Pilot corpus: NIH-funded biomedical datasets. Any DOI can be scored on demand — network effects sharpen as coverage grows.

Molecular dynamics and machine learning stratify motion-dependent activity profiles of S-layer destabilizing nanobodies

PNAS Nexus(2024)10.1093/pnasnexus/pgae538Source: DataRank Database

Molecular dynamics and machine learning stratify motion-dependent activity profiles of S-layer destabilizing nanobodies is a research paper published in PNAS Nexus (2024). On theSindex it has a DataRank of 0. It has been cited 2 times.

N/A

0DataRank · unranked

Scored on demand from live citation data

Open Access2 citations

Download PDF

Cite:

DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?

›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (17 grants)Impact (FWCI 0.53)OA: goldTopics (19)IDs (PubMed, OpenAlex)SDGs (2)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

FAIR checklist signals are shown for context only and do not affect DataRank scoring.

Run a calibrated FAIR evaluation for this paper →

We only score data papers we can read in full — never from an abstract alone.

Authors (6)

Adrià Sogues ORCID,Mukund Gurumurthi,Kaylee S Lane,Han Remaut ORCID,Alexander J. Pak ORCID

Live enrichment

PubMed:39660065 OpenAlex:https://openalex.org/W4404727496

National Institutes of Health

Grant: R21-AI168838

National Science Foundation

Grant: DMR-2244331

National Science Foundation

Grant: #2138259

National Science Foundation

Grant: #2138286

National Science Foundation

Grant: #2138307

National Science Foundation

Grant: #2137603

National Science Foundation

Grant: #2138296

FWO Flanders

Grant: G065220N

European Molecular Biology Organization

Grant: ALTF-709-2021

National Science Foundation

Grant: 2244331

REU Site: Undergraduate Research Integrating Computation and Experiment to Create Revolutionary Materials

National Science Foundation

Grant: 2138296

ACO: An Open CI Ecosystem to Advance Scientific Discovery (OpenCI)

National Science Foundation

Grant: 2138307

Track 3: COre National Ecosystem for CyberinfrasTructure (CONECT)

National Science Foundation

Grant: 2137603

Track 4: Advanced CI Coordination Ecosystem: Monitoring and Measurement Services

National Institutes of Health

Grant: 5R21AI168838-02

Multiscale Modeling of B. Anthracis Surface Layer Assembly and Depolymerization by Nanobodies

National Science Foundation

Grant: 2138286

Track 2: Customized Multi-tier Assistance, Training, and Computational Help (MATCH) for End User ACCESS to CI

European Commission

Grant: 101062043

Unveiling the molecular coordination between the cell division machinery and S-layer biogenesis in Bacillus anthracis

National Science Foundation

Grant: 2138259

Track 1: ACCESS Resource Allocations Marketplace and Platform Services (RAMPS)

FWCI

0.53

Citation Percentile

0.7%

Citation Trend

2025

2026

goldLicense: cc-by-nc

journalhttps://doi.org/10.1093/pnasnexus/pgae538

publisherhttps://doi.org/10.1093/pnasnexus/pgae538

publisherhttps://academic.oup.com/pnasnexus/advance-article-pdf/doi/10.1093/pnasnexus/pgae538/60812868/pgae538.pdf

publisherhttps://academic.oup.com/pnasnexus/article-pdf/3/12/pgae538/60987305/pgae538.pdf

repositoryhttps://pubmed.ncbi.nlm.nih.gov/39660065

Fields of Study

Monoclonal and Polyclonal Antibodies ResearchForce Microscopy Techniques and ApplicationsBiochemical and Structural Characterization0301 basic medicine0303 health sciences03 medical and health sciences

Keywords

ParacrystallineMolecular dynamicsBiophysicsDynamics (music)Biomimetic materialsNanotechnologyMaterials scienceChemistryPhysicsCrystallographyBiologyComputational chemistryBiological, Health, and Medical Sciences

Sustainable Development Goals

SDG 0: Peace, Justice and strong institutionsSDG 0: Reduced inequalities