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Modeling SARS‐CoV‐2 proteins in the CASP‐commons experiment

Proteins Structure Function and Bioinformatics(2021)10.1002/prot.26231Source: DataRank Database

Modeling SARS‐CoV‐2 proteins in the CASP‐commons experiment is a dataset published in Proteins Structure Function and Bioinformatics (2021). On theSindex it has a DataRank of 1.1, placing it in the top 19.1% of the data-sharing corpus. It has been cited 26 times, with 18 citing works in its 1-hop citation network.

Top 19%percentile

1.1DataRank

Ranks in the top 19% for downstream scientific impact

Data paper Open Access26 citations · 18 citing works in its network

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Linked data & code

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (43 grants)Impact (FWCI 1.85)OA: bronzeTopics (51)IDs (PubMed, PMC, OpenAlex)Annotations (1)SDGs (1)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (1/3)

Dataset classification

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DataRank Breakdown

Base Score 47%Citation Network 53%

Base Score Contribution

0.494

From this paper's citation signal

Citation Network Contribution

0.569

From 14 citing papers with measurable signal

Learn more about DataRank methodology →

Top 5 citers driving the network score

Ranked by each citer's contribution to N(p) — log1p(C_q) divided by its reference count — out of 18 citers.

Applying and improving AlphaFold at CASP14
Proteins Structure Function and Bioinformatics2021425 citations24 referencesContributes 0.252
Progress at protein structure prediction, as seen in CASP15
Current Opinion in Structural Biology2023104 citations53 referencesContributes 0.088
Effect of an Amyloidogenic SARS-COV-2 Protein Fragment on α-Synuclein Monomers and Fibrils
The Journal of Physical Chemistry B202231 citations51 referencesContributes 0.068
Human Amylin in the Presence of SARS-COV-2 Protein Fragments
ACS Omega202313 citations43 referencesContributes 0.061
Beyond AlphaFold2: The Impact of AI for the Further Improvement of Protein Structure Prediction
Methods in molecular biology202421 citations73 referencesContributes 0.042

Authors (11)

John Moult ORCID,W.M. Billings ORCID,Dennis Della Corte ORCID,Krzysztof Fidelis ORCID,Sohee Kwon ORCID

Live enrichment

PubMed:34462960 PMC:PMC8616790 OpenAlex:https://openalex.org/W3196998750

National Science Foundation

Grant: DBI2003635

U.S. Department of Energy

Grant: DE-SC0021303

U.S. Department of Energy

Grant: DE‐SC0020400

National Science Foundation

Grant: MCB1925643

NIGMS NIH HHS

Grant: R01 GM133840

NIGMS NIH HHS

Grant: R35 GM138146

Narodowe Centrum Nauki

Grant: UMO-2017/25/B/ST4/01026

National Science Foundation

Grant: DBI 1759934

U.S. Department of Energy

Grant: DE‐SC0021303

ICM, University of Warsaw

Grant: GA76-11

National Institutes of Health

Grant: GM093123

NIGMS NIH HHS

Grant: R01 GM093123

NIGMS NIH HHS

Grant: R35 GM126948

Lietuvos Mokslo Taryba

Grant: S‐MIP‐21‐35

Cyfronet, AGH University of Science and Technology, Cracow

Grant: unres19

National Science Foundation

Grant: IIS1763246

Japan Agency for Medical Research and Development

Grant: JP20am0101110

NIH HHS

Grant: R01GM123055

Research Council of Lithuania

Grant: S-MIP-17-60

U.S. Department of Energy

Grant: DE-SC0020400

Research Council of Lithuania

Grant: S-MIP-21-35

National Research Foundation of Korea

Grant: 2019M3E5D4066898

Biotechnology and Biological Sciences Research Council

Grant: BB/T018496/1

Advancing capability in high performance protein structure and function prediction through optimisation of IntFOLD

National Science Foundation

Grant: CMMI1825941

National Institute of General Medical Sciences

Grant: GM100482

National Institute of General Medical Sciences

Grant: T32 GM132024

Narodowe Centrum Nauki

Grant: UMO-2017/26/M/ST4/00044

Lietuvos Mokslo Taryba

Grant: S‐MIP‐17‐60

Narodowe Centrum Nauki

Grant: UMO‐2017/25/B/ST4/01026

Narodowe Centrum Nauki

Grant: UMO‐2017/26/M/ST4/00044

National Research Foundation of Korea

Grant: 2020M3A9G7103933

Biotechnology and Biological Sciences Research Council

Grant: BBS/E/W/0012843D

BBSRC Core Strategic Programme in Resilient Crops: Grasslands Gogerddan

NIGMS NIH HHS

Grant: R01 GM100482

National Science Foundation

Grant: 1759934

ABI Innovation: Deep learning methods for protein bioinformatics

National Science Foundation

Grant: 2003635

IIBR Informatics: Development of Multimodal approaches for protein function prediction

National Science Foundation

Grant: 1925643

Collaborative Research: RoL: Revealing a new mechanism of action for eukaryotic transcriptional activation domains

National Institutes of Health

Grant: 5R01GM093123-10

Distance-based ab initio protein structure prediction

National Institutes of Health

Grant: 5T32GM132024-03

Purdue University Molecular Biophysics Training Program

National Science Foundation

Grant: 1825941

Nanomanufacturing of Protein Macromolecular Frameworks Through an Integrated Bioengineering and Computational Approach

National Science Foundation

Grant: 1763246

III: Medium: Collaborative Research: Guiding Exploration of Protein Structure Spaces with Deep Learning

National Institutes of Health

Grant: 1R01GM133840-01A1

Building protein structure models for intermediate resolution cryo-electron microscopy maps

National Institutes of Health

Grant: 5R01GM100482-08

Center for Critical Assessment of Structure Prediction

National Institutes of Health

Grant: 5R01GM123055-02

Structural Modeling of Multifarious Protein Complexes

FWCI

1.85

Citation Percentile

0.9%

Citation Trend

2021

2022

2023

2024

2025

bronzeLicense: Wiley Online Library User Agreement

journalhttps://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/prot.26231

publisherhttps://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/prot.26231

journalhttps://doi.org/10.1002/prot.26231

repositoryhttps://pubmed.ncbi.nlm.nih.gov/34462960

repositoryhttps://orcid.org/0000-0001-5066-7178

Fields of Study

Protein Structure and DynamicsMachine Learning in BioinformaticsRNA and protein synthesis mechanisms0301 basic medicine03 medical and health sciences0303 health sciences

MeSH Terms

Protein DomainsViroporin ProteinsCOVID-19SARS-CoV-2HumansModels, MolecularProtein ConformationViral ProteinsGenome, Viral

Keywords

CASPProtein structure predictionComputer scienceComputational biologyProtein structureBioinformaticsBiologyModel AccuracyEmaSars-cov-2CovidModels, Molecular570SARS‐CoV2CoronavirusesProtein ConformationBioinformatics and Computational BiologyMathematical sciencesGenome, ViralViroporin ProteinsViral ProteinsProtein DomainsModelsInformation and Computing SciencesHumansViralResearch Articles[INFO.INFO-BI] Computer Science [cs]/Bioinformatics [q-bio.QM]GenomeMolecularCOVID-19Biological SciencesCASP-COVID participantsBiochemistry and Cell Biology[INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM]Critical Assessment of Structure Prediction

Sustainable Development Goals

SDG 0: Partnerships for the goals