ReviewAnnual review of biophysics2024
Ancestral Reconstruction and the Evolution of Protein Energy Landscapes.
Review in Annual review of biophysics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
13 citing papers in PubMed.
- The activity, divergence, and evolutionary degradation of modern-day homing endonucleases and behavior of their reconstructed ancestors.Nucleic acids research · 2026Article
- Walking the tightrope: Balancing opposing cooperativities in dynein assembly.The Journal of biological chemistry · 2026Article
- Bioinformatic assessment of the potential amyloidogenicity of the human and evolutionarily more ancient proteomes.The Biochemical journal · 2026Article
- Transaminases engineering and their cascade systems for natural product synthesis.Applied biochemistry and biotechnology · 2026Review
- Article
- Optimizing Stability in Dynamic Small-Molecule Binding Proteins.Journal of the American Chemical Society · 2026Article
- Protein engineering: status report.Protein engineering, design & selection : PEDS · 2026Review
- Molecular war and peace: the concurrent path to antibiosis and antibiotic resistance.Frontiers in microbiology · 2026Review
- Evolutionary analysis reveals the origin of sodium coupling in glutamate transporters.Nature structural & molecular biology · 2025Article
- Quantification of Membrane Protein Conformational Free Energy from Mutations and a Single Atom.Journal of the American Chemical Society · 2025Article
- How enzyme functions evolve: genetic, structural, and kinetic perspectives.Biophysical reviews · 2025Review
- Ancestral Sequence Reconstruction for Designing Biocatalysts and Investigating their Functional Mechanisms.JACS Au · 2024Review
- Stable monomers in the ancestral sequence reconstruction of the last opisthokont common ancestor of dimeric triosephosphate isomerase.Protein science : a publication of the Protein Society · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
A protein's sequence determines its conformational energy landscape. This, in turn, determines the protein's function. Understanding the evolution of new protein functions therefore requires understanding how mutations alter the protein energy landscape. Ancestral sequence reconstruction (ASR) has proven a valuable tool for tackling this problem. In ASR, one phylogenetically infers the sequences of ancient proteins, allowing characterization of their properties. When coupled to biophysical, biochemical, and functional characterization, ASR can reveal how historical mutations altered the energy landscape of ancient proteins, allowing the evolution of enzyme activity, altered conformations, binding specificity, oligomerization, and many other protein features. In this article, we review how ASR studies have been used to dissect the evolution of energy landscapes. We also discuss ASR studies that reveal how energy landscapes have shaped protein evolution. Finally, we propose that thinking about evolution from the perspective of an energy landscape can improve how we approach and interpret ASR studies.
Indexed as
Identifiers
What 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.