Sequence analysis Estimation of an in vivo fitness landscape experienced by HIV-1 under drug selective pressure useful for prediction of drug resistance evolution during treatment

No abstract is available for this paper.

• Publication year

  2017

• Venue

  Unknown venue

• Publication date

  Unknown publication date

• Fields of study

  Not labeled

• Identifiers

  No identifiers available.

• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• CONFLICT OF INTEREST: None declared.

  2013cited by this paper
• Interpreting resistance data for HIV-1 therapy management--know the limitations.

  2006cited by this paper
• Analysis of HIV-1 pol sequences using Bayesian Networks: implications for drug resistance

  2006influential reference
• Update of the drug resistance mutations in HIV-1: Fall 2006.

  2006cited by this paper
• Data and text mining Computational methods for the design of effective therapies against drug resistant HIV strains

  2005cited by this paper
• Evolution on distributive lattices.

  2005cited by this paper
• An automated genotyping system for analysis of HIV-1 and other microbial sequences

  2005cited by this paper
• Estimating HIV evolutionary pathways and the genetic barrier to drug resistance.

  2005cited by this paper
• Computational methods for the design of effective therapies against drug resistant HIV strains

  2005cited by this paper
• Update of the drug resistance mutations in HIV-1: Fall 2005.

  2005cited by this paper
• Learning Multiple Evolutionary Pathways from Cross-Sectional Data

  2004cited by this paper
• The contribution of epistasis to the architecture of fitness in an RNA virus.

  2004cited by this paper
• Updated European Recommendations for the Clinical Use of HIV Drug Resistance Testing

  2004cited by this paper
• B-Course: A Web-Based Tool for Bayesian and Causal Data Analysis

  2002cited by this paper
• Genotypic Testing for Human Immunodeficiency Virus Type 1 Drug Resistance

  2002cited by this paper
• A Genotypic Drug Resistance Interpretation Algorithm that Significantly Predicts Therapy Response in HIV-1-Infected Patients

  2001cited by this paper
• Human Immunodeficiency Virus Reverse Transcriptase and Protease Sequence Database: an expanded data model integrating natural language text and sequence analysis programs

  2001cited by this paper
• PAUP* Phylogenetic analysis using parsimony (*and other methods) Version 4

  2000cited by this paper
• Linkage disequilibrium test implies a large effective population number for HIV in vivo.

  1999cited by this paper
• Managing resistance to anti-HIV drugs: an important consideration for effective disease management.

  1999cited by this paper
• Stochastic processes strongly influence HIV-1 evolution during suboptimal protease-inhibitor therapy.

  1998cited by this paper
• Lower in vivo mutation rate of human immunodeficiency virus type 1 than that predicted from the fidelity of purified reverse transcriptase

  1995cited by this paper
• Discovering structural correlations in α‐helices

  1994cited by this paper
• Mathematical population genetics, Biomathematics.

  1981cited by this paper

• Inference of clonal selection in cancer populations using single-cell sequencing data

  2018cites this paper
• Key issues review: evolution on rugged adaptive landscapes

  2017influential citation
• On the construction and interpretation of fitness landscapes for HIV: a computational perspective

  2017cites this paper
• Measuring Selection Across HIV Gag: Combining Physico-Chemistry and Population Genetics

  2017cites this paper
• Predicting HIV resistance with the 3D neighborhood kernel

  2016cites this paper
• Realistic Three Dimensional Fitness Landscapes Generated by Self Organizing Maps for the Analysis of Experimental HIV-1 Evolution

  2014cites this paper
• HIV-1 drug resistance: where do polymorphisms fit in?

  2013cites this paper
• Correction: Antiretroviral Therapy Optimisation without Genotype Resistance Testing: A Perspective on Treatment History Based Models

  2011cites this paper
• ESTIMATING A FITNESS LANDSCAPE EXPERIENCED BY HIV-1 UNDER SELECTIVE PRESSURE

  2010cites this paper
• Distinguishing epidemiological dependent from treatment (resistance) dependent HIV mutations: problem statement

  2008cites this paper
• Multi-Science Decision Support for HIV Drug Resistance Treatment

  2008cites this paper