ArticleProceedings of the National Academy of Sciences of the United States of America2018
Eigenvector centrality for characterization of protein allosteric pathways.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 93 papers, 1 of them a synthesis that pooled it.
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
93 citing papers in PubMed, 1 synthesis or guideline pooled it, 257 citations in OpenAlex.
- Time Series Analysis of SARS-CoV-2 Genomes and Correlations among Highly Prevalent Mutations.Microbiology spectrum · 2022Pooled it
- Network analysis of correlated conformational dynamics across the evolution of influenza A virus NS1.bioRxiv : the preprint server for biology · 2026Article
- Identification of Key Residues in Allosteric Signaling of Photoactivated Adenylyl Cyclase.bioRxiv : the preprint server for biology · 2026Article
- COVID-19 transmission dynamics: age-specific patterns and super spreaders in South Korea.BMC public health · 2026Article
- Boosting Reversible Photocontrol of a Photoxenase by an Engineered Conformational Shift.Angewandte Chemie (International ed. in English) · 2026Article
- Framework for Quantifying the Efficiency of Competing Signal Transmission Modes in Proteins.Journal of the American Chemical Society · 2026Article
- Evaluating global measures of network centralization: Axiomatic and numerical assessments.PloS one · 2026Article
- Chemophysical Characterization of Carotenoproteins From Crustacean Shell Waste for Pharmaceutical Applications.International journal of food science · 2026Article
- Distal Mutations Rewire Allosteric Networks to Control Substrate Specificity in PTP1B.Biochemistry · 2025Article
- Clustering and Analyzing Ensembles of Residue Interaction Networks from Molecular Dynamics Simulations.Journal of chemical information and modeling · 2025Article
- Novel eigenvector centrality indices for octane isomers to explore their physicochemical properties.Scientific reports · 2025Article
- Design Rules for Expanding PAM Compatibility in CRISPR-Cas9 from the VQR, VRER and EQR variants.bioRxiv : the preprint server for biology · 2025Article
- Mapping allosteric rewiring in related protein structures from collections of crystallographic multiconformer models.bioRxiv : the preprint server for biology · 2025Article
- Subtle Changes at the RBD/hACE2 Interface During SARS-CoV-2 Variant Evolution: A Molecular Dynamics Study.Biomolecules · 2025Article
- Article
- MMFuncPhos: A Multi-Modal Learning Framework for Identifying Functional Phosphorylation Sites and Their Regulatory Types.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Analyzing Information Exchange in Parkinson's Disease via Eigenvector Centrality: A Source-Level Magnetoencephalography Study.Journal of clinical medicine · 2025Article
- Deciphering the structural consequences of R83 and R152 methylation on DNA polymerase β using molecular modeling.PloS one · 2025Article
- Social context restructures behavioral syntax in mice.Frontiers in behavioral neuroscience · 2025Article
- Allosteric modulation of Plasmodium falciparum Isoleucyl tRNA synthetase by South African natural compounds.PloS one · 2025Article
33 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 6 institutions in 4 countries.
Funding
Abstract
Determining the principal energy-transfer pathways responsible for allosteric communication in biomolecules remains challenging, partially due to the intrinsic complexity of the systems and the lack of effective characterization methods. In this work, we introduce the eigenvector centrality metric based on mutual information to elucidate allosteric mechanisms that regulate enzymatic activity. Moreover, we propose a strategy to characterize the range of correlations that underlie the allosteric processes. We use the V-type allosteric enzyme imidazole glycerol phosphate synthase (IGPS) to test the proposed methodology. The eigenvector centrality method identifies key amino acid residues of IGPS with high susceptibility to effector binding. The findings are validated by solution NMR measurements yielding important biological insights, including direct experimental evidence for interdomain motion, the central role played by helix h[Formula: see text], and the short-range nature of correlations responsible for the allosteric mechanism. Beyond insights on IGPS allosteric pathways and the nature of residues that could be targeted by therapeutic drugs or site-directed mutagenesis, the reported findings demonstrate the eigenvector centrality analysis as a general cost-effective methodology to gain fundamental understanding of allosteric mechanisms at the molecular level.
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.