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ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2023
License: CC BY
Data sources: ZENODO
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ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
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Multiscale Interactome Data -- Revised

Authors: Callahan, Tiffany J;

Multiscale Interactome Data -- Revised

Abstract

Original GitHub Repository: https://github.com/snap-stanford/multiscale-interactome Forked GitHub Repository: https://github.com/callahantiff/multiscale-interactome/tree/development This repository stores a revised version of the original data that was used in the publication titled: Identification of disease treatment mechanisms through the multiscale interactome. As described in the original GitHub's Readme, the original data can be downloaded directly from: http://snap.stanford.edu/multiscale-interactome/data/data.tar.gz. Description of Original Data Drug-Protein (n=8,568): Source(s): DrugBank (v5.1.1; 2018; drugbank_approved_target_uniprot_links.csv) Drug Repurposing Hub (September 2018) Processing: map Uniprot to Entrez gene using HUGO (October 2018) and drug ids to DrugBank ids Filtering: Filter proteins to only keep those that appear in the Protein-Protein edge set. Disease-Protein (n=25,212): Source(s): DisGeNet (March 2018) Filtering: only keep only expert curated gene-disease associations. (1) exclude disease-gene relationships that are inferred, based on orthology, animal models, or literature mining; (2) remove therapeutic disease-gene associations; and (3) remove disease-gene relationships that do not appear in the Protein-Protein edge set. Protein-Protein (n=387,626): Source(s): BioGRID (v3.5.178; November 2019; BIOGRID-ORGANISM-Homo_sapiens-3.5.178.tab) Database of Interacting Proteins (February 2017; Hsapi20170205.txt). Include all experimental methods Human Reference Protein Interactome Mapping Project. Four networks derived from high-throughput yeast two hybrid assays. Menche 2015 (PMID:25700523). Compiles different types of physical protein-protein interactions. Processing: Map protein ids to Entrez gene ids using HUGO (sources 1-2 only) Filtering: only human proteins with physical interactions and direct experimental evidence (no genetic/indirect) Protein-Biological Process (n=34,777): Source(s): Gene Ontology (human; February 2018) Processing: use master ids provided by GOATOOLS (v0.8.4) Filtering: only allow: EXP, IDA, IMP, IGI, HTP, HDA, HMP, HGI. Exclude any protein-biological functions inferred from: physical interactions, gene expression patterns, phylogenetically inferred annotations or computational analyses, automatic annotations (i.e., based on author statements, curator inference, electronic annotation), and those with no biological data Biological Process-Biological Process (n=22,545): Source(s): Gene Ontology (human; February 2018) + Gene Ontology Plus (human version; July 2020) Filtering: Allow following relationship types: regulates, positively regulates, negatively regulates, part of, is a. Only consider BPs associated with at least one drug target or disease protein (directly or through children) ⚠️ Updates to Original Implementation ⚠️ Modifications to Original Data and Code Ensured every entry had a valid identifier and label Reconciled duplicate gene entries (i.e., gene identifiers that had been merged) Changed genes are listed in: resources/data/updated_gene_identifiers.xlsx

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This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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