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Prediction of Polypharmacological Profiles of Drugs by the Integration of Chemical, Side Effect, and Therapeutic Space

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Outgoing claims: the papers this work cites, builds on, or argues with.

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Positron Emission Tomographic Analysis of Central D1 and D2 Dopamine Receptor Occupancy in Patients Treated With Classical Neuroleptics and Clozapine
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Multitarget Structure–Activity Relationships Characterized by Activity-Difference Maps and Consensus Similarity Measure
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Insights into Molecular Basis of Cytochrome P450 Inhibitory Promiscuity of Compounds
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MIND-BEST: Web Server for Drugs and Target Discovery; Design, Synthesis, and Assay of MAO-B Inhibitors and Theoretical−Experimental Study of G3PDH Protein fromTrichomonas gallinae
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A side effect resource to capture phenotypic effects of drugs
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Supervised prediction of drug–target interactions using bipartite local models
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Drug-target interaction prediction from chemical, genomic and pharmacological data in an integrated framework
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TarFisDock: a web server for identifying drug targets with docking approach
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STITCH 2: an interaction network database for small molecules and proteins
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DrugBank 3.0: a comprehensive resource for 'Omics' research on drugs
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The Comparative Toxicogenomics Database: update 2011
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Therapeutic target database update 2012: a resource for facilitating target-oriented drug discovery
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PET Evidence That Loxapine Is an Equipotent Blocker of 5-HT2and D2Receptors: Implications for the Therapeutics of Schizophrenia
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What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Peer Review #1 of "Computational drug repositioning based on side-effects mined from social media (v0.1)"
inferred← citeshttps://doi.org/10.7287/peerj-cs.46v0.1/reviews/2openalex-snapshot
Peer Review #2 of "Computational drug repositioning based on side-effects mined from social media (v0.1)"
inferred← citeshttps://doi.org/10.7287/peerj-cs.46v0.1/reviews/3openalex-snapshot
Peer Review #3 of "Computational drug repositioning based on side-effects mined from social media (v0.1)"
inferred← citeshttps://doi.org/10.7287/peerj-cs.46v0.2/reviews/2openalex-snapshot
Peer Review #2 of "Computational drug repositioning based on side-effects mined from social media (v0.2)"
inferred← citeshttps://doi.org/10.7287/peerj-cs.46v0.2/reviews/3openalex-snapshot
Peer Review #3 of "Computational drug repositioning based on side-effects mined from social media (v0.2)"
inferred← citeshttps://doi.org/10.7287/peerj-cs.46v0.3/reviews/3openalex-snapshot
Peer Review #3 of "Computational drug repositioning based on side-effects mined from social media (v0.3)"
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Heterogeneous network propagation with forward similarity integration to enhance drug–target association prediction
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Computational drug repositioning based on side-effects mined from social media
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.