induced by multiple …
Development and validation of a scoring system for the prediction of HIV drug resistance in Hubei province, China
J Yan, W Zhang, H Luo, X Wang… - Frontiers in Cellular and …, 2023 - frontiersin.org
Objective The present study aimed to build and validate a new nomogram-based scoring
system for the prediction of HIV drug resistance (HIVDR). Design and methods Totally 618 …
system for the prediction of HIV drug resistance (HIVDR). Design and methods Totally 618 …
Early presence of HIV-1 subtype C in Washington, DC
Z Grossman, S Rico, K Cone, W Shao… - AIDS Research and …, 2018 - liebertpub.com
The presence of non-B HIV subtypes in the USA has been documented during the epidemic,
although the timing of early introductions of different subtypes remains uncertain. Subtype C …
although the timing of early introductions of different subtypes remains uncertain. Subtype C …
HIV Drug Resistance and Transmission Networks among a justice-involved Population at the time of Community Reentry in Washington, DC
Justice-involved (JI) populations bear a disproportionate burden of HIV infection and are at
risk of poor treatment outcomes. Drug resistance prevalence and emergence, and …
risk of poor treatment outcomes. Drug resistance prevalence and emergence, and …