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Quantifying the Relationships among Drug Classes
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Using quantitative systems pharmacology for novel drug discovery
inferred← citeshttps://doi.org/10.17615/p9r4-re19openalex-snapshot
LIGAND DISCOVERY AND FUNCTIONAL CHARACTERIZATION OF MRGPRX FAMILY ORPHAN GPCRS
inferred← citeshttps://doi.org/10.18632/oncotarget.8716openalex-snapshot
Predicting cancer-relevant proteins using an improved molecular similarity ensemble approach
inferred← citeshttps://doi.org/10.20944/preprints202007.0495.v1openalex-snapshot
Finding New Molecular Targets of Familiar Natural Products Using In Silico Target Prediction
inferred← citeshttps://doi.org/10.2174/13816128113199990470openalex-snapshot
Network Pharmacology Strategies Toward Multi-Target Anticancer Therapies: From Computational Models to Experimental Design Principles
inferred← citeshttps://doi.org/10.2174/1389203715666140724090153openalex-snapshot
Evaluating Protein-protein Interaction (PPI) Networks for Diseases Pathway, Target Discovery, and Drug-design Using ‘In silico Pharmacology’
inferred← citeshttps://doi.org/10.2174/156802609789207091openalex-snapshot
Docking Screens: Right for the Right Reasons?
inferred← citeshttps://doi.org/10.2174/156802611795429130openalex-snapshot
Rapid Analysis of Pharmacology for Infectious Diseases
inferred← citeshttps://doi.org/10.2174/156802611796391285openalex-snapshot
Cross-Pharmacology Analysis of G Protein-Coupled Receptors
inferred← citeshttps://doi.org/10.2174/15680266113139990028openalex-snapshot
Recent Trends and Future Prospects in Computational GPCR Drug Discovery: From Virtual Screening to Polypharmacology
inferred← citeshttps://doi.org/10.2174/2210289201102010113openalex-snapshot
Predicting Drug Promiscuity Using Spherical Harmonic Surface Shape-Based Similarity Comparisons
inferred← citeshttps://doi.org/10.3233/ida-150800openalex-snapshot
Using a Human Drug Network for generating novel hypotheses about drugs
inferred← citeshttps://doi.org/10.3389/fdigh.2018.00013openalex-snapshot
Big Data: Challenge and Opportunity for Translational and Industrial Research in Healthcare
inferred← citeshttps://doi.org/10.3390/ijms21197102openalex-snapshot
Finding New Molecular Targets of Familiar Natural Products Using In Silico Target Prediction
inferred← citeshttps://doi.org/10.3410/f.716897971.792403083openalex-snapshot
Faculty Opinions recommendation of Large-scale prediction and testing of drug activity on side-effect targets.
inferred← citeshttps://doi.org/10.3410/f.717974562.793472738openalex-snapshot
Faculty Opinions recommendation of A pharmacological organization of G protein-coupled receptors.
inferred← citeshttps://doi.org/10.4155/fmc.09.123openalex-snapshot
Drug Repositioning Using In Silico Compound Profiling
inferred← citeshttps://doi.org/10.4155/fmc.11.11openalex-snapshot
Informatics, Machine Learning and Computational Medicinal Chemistry
inferred← citeshttps://doi.org/10.4310/sii.2012.v5.n1.a12openalex-snapshot
Constructing human phenome-interactome networks for the prioritization of candidate genes
inferred← citeshttps://doi.org/10.48550/arxiv.1807.09754openalex-snapshot
Data Infrastructure and Approaches for Ontology-Based Drug Repurposing
inferred← citeshttps://doi.org/10.64898/2026.05.02.720972openalex-snapshot
Pharmacological proximities in the GPCR family discovered using contact-informed amino-acid and binding pocket similarities
inferred← citeshttps://doi.org/10.7554/elife.110475openalex-snapshot
Large-scale prospective evaluation of co-folding across hundreds of Mac1–ligand complexes and three virtual screens
inferred← citeshttps://doi.org/10.7554/elife.110475.1openalex-snapshot
Large scale prospective evaluation of co-folding across 557 Mac1-ligand complexes and three virtual screens
inferred← citeshttps://doi.org/10.7554/elife.110475.2openalex-snapshot
Large scale prospective evaluation of co-folding across hundreds of Mac1-ligand complexes and three virtual screens
inferred← citeshttps://doi.org/10.7554/elife.110475.3openalex-snapshot
Large-scale prospective evaluation of co-folding across hundreds of Mac1–ligand complexes and three virtual screens
inferred← citeshttps://doi.org/10.7868/s0026898418030199openalex-snapshot
РАСПОЗНАВАНИЕ АМИНОКИСЛОТНЫХ ОСТАТКОВ, ОБУСЛАВЛИВАЮЩИХ СПЕЦИФИЧНОЕ ВЗАИМОДЕЙСТВИЕ ПРОТЕИНКИНАЗ С НИЗКОМОЛЕКУЛЯРНЫМИ ИНГИБИТОРАМИ, "Молекулярная биология"
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.