ArticleEvolutionary bioinformatics online2008
Why should we care about molecular coevolution?
Article in Evolutionary bioinformatics online, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
45 citing papers in PubMed.
- EvoWeaver: large-scale prediction of gene functional associations from coevolutionary signals.Nature communications · 2025Article
- Article
- Molecular Evolution of rbcL in Orthotrichales (Bryophyta): Site Variation, Adaptive Evolution, and Coevolutionary Patterns of Amino Acid Replacements.Journal of molecular evolution · 2021Article
- The contributions from the progenitor genomes of the mesopolyploid Brassiceae are evolutionarily distinct but functionally compatible.Genome research · 2021Article
- Analysis of Adaptive Evolution and Coevolution ofEvolutionary bioinformatics online · 2020Article
- Coding-Gene Coevolution Analysis of Rotavirus Proteins: A Bioinformatics and Statistical Approach.Genes · 2019Article
- Detecting genetic interactions using parallel evolution in experimental populations.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2019Article
- Pathogenicity of the H1N1 influenza virus enhanced by functional synergy between the NPV100I and NAD248N pair.PloS one · 2019Article
- Coevolutive, evolutive and stochastic information in protein-protein interactions.Computational and structural biotechnology journal · 2019Article
- Preferential retention of genes from one parental genome after polyploidy illustrates the nature and scope of the genomic conflicts induced by hybridization.PLoS genetics · 2018Article
- Positively selected amino acid replacements within the RuBisCO enzyme of oak trees are associated with ecological adaptations.PloS one · 2017Article
- Rules of co-occurring mutations characterize the antigenic evolution of human influenza A/H3N2, A/H1N1 and B viruses.BMC medical genomics · 2016Article
- Essentiality Is a Strong Determinant of Protein Rates of Evolution during Mutation Accumulation Experiments in Escherichia coli.Genome biology and evolution · 2016Article
- Coevolutionary Analysis Identifies Protein-Protein Interaction Sites between HIV-1 Reverse Transcriptase and Integrase.Virus evolution · 2016Article
- Genetic Variation of Goat Interferon Regulatory Factor 3 Gene and Its Implication in Goat Evolution.PloS one · 2016Article
- Patterns of Gene Conversion in Duplicated Yeast Histones Suggest Strong Selection on a Coadapted Macromolecular Complex.Genome biology and evolution · 2015Article
- Recent positive selection has acted on genes encoding proteins with more interactions within the whole human interactome.Genome biology and evolution · 2015Article
- Analysis of human rotaviruses from a single location over an 18-year time span suggests that protein coadaption influences gene constellations.Journal of virology · 2014Article
- Multidimensional mutual information methods for the analysis of covariation in multiple sequence alignments.BMC bioinformatics · 2014Article
- Quantum coupled mutation finder: predicting functionally or structurally important sites in proteins using quantum Jensen-Shannon divergence and CUDA programming.BMC bioinformatics · 2014Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Non-independent evolution of amino acid sites has become a noticeable limitation of most methods aimed at identifying selective constraints at functionally important amino acid sites or protein regions. The need for a generalised framework to account for non-independence of amino acid sites has fuelled the design and development of new mathematical models and computational tools centred on resolving this problem. Molecular coevolution is one of the most active areas of research, with an increasing rate of new models and methods being developed everyday. Both parametric and non-parametric methods have been developed to account for correlated variability of amino acid sites. These methods have been utilised for detecting phylogenetic, functional and structural coevolution as well as to identify surfaces of amino acid sites involved in protein-protein interactions. Here we discuss and briefly describe these methods, and identify their advantages and limitations.
Indexed as
Identifiers
19204805PMC2614197What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.