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

Highly accurate protein structure prediction with AlphaFold

Nature(2021)10.1038/s41586-021-03819-2Source: DataRank Database

Highly accurate protein structure prediction with AlphaFold is a research paper published in Nature (2021). On theSindex it has a DataRank of 1.6. It has been cited 43,672 times.

N/A

1.6DataRank · unranked

Scored on demand from live citation data

Open Access43,672 citations

Download PDF

Cite:

Linked data & code

pdb doi

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:Impact (FWCI 2221.90)OA: hybridTopics (39)Linked Datasets (25)DataCite Reuse (25)IDs (PubMed, PMC, OpenAlex)Annotations (2)

FAIR Checklist

Context only (not used in score)

Findable (2/2)

Has DOI
Indexed in repositories

Accessible (1/2)

Open Access

Interoperable (2/2)

DataCite relations
Linked datasets

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.

DataRank Breakdown

Base Score 100%Citation Network 0%

Base Score Contribution

1.6

From this paper's citation signal

Citation Network Contribution

Citation network not refreshed for this result

This paper's DataRank is currently driven only by its base citation score. Citation network data was not refreshed for this result.

Learn more about DataRank methodology →

Authors (36)

Alexander Pritzel ORCID,Tim Green ORCID,Michael Figurnov ORCID,Olaf Ronneberger ORCID,Kathryn Tunyasuvunakool ORCID

Live enrichment

PubMed:34265844 PMC:PMC8371605 OpenAlex:https://openalex.org/W3177828909

FWCI

2221.90

Citation Percentile

1.0%

Citation Trend

2012

2013

2014

2017

2019

2020

2021

2022

2023

2024

2025

2026

hybridLicense: cc-by

journalhttps://www.nature.com/articles/s41586-021-03819-2.pdf

publisherhttps://www.nature.com/articles/s41586-021-03819-2.pdf

publisherhttps://www.nature.com/articles/s41586-021-03819-2

journalhttps://doi.org/10.1038/s41586-021-03819-2

repositoryhttps://pubmed.ncbi.nlm.nih.gov/34265844

Fields of Study

Protein Structure and DynamicsMachine Learning in BioinformaticsEnzyme Structure and FunctionAmino Acid SequenceComputational BiologyDatabases, ProteinDeep LearningModels, MolecularNeural Networks, ComputerProtein ConformationProtein FoldingProteinsReproducibility of ResultsSequence Alignment

MeSH Terms

Deep LearningAmino Acid SequenceModels, MolecularProtein ConformationProteinsReproducibility of ResultsSequence AlignmentNeural Networks, ComputerProtein FoldingComputational BiologyDatabases, Protein

Keywords

Protein structure predictionComputer scienceCASPProtein structureThreading (protein sequence)Artificial intelligenceMachine learningStructural bioinformaticsArtificial neural networkProtein superfamilySequence (biology)Function (biology)Computational biologyBiology

The Paget-Kardashev Scale

10.5281/zenodo.19470945Zenodo

The Paget-Kardashev Scale

10.5281/zenodo.19796304Zenodo

AlphaFold Sovereign MCP: a Model Context Protocol server for AlphaFold DB and eight other biomedical data sources

10.5281/zenodo.20134773Zenodo

AlphaFold Sovereign MCP: a Model Context Protocol server for AlphaFold DB and eight other biomedical data sources

10.5281/zenodo.22035951Zenodo

AlphaFold Sovereign MCP: a Model Context Protocol server for AlphaFold DB and eight other biomedical data sources

10.5281/zenodo.22022011Zenodo

Recovering Conformational Heterogeneity from the Protein Data Bank at Scale

10.82153/pff0-ck46Radial

Recovering Conformational Heterogeneity from the Protein Data Bank at Scale

10.82153/fjj4-gv26Radial

AlphaFold Sovereign MCP: a Model Context Protocol server for AlphaFold DB and eight other biomedical data sources

