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Training bias and sequence alignments shape protein–peptide docking by AlphaFold and related methods

Protein Science(2025)10.1002/pro.70331Source: DataRank Database

Training bias and sequence alignments shape protein–peptide docking by AlphaFold and related methods is a research paper published in Protein Science (2025). On theSindex it has a DataRank of 0. It has been cited 8 times.

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Open Access8 citations

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Enrichment:Funding (3 grants)OA: hybridTopics (24)IDs (PubMed, PMC)Annotations (1)

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Authors (2)

Amy E. Keating ORCID,Lindsey Guan ORCID

Live enrichment

PubMed:41084281 PMC:PMC12518507

National Science Foundation

Grant: 2141064

Graduate Research Fellowship Program (GRFP)

National Institutes of Health

Grant: R35GM149227

National Institutes of Health

Grant: T32GM087237

hybridLicense: CC BY

publisherhttps://onlinelibrary.wiley.com/doi/pdf/10.1002/pro.70331

Europe_PMChttps://europepmc.org/articles/PMC12518507

Europe_PMChttps://europepmc.org/articles/PMC12518507?pdf=render

https://doi.org/10.1002/pro.70331

https://pubmed.ncbi.nlm.nih.gov/41084281

Fields of Study

0206 medical engineering02 engineering and technology

MeSH Terms

PeptidesProteinsSequence AlignmentComputational BiologyBinding SitesAmino Acid SequenceProtein BindingMolecular Docking Simulation

Keywords

Structure predictionMachine LearningInterpretabilityBenchmarkingProtein‐peptide InteractionsMolecular Docking SimulationBinding SitesProteinsComputational BiologyAmino Acid SequencePeptidesSequence AlignmentResearch ArticleProtein Binding

Training bias and sequence alignments shape protein–peptide docking by AlphaFold and related methods

FAIR Checklist

Authors (2)

Funding (3 grants)

Open Access

Topics

Annotations (Europe PMC)