Exploring the complexity of the HIV-1 fitness landscape.
about
Stochastic simulations suggest that HIV-1 survives close to its error thresholdRecombination accelerates adaptation on a large-scale empirical fitness landscape in HIV-1Estimating HIV-1 fitness characteristics from cross-sectional genotype dataSteering Evolution with Sequential Therapy to Prevent the Emergence of Bacterial Antibiotic ResistanceStrong Selection Significantly Increases Epistatic Interactions in the Long-Term Evolution of a ProteinAdaptive Landscape by Environment Interactions Dictate Evolutionary Dynamics in Models of Drug ResistanceRate of adaptation in sexuals and asexuals: a solvable model of the Fisher-Muller effect.Spin models inferred from patient-derived viral sequence data faithfully describe HIV fitness landscapesInferring fitness landscapes by regression produces biased estimates of epistasis.Virulence and pathogenesis of HIV-1 infection: an evolutionary perspectiveTranslating HIV sequences into quantitative fitness landscapes predicts viral vulnerabilities for rational immunogen design.Eight challenges in phylodynamic inference.Genotype to phenotype mapping and the fitness landscape of the E. coli lac promoter.A framework for inferring fitness landscapes of patient-derived viruses using quasispecies theory.A tortoise-hare pattern seen in adapting structured and unstructured populations suggests a rugged fitness landscape in bacteriaFrom System-Wide Differential Gene Expression to Perturbed Regulatory Factors: A Combinatorial Approach.The Context-Dependence of Mutations: A Linkage of Formalisms.Beyond the Hypercube: Evolutionary Accessibility of Fitness Landscapes with Realistic Mutational Networks.Experimental Estimation of the Effects of All Amino-Acid Mutations to HIV's Envelope Protein on Viral Replication in Cell CultureRunning loose or getting lost: how HIV-1 counters and capitalizes on APOBEC3-induced mutagenesis through its Vif proteinPredictability of evolution depends nonmonotonically on population sizeAdaptation in protein fitness landscapes is facilitated by indirect pathsHow Good Are Statistical Models at Approximating Complex Fitness Landscapes?Is HIV short-sighted? Insights from a multistrain nested model.Dynamics and constraints of enzyme evolution.Empirical fitness landscapes and the predictability of evolution.Effect of host species on the topography of fitness landscape for a plant RNA virus.The impact of high-order epistasis in the within-host fitness of a positive-sense plant RNA virus.Realistic three dimensional fitness landscapes generated by self organizing maps for the analysis of experimental HIV-1 evolution.Fitness valleys constrain HIV-1's adaptation to its secondary chemokine coreceptor.Mapping mutational effects along the evolutionary landscape of HIV envelope.Predicting evolution.Molecular evolution between chemistry and biology : The interplay of competition, cooperation, and mutation.On the networked architecture of genotype spaces and its critical effects on molecular evolution
P2860
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P2860
Exploring the complexity of the HIV-1 fitness landscape.
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2012 nî lūn-bûn
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2012 թուականի Մարտին հրատարակուած գիտական յօդուած
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2012 թվականի մարտին հրատարակված գիտական հոդված
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2012年の論文
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2012年論文
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2012年論文
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2012年論文
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2012年論文
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2012年論文
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name
Exploring the complexity of the HIV-1 fitness landscape.
@ast
Exploring the complexity of the HIV-1 fitness landscape.
@en
Exploring the complexity of the HIV-1 fitness landscape.
@nl
type
label
Exploring the complexity of the HIV-1 fitness landscape.
@ast
Exploring the complexity of the HIV-1 fitness landscape.
@en
Exploring the complexity of the HIV-1 fitness landscape.
@nl
prefLabel
Exploring the complexity of the HIV-1 fitness landscape.
@ast
Exploring the complexity of the HIV-1 fitness landscape.
@en
Exploring the complexity of the HIV-1 fitness landscape.
@nl
P2093
P2860
P50
P1433
P1476
Exploring the complexity of the HIV-1 fitness landscape.
@en
P2093
Jeannette M Whitcomb
Mojgan Haddad
Trevor Hinkley
P2860
P304
P356
10.1371/JOURNAL.PGEN.1002551
P577
2012-03-08T00:00:00Z