Predicting evolution.

scientific article

Predicting evolution. is …
instance of (P31):
scholarly articleQ13442814

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P356DOI10.1038/S41559-017-0077
P698PubMed publication ID28812721

P50authorVille MustonenQ55136878
P2093author name stringAleksandra M Walczak
Michael Lässig
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Initial mutations direct alternative pathways of protein evolutionQ33847781
The inherent mutational tolerance and antigenic evolvability of influenza hemagglutininQ33943327
Nonlinear fitness landscape of a molecular pathwayQ33981298
Temporal constraints on the incorporation of regulatory mutants in evolutionary pathwaysQ34029750
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Exploring the complexity of the HIV-1 fitness landscapeQ34192888
Whole genome, whole population sequencing reveals that loss of signaling networks is the major adaptive strategy in a constant environmentQ34387997
Tug-of-war between driver and passenger mutations in cancer and other adaptive processesQ34409055
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Predicting evolution from the shape of genealogical treesQ34487304
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Empirical fitness landscapes reveal accessible evolutionary pathsQ34606034
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The epidemiological fitness cost of drug resistance in Mycobacterium tuberculosis.Q34999398
Should evolutionary geneticists worry about higher-order epistasis?Q35035921
The value of monitoring to control evolving populationsQ35038019
A biophysical protein folding model accounts for most mutational fitness effects in virusesQ35049281
The evolution of drug resistance and the curious orthodoxy of aggressive chemotherapyQ35092451
Tracking global changes induced in the CD4 T-cell receptor repertoire by immunization with a complex antigen using short stretches of CDR3 protein sequenceQ35219836
Genetic variation and the fate of beneficial mutations in asexual populationsQ35222738
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Whole-genome sequencing of rifampicin-resistant Mycobacterium tuberculosis strains identifies compensatory mutations in RNA polymerase genes.Q35635595
Evolution of DNA specificity in a transcription factor family produced a new gene regulatory moduleQ35660386
Evolving new protein-protein interaction specificity through promiscuous intermediates.Q35811852
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Distribution of fixed beneficial mutations and the rate of adaptation in asexual populationsQ35882382
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Protein stability imposes limits on organism complexity and speed of molecular evolutionQ36092556
The effects of a deleterious mutation load on patterns of influenza A/H3N2's antigenic evolution in humansQ36177833
Clonal interference in the evolution of influenzaQ36268135
Evolutionary paths to antibiotic resistance under dynamically sustained drug selectionQ36500996
DNA microarray technologies for measuring protein-DNA interactionsQ36535309
Biophysical principles predict fitness landscapes of drug resistance.Q36710493
Energy-dependent fitness: a quantitative model for the evolution of yeast transcription factor binding sitesQ36858572
Relative rate and location of intra-host HIV evolution to evade cellular immunity are predictableQ36933059
Evolutionary assembly patterns of prokaryotic genomesQ36959159
Viraemia suppressed in HIV-1-infected humans by broadly neutralizing antibody 3BNC117.Q36961578
Lineage structure of the human antibody repertoire in response to influenza vaccinationQ36975946
Understanding, predicting and manipulating the genotypic evolution of antibiotic resistance.Q36995736
Quorum sensing allows T cells to discriminate between self and nonselfQ37031795
Predicting evolution from genomics: experimental evolution of bacteriophage T7.Q37062923
Capturing the mutational landscape of the beta-lactamase TEM-1.Q37088726
The molecular basis for public T-cell responses?Q37095250
A landscape of pharmacogenomic interactions in cancer.Q37140236
Diversity of immune strategies explained by adaptation to pathogen statisticsQ37161551
How Good Are Statistical Models at Approximating Complex Fitness Landscapes?Q37184676
Macrophage adaptation leads to parallel evolution of genetically diverse Escherichia coli small-colony variants with increased fitness in vivo and antibiotic collateral sensitivityQ37208314
On the (un)predictability of a large intragenic fitness landscapeQ37493368
Antibiotic resistance and its cost: is it possible to reverse resistance?Q37704177
The population genetics of antibiotic resistance: integrating molecular mechanisms and treatment contexts.Q37755968
Bias in the αβ T-cell repertoire: implications for disease pathogenesis and vaccinationQ37837483
Population biological principles of drug-resistance evolution in infectious diseasesQ37849394
Systems-biology approaches for predicting genomic evolutionQ37909892
Universality and predictability in molecular quantitative genetics.Q38167547
P433issue3
P304page(s)77
P577publication date2017-02-21
P1433published inNature Ecology and EvolutionQ39049712
P1476titlePredicting evolution
P478volume1

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