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Machine learning-based development of Gadolinium binding peptides

bioRxiv (Cold Spring Harbor Laboratory)(2025)10.64898/2025.12.14.694215Source: DataRank Database

Machine learning-based development of Gadolinium binding peptides is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2025). On theSindex it has a DataRank of 0.

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (6 grants)OA: greenTopics (16)IDs (PubMed, OpenAlex)

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Accessible (1/2)

Open Access

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Reusable (0/3)

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Authors (8)

Makayla Long,Nicolas Scalzitti ORCID,Iliya Miralavy ORCID,Daniel Holmes ORCID,Mark Kocherovsky ORCID

Live enrichment

PubMed:41473318 OpenAlex:https://openalex.org/W4417420283

National Institute of Biomedical Imaging and Bioengineering

Grant: R01-EB031008

National Institute of Biomedical Imaging and Bioengineering

Grant: R01-EB031936

National Institute of Biomedical Imaging and Bioengineering

Grant: R01-EB030565

NIBIB NIH HHS

Grant: R01 EB030565

NIBIB NIH HHS

Grant: R01 EB031008

NIBIB NIH HHS

Grant: R01 EB031936

greenLicense: cc-by

repositoryhttps://www.biorxiv.org/content/biorxiv/early/2025/12/16/2025.12.14.694215.full.pdf

publisherhttps://syndication.highwire.org/content/doi/10.64898/2025.12.14.694215

repositoryhttps://doi.org/10.64898/2025.12.14.694215

repositoryhttps://pubmed.ncbi.nlm.nih.gov/41473318

Fields of Study

Radiopharmaceutical Chemistry and ApplicationsMonoclonal and Polyclonal Antibodies ResearchLanthanide and Transition Metal Complexes

Keywords

PeptideGadoliniumIsoelectric pointProtein engineeringSequence (biology)HomogeneousSmall moleculeProtein–protein interactionPeptide sequenceGadolinium-based contrast-agentsMachine-learningMagnetic resonance imagingSynthetic biology