ReviewCurrent opinion in structural biology2018
Inter-residue, inter-protein and inter-family coevolution: bridging the scales.
Review in Current opinion in structural biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 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
33 citing papers in PubMed.
- Evolutionary and physics-guided modulation of CaJournal of molecular modeling · 2026Article
- Accurate protein-protein interactions modeling through physics-informed geometric invariant learning.Communications biology · 2026Article
- High-accuracy protein complex structure modeling based on sequence-derived structure complementarity.Nature communications · 2025Article
- The Historical Evolution and Significance of Multiple Sequence Alignment in Molecular Structure and Function Prediction.Biomolecules · 2024Review
- Pairing interacting protein sequences using masked language modeling.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- GSScore: a novel Graphormer-based shell-like scoring method for protein-ligand docking.Briefings in bioinformatics · 2024Article
- Enhancing coevolutionary signals in protein-protein interaction prediction through clade-wise alignment integration.Scientific reports · 2024Article
- Generating interacting protein sequences using domain-to-domain translation.Bioinformatics (Oxford, England) · 2023Article
- Combining phylogeny and coevolution improves the inference of interaction partners among paralogous proteins.PLoS computational biology · 2023Article
- Chasing long-range evolutionary couplings in the AlphaFold era.Biopolymers · 2023Article
- Exploring the diversity of AVPR2 in Primates and its evolutionary implications.Genetics and molecular biology · 2023Article
- Deciphering polymorphism in 61,157 Escherichia coli genomes via epistatic sequence landscapes.Nature communications · 2022Article
- Machine-learning of complex evolutionary signals improves classification of SNVs.NAR genomics and bioinformatics · 2022Article
- AF2Complex predicts direct physical interactions in multimeric proteins with deep learning.Nature communications · 2022Article
- Modeling the Dynamics of Protein-Protein Interfaces, How and Why?Molecules (Basel, Switzerland) · 2022Review
- Improved prediction of protein-protein interactions using AlphaFold2.Nature communications · 2022Article
- Interaction of client-the scaffold on which FeS clusters are build-with J-domain protein Hsc20 and its evolving Hsp70 partners.Frontiers in molecular biosciences · 2022Review
- Combining cysteine scanning with chemical labeling to map protein-protein interactions and infer bound structure in an intrinsically disordered region.Frontiers in molecular biosciences · 2022Article
- Modeling of protein complexes in CASP14 with emphasis on the interaction interface prediction.Proteins · 2021Article
- Accurate prediction of inter-protein residue-residue contacts for homo-oligomeric protein complexes.Briefings in bioinformatics · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Interacting proteins coevolve at multiple but interconnected scales, from the residue-residue over the protein-protein up to the family-family level. The recent accumulation of enormous amounts of sequence data allows for the development of novel, data-driven computational approaches. Notably, these approaches can bridge scales within a single statistical framework. Although being currently applied mostly to isolated problems on single scales, their immense potential for an evolutionary informed, structural systems biology is steadily emerging.
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.