ReviewPLoS computational biology2012
Bringing molecules back into molecular evolution.
Review in PLoS computational biology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 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.
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Who cites it
36 citing papers in PubMed.
- Site-Specific Structure and Stability Constrained Substitution Models Improve Phylogenetic Inference.Systematic biology · 2026Article
- Article
- Review
- A multi-source molecular network representation model for protein-protein interactions prediction.Scientific reports · 2024Article
- Structure-informed microbial population genetics elucidate selective pressures that shape protein evolution.Science advances · 2023Article
- Consequences of Genetic Recombination on Protein Folding Stability.Journal of molecular evolution · 2023Article
- Protein Function Analysis through Machine Learning.Biomolecules · 2022Review
- Early divergence of translation initiation and elongation factors.Protein science : a publication of the Protein Society · 2022Article
- The evolution of the HIV-1 protease folding stability.Virus evolution · 2022Article
- Methodologies for Microbial Ancestral Sequence Reconstruction.Methods in molecular biology (Clifton, N.J.) · 2022Review
- ProteinEvolverABC: coestimation of recombination and substitution rates in protein sequences by approximate Bayesian computation.Bioinformatics (Oxford, England) · 2021Article
- A regularized functional regression model enabling transcriptome-wide dosage-dependent association study of cancer drug response.PLoS computational biology · 2021Article
- Protein Evolution in the Flaviviruses.Journal of molecular evolution · 2020Article
- Article
- Sequence-structure-function relationships in class I MHC: A local frustration perspective.PloS one · 2020Article
- ProSNEx: a web-based application for exploration and analysis of protein structures using network formalism.Nucleic acids research · 2019Article
- Evaluating Statistical Multiple Sequence Alignment in Comparison to Other Alignment Methods on Protein Data Sets.Systematic biology · 2019Article
- DROIDS 1.20: A GUI-Based Pipeline for GPU-Accelerated Comparative Protein Dynamics.Biophysical journal · 2018Article
- Triplet-Based Codon Organization Optimizes the Impact of Synonymous Mutation on Nucleic Acid Molecular Dynamics.Journal of molecular evolution · 2018Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
Abstract
Much molecular-evolution research is concerned with sequence analysis. Yet these sequences represent real, three-dimensional molecules with complex structure and function. Here I highlight a growing trend in the field to incorporate molecular structure and function into computational molecular-evolution work. I consider three focus areas: reconstruction and analysis of past evolutionary events, such as phylogenetic inference or methods to infer selection pressures; development of toy models and simulations to identify fundamental principles of molecular evolution; and atom-level, highly realistic computational modeling of molecular structure and function aimed at making predictions about possible future evolutionary events.
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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.