Results 11 to 20 of about 59,992 (241)

Fitness ranking of individual mutants drives patterns of epistatic interactions in HIV-1. [PDF]

open access: yesPLoS ONE, 2011
Fitness interactions between mutations, referred to as epistasis, can strongly impact evolution. For RNA viruses and retroviruses with their high mutation rates, epistasis may be particularly important to overcome fitness losses due to the accumulation ...
Javier P Martínez   +6 more
doaj   +8 more sources

GenEpi: gene-based epistasis discovery using machine learning [PDF]

open access: yesBMC Bioinformatics, 2020
Background Genome-wide association studies (GWAS) provide a powerful means to identify associations between genetic variants and phenotypes. However, GWAS techniques for detecting epistasis, the interactions between genetic variants associated with ...
Yu-Chuan Chang   +9 more
doaj   +3 more sources

HAMILTONIAN MODEL FOR MULTIDIMENSIONAL EPISTASIS [PDF]

open access: yesInternational Journal of Modern Physics C, 2003
We propose and solve a Hamiltonian model for multidimensional epistatic interactions between beneficial mutations. The model gives rise to either a phase transition between two equilibrium states, without any coexistence, or exhibits a state where hybrid species coexist, with gradual passage from one wild type to another. The transition takes place as
Ayşe Erzan, Ayşe Erzan, Seher Ozcelik
openaire   +6 more sources

Strong Selection Significantly Increases Epistatic Interactions in the Long-Term Evolution of a Protein. [PDF]

open access: yesPLoS Genetics, 2016
Epistatic interactions between residues determine a protein's adaptability and shape its evolutionary trajectory. When a protein experiences a changed environment, it is under strong selection to find a peak in the new fitness landscape.
Aditi Gupta, Christoph Adami
doaj   +6 more sources

Dynamic Epistasis under Varying Environmental Perturbations [PDF]

open access: yes, 2014
Epistasis describes the phenomenon that mutations at different loci do not have independent effects with regard to certain phenotypes. Understanding the global epistatic landscape is vital for many genetic and evolutionary theories. Current knowledge for
Barker, Brandon, Gu, Zhenglong, Xu, Lin
core   +16 more sources

Phosphate ions modulate enzyme activity and epistatic effects in two clavulanic acid-resistant β-lactamase mutants. [PDF]

open access: yesProtein Sci
Abstract Epistasis, the non‐additive effect of mutations, substantially undermines our ability to predict the evolutionary trajectories of enzymes. Epistatic effects are evident in the evolution of serine β‐lactamases, where synergistic mutations can enhance antimicrobial resistance.
Radojković M   +6 more
europepmc   +2 more sources

High-order epistasis shapes evolutionary trajectories. [PDF]

open access: yesPLoS Computational Biology, 2017
High-order epistasis-where the effect of a mutation is determined by interactions with two or more other mutations-makes small, but detectable, contributions to genotype-fitness maps. While epistasis between pairs of mutations is known to be an important
Zachary R Sailer, Michael J Harms
doaj   +1 more source

The causes of epistasis [PDF]

open access: yesProceedings of the Royal Society B: Biological Sciences, 2011
Since Bateson's discovery that genes can suppress the phenotypic effects of other genes, gene interactions—called epistasis—have been the topic of a vast research effort. Systems and developmental biologists study epistasis to understand the genotype–phenotype map, whereas evolutionary biologists recognize the fundamental importance of epistasis for ...
De Visser, J.   +3 more
openaire   +5 more sources

A network model for the correlation between epistasis and genomic complexity. [PDF]

open access: yesPLoS ONE, 2008
The study of genetic interactions (epistasis) is central to the understanding of genome organization and evolution. A general correlation between epistasis and genomic complexity has been recently shown, such that in simpler genomes epistasis is ...
Rafael Sanjuán, Miguel R Nebot
doaj   +1 more source

Comparison of the Accuracy of Epistasis and Haplotype Models for Genomic Prediction of Seven Human Phenotypes

open access: yesBiomolecules, 2023
The accuracy of predicting seven human phenotypes of 3657–7564 individuals using global epistasis effects was evaluated and compared to the accuracy of haplotype genomic prediction using 380,705 SNPs and 10-fold cross-validation studies.
Zuoxiang Liang   +2 more
doaj   +1 more source

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