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Sensitive detection of structural dynamics using a statistical framework for comparative crystallography

Science Advances(2025)10.1126/sciadv.adj2921Source: DataRank Database

Sensitive detection of structural dynamics using a statistical framework for comparative crystallography is a research paper published in Science Advances (2025). On theSindex it has a DataRank of 0.104. It has been cited 1 time, with 1 citing works in its 1-hop citation network.

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0.104DataRank · unranked

Scored on demand from live citation data

Deposits data Open Access1 citations · 1 citing works in its network

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Linked data & code

pdb

Data availability

Repositories this paper deposited data in (declared in PubMed).

PDB9B7C

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (7 grants)Impact (FWCI 0.28)OA: goldTopics (23)IDs (PubMed, PMC, OpenAlex)Annotations (1)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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DataRank Breakdown

Base Score 100%Citation Network 0%

Base Score Contribution

0.104

From this paper's citation signal

Citation Network Contribution

From 0 citing papers with measurable signal

This paper's DataRank is currently driven only by its base citation score. None of the citing papers had measurable citation signal.

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Authors (5)

Harrison K. Wang ORCID,Margaret A. Klureza ORCID,Jack B. Greisman ORCID,Kevin M. Dalton ORCID,Doeke R. Hekstra ORCID

Live enrichment

PubMed:41337576 PMC:PMC12674120 OpenAlex:https://openalex.org/W4416965420

National Science Foundation

Grant: DGE2140743

National Institutes of Health

Grant: DP2-GM141000

U.S. Department of Energy, Office of Science, Basic Energy Sciences

Grant: DEAC02-76SF00515

NIGMS NIH HHS

Grant: DP2 GM141000

NIGMS NIH HHS

Grant: P41 GM118217

NIGMS NIH HHS

Grant: P30 GM124165

Burroughs Wellcome Fund

FWCI

0.28

Citation Percentile

0.5%

Citation Trend

2026

goldLicense: cc-by

journalhttps://www.science.org/doi/pdf/10.1126/sciadv.adj2921?download=true

publisherhttps://www.science.org/doi/pdf/10.1126/sciadv.adj2921?download=true

publisherhttps://www.science.org/doi/pdf/10.1126/sciadv.adj2921

journalhttps://doi.org/10.1126/sciadv.adj2921

repositoryhttps://pubmed.ncbi.nlm.nih.gov/41337576

Fields of Study

Enzyme Structure and FunctionComputational Drug Discovery MethodsProtein Structure and DynamicsCrystallography, X-RayProteinsProtein ConformationAlgorithmsDeep LearningModels, Molecular

MeSH Terms

Deep LearningAlgorithmsModels, MolecularProtein ConformationProteinsCrystallography, X-Ray

Keywords

ObservableProtein structureFunction (biology)Dynamics (music)Prior probabilityProtein functionBiomolecular structureMolecular dynamics

Sensitive detection of structural dynamics using a statistical framework for comparative crystallography

FAIR Checklist

DataRank Breakdown

Authors (5)

Funding (7 grants)

Impact

Open Access

Topics

Annotations (Europe PMC)