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AlphaFold model quality self‐assessment improvement via deep graph learning

Protein Science(2025)10.1002/pro.70274Source: DataRank Database

AlphaFold model quality self‐assessment improvement via deep graph learning is a research paper published in Protein Science (2025). On theSindex it has a DataRank of 0. It has been cited 3 times.

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Open Access3 citations

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Enrichment:Funding (16 grants)Impact (FWCI 1.27)OA: hybridTopics (35)IDs (PubMed, PMC, OpenAlex)Annotations (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)

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Authors (3)

Zicong Zhang ORCID,Daisuke Kihara ORCID,Jacob Verburgt ORCID

Live enrichment

PubMed:40823963 PMC:PMC12359199 OpenAlex:https://openalex.org/W4413285393

National Science Foundation

Grant: CMMI1825941

National Science Foundation

Grant: DBI2003635

National Science Foundation

Grant: DBI2146026

National Science Foundation

Grant: DMS2151678

National Science Foundation

Grant: IIS2211598

National Science Foundation

Grant: MCB1925643

National Institute of General Medical Sciences

Grant: T32GM132024

National Institutes of Health

Grant: R01GM133840

National Science Foundation

Grant: 2003635

IIBR Informatics: Development of Multimodal approaches for protein function prediction

National Science Foundation

Grant: 2211598

Collaborative Research: III: Medium: Systematic De Novo Identification of Macromolecular Complexes in Cryo-Electron Tomography Images

National Science Foundation

Grant: 1825941

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

National Institutes of Health

Grant: 1R01GM133840-01A1

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

National Science Foundation

Grant: 1925643

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

National Science Foundation

Grant: 2151678

Collaborative Research: Integrated Moment-Based Descriptors and Deep Neural Network for Screening Three-Dimensional Biological Data

National Science Foundation

Grant: 2146026

Collaborative Research: Identification and Structural Modeling of Intrinsically Disordered Protein-Protein and Protein-Nucleic Acids Interactions

National Institutes of Health

Grant: 5T32GM132024-03

Purdue University Molecular Biophysics Training Program

FWCI

1.27

Citation Percentile

0.8%

Citation Trend

2025

2026

hybridLicense: cc-by

journalhttps://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/pro.70274

publisherhttps://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/pro.70274

publisherhttps://onlinelibrary.wiley.com/doi/pdf/10.1002/pro.70274

journalhttps://doi.org/10.1002/pro.70274

repositoryhttps://pubmed.ncbi.nlm.nih.gov/40823963

Fields of Study

Protein Structure and DynamicsEnzyme Structure and FunctionRNA and protein synthesis mechanisms0206 medical engineering02 engineering and technology

MeSH Terms

Deep LearningModels, MolecularProtein ConformationProteinsSoftwareProtein Folding

Keywords

Computer scienceConfidence intervalMachine learningQuality (philosophy)LandmarkGraphArtificial intelligenceCode (set theory)Quality ScoreData miningStatisticsTheoretical computer scienceMathematicsSet (abstract data type)Protein Structure PredictionDeep LearningModel Quality AssessmentAlphafoldModels, MolecularProtein FoldingProtein ConformationProteinsSoftwareResearch Article