10.5281/zenodo.21878967Zenodo

AlphaFold Sovereign MCP: a Model Context Protocol server for AlphaFold DB and eight other biomedical data sources

10.5281/zenodo.21876694Zenodo

AlphaFraud: a weekly, automated audit of AlphaFold accuracy on freshly deposited human structures

10.5281/zenodo.21808183Zenodo

AlphaFraud: a weekly, automated audit of AlphaFold accuracy on freshly deposited human structures

10.5281/zenodo.21808182Zenodo

Structural models and functional annotations for the Sphagnum divinum proteome

10.13139/ornlnccs/1973885Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)

Proteome-scale Structure Prediction Data - Pseudodesulfovibrio mercurii

10.13139/ornlnccs/1861307Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)

AlphaFold Sovereign MCP: a Model Context Protocol server for AlphaFold DB and eight other biomedical data sources

10.5281/zenodo.21673009Zenodo

AlphaFold Sovereign MCP: a Model Context Protocol server for AlphaFold DB and eight other biomedical data sources

10.5281/zenodo.21403062Zenodo

AlphaFold Sovereign MCP: a Model Context Protocol server for AlphaFold DB and eight other biomedical data sources

10.5281/zenodo.21402109Zenodo

AlphaFold Sovereign MCP: a Model Context Protocol server for AlphaFold DB and eight other biomedical data sources

10.5281/zenodo.21337057Zenodo

AGORA: The Schumpeter-Montesquieu Coupling - A Design Theory for Governed Marketplaces of Self-Interested AI Agents (Extended Manuscript)

10.5281/zenodo.21243379Zenodo

AGORA: The Schumpeter-Montesquieu Coupling - A Design Theory for Governed Marketplaces of Self-Interested AI Agents (Extended Manuscript)

10.5281/zenodo.21162985Zenodo

AlphaFold Sovereign MCP: a Model Context Protocol server for AlphaFold DB and eight other biomedical data sources

10.5281/zenodo.21224401Zenodo

Related Papers (10)

AlphaFold Protein Structure Database: massively expanding the structural coverage of protein-sequence space with high-accuracy models

Top 1%

9.8DataRank

Nucleic Acids Research(2021)

co-cited

10.1093/nar/gkab1061

Accurate structure prediction of biomolecular interactions with AlphaFold 3

N/A

1.4DataRank · unranked

Nature(2024)

co-citedsame journal

10.1038/s41586-024-07487-w

ColabFold: making protein folding accessible to all

N/A

1.4DataRank · unranked

Nature Methods(2022)

co-cited

10.1038/s41592-022-01488-1

Accurate prediction of protein structures and interactions using a three-track neural network

N/A

1.3DataRank · unranked

Science(2021)

co-cited

10.1126/science.abj8754

UCSF ChimeraX: Structure visualization for researchers, educators, and developers

N/A

13.4DataRank · unranked

Protein Science(2020)

co-cited

10.1002/pro.3943

UCSF Chimera—A visualization system for exploratory research and analysis

N/A

1.6DataRank · unranked

Journal of Computational Chemistry(2004)

co-cited

10.1002/jcc.20084

Evolutionary-scale prediction of atomic-level protein structure with a language model

N/A

1.3DataRank · unranked

Science(2023)

co-cited

10.1126/science.ade2574

The mutational constraint spectrum quantified from variation in 141,456 humans

N/A

1.4DataRank · unranked

Nature(2020)

co-citedsame journal

10.1038/s41586-020-2308-7

Features and development of Coot

N/A

1.5DataRank · unranked

Acta Crystallographica Section D Biological Crystallography(2010)

co-cited

10.1107/s0907444910007493

The Protein Data Bank

Top 1%

19.0DataRank

Nucleic Acids Research(2000)

co-cited

10.1093/nar/28.1.235

Highly accurate protein structure prediction with AlphaFold

FAIR Checklist

DataRank Breakdown

Authors (36)

Impact

Open Access

Topics

Linked Datasets (25)

Annotations (Europe PMC)

Related Papers (10)