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Using genome-wide measurements for computational prediction of SH2–peptide interactions

Nucleic Acids Research(2009)10.1093/nar/gkp394Source: DataRank Database

Using genome-wide measurements for computational prediction of SH2–peptide interactions is a research paper published in Nucleic Acids Research (2009). On theSindex it has a DataRank of 1.2. It has been cited 17 times, with 17 citing works in its 1-hop citation network.

N/A

1.2DataRank · unranked

Scored on demand from live citation data

17 citations · 17 citing works in its network

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (2 grants)OA: goldTopics (36)IDs (PubMed, PMC)SDGs (1)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (0/2)

Interoperable (0/2)

Reusable (0/3)

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DataRank Breakdown

Base Score 36%Citation Network 64%

Base Score Contribution

0.434

From this paper's citation signal

Citation Network Contribution

0.762

From 16 citing papers with measurable signal

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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 17 citers.

A Residual Level Potential of Mean Force Based Approach to Predict Protein-Protein Interaction Affinity
Lecture notes in computer science20106 citations11 referencesContributes 0.177
A multiscale statistical mechanical framework integrates biophysical and genomic data to assemble cancer networks
Nature Genetics201463 citations37 referencesContributes 0.112
Proteome scanning to predict PDZ domain interactions using support vector machines
BMC Bioinformatics201036 citations38 referencesContributes 0.095
A regression framework incorporating quantitative and negative interaction data improves quantitative prediction of PDZ domain–peptide interaction from primary sequence
Bioinformatics201032 citations46 referencesContributes 0.076
Characterization of Domain–Peptide Interaction Interface: Prediction of SH3 Domain-Mediated Protein–Protein Interaction Network in Yeast by Generic Structure-Based Models
Journal of Proteome Research2012206 citations74 referencesContributes 0.072

Authors (2)

Leonid A. Mirny ORCID,Zeba Wunderlich ORCID

Live enrichment

PubMed:19502496 PMC:PMC2724268

NLM NIH HHS

Grant: U54LM008748

National Institutes of Health

Grant: 3U54LM008748-04S1

Informatics for Integrating Biology and the Bedside(RMI)

goldLicense: cc-by-nc

publisherhttps://academic.oup.com/nar/article-pdf/37/14/4629/16752411/gkp394.pdf

publisherhttp://academic.oup.com/nar/article-pdf/37/14/4629/16752411/gkp394.pdf

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/2724268

repositoryhttp://nrs.harvard.edu/urn-3:HUL.InstRepos:8160864

repositoryhttp://hdl.handle.net/1721.1/70946

Fields of Study

0301 basic medicine03 medical and health sciences0303 health sciences

MeSH Terms

PhosphotyrosinePhosphopeptidesProtein Interaction MappingGenomicssrc Homology DomainsModels, ChemicalModels, Molecular

Keywords

Models, MolecularPhosphopeptides5701.1 Normal biological development and functioningBioinformatics and Computational BiologyBioengineeringChemicalsrc Homology DomainsUnderpinning researchModelsInformation and Computing SciencesProtein Interaction MappingGeneticsPhosphotyrosineHuman GenomeMolecularComputational BiologyGenomicsBiological Sciences004Environmental sciencesChemical sciencesModels, ChemicalBiochemistry and Cell BiologyGeneric health relevanceDevelopmental Biology

Sustainable Development Goals

SDG 3: 3. Good health