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Drug Repurposing Based on Drug–Drug Interaction

https://doi.org/10.1111/cbdd.12378
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What this work says

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

inferredcites →https://doi.org/10.1007/s00213-004-2017-1openalex-snapshot
The highly efficacious actions of N-desmethylclozapine at muscarinic receptors are unique and not a common property of either typical or atypical antipsychotic drugs: is M1 agonism a pre-requisite for mimicking clozapine?s actions?
inferredcites →https://doi.org/10.1016/j.drudis.2012.12.009openalex-snapshot
Predictive methods in drug repurposing: gold mine or just a bigger haystack?
inferredcites →https://doi.org/10.1016/j.febslet.2008.02.024openalex-snapshot
Large‐scale prediction of drug–target relationships
inferredcites →https://doi.org/10.1016/s0022-3565(24)29327-7openalex-snapshot
5-Hydroxytryptamine2A Receptor Inverse Agonists as Antipsychotics
inferredcites →https://doi.org/10.1021/ci100050topenalex-snapshot
Extended-Connectivity Fingerprints
inferredcites →https://doi.org/10.1021/ci400010xopenalex-snapshot
Prediction of Polypharmacological Profiles of Drugs by the Integration of Chemical, Side Effect, and Therapeutic Space
inferredcites →https://doi.org/10.1021/ci9800211openalex-snapshot
Chemical Similarity Searching
inferredcites →https://doi.org/10.1038/nature08506openalex-snapshot
Predicting new molecular targets for known drugs
inferredcites →https://doi.org/10.1073/pnas.1000138107openalex-snapshot
Discovery of drug mode of action and drug repositioning from transcriptional responses
inferredcites →https://doi.org/10.1093/bioinformatics/btq675openalex-snapshot
Cytoscape 2.8: new features for data integration and network visualization
inferredcites →https://doi.org/10.1093/nar/gkq1126openalex-snapshot
DrugBank 3.0: a comprehensive resource for 'Omics' research on drugs
inferredcites →https://doi.org/10.1093/nar/gkr777openalex-snapshot
ChEMBL: a large-scale bioactivity database for drug discovery
inferredcites →https://doi.org/10.1126/science.1158140openalex-snapshot
Drug Target Identification Using Side-Effect Similarity
inferredcites →https://doi.org/10.1159/000139450openalex-snapshot
Effects of Ergotamine and Dihydroergotamine on 5-Hydroxytryptamine-2A Receptors in the Isolated Rat Aorta
inferredcites →https://doi.org/10.1186/1471-2105-12-436openalex-snapshot
clusterMaker: a multi-algorithm clustering plugin for Cytoscape
inferredcites →https://doi.org/10.1517/17425255.2011.602066openalex-snapshot
Challenges for computational structure–activity modelling for predicting chemical toxicity: future improvements?
inferredcites →https://doi.org/10.2174/138161212799436359openalex-snapshot
The Challenges Involved in Modeling Toxicity Data In Silico: A Review

What points at this work

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

inferred← citeshttps://doi.org/10.1007/978-3-030-05282-9_9openalex-snapshot
Structure-Based Drug Design with a Special Emphasis on Herbal Extracts
inferred← citeshttps://doi.org/10.1007/978-3-031-98022-0_23openalex-snapshot
AI- and ML-Driven Strategies for Drug Repurposing: Techniques, Applications, and Challenges
inferred← citeshttps://doi.org/10.1016/b978-0-12-801238-3.11523-5openalex-snapshot
Current In Silico Drug Repurposing Strategies
inferred← citeshttps://doi.org/10.1016/b978-0-12-815499-1.00050-8openalex-snapshot
Basic pharmacokinetics
inferred← citeshttps://doi.org/10.1016/j.csbj.2022.05.057openalex-snapshot
Drug repositioning in drug discovery of T2DM and repositioning potential of antidiabetic agents
inferred← citeshttps://doi.org/10.1016/j.mycmed.2019.07.004openalex-snapshot
Insights on the anticandidal activity of non-antifungal drugs
inferred← citeshttps://doi.org/10.1038/srep32745openalex-snapshot
Clustering drug-drug interaction networks with energy model layouts: community analysis and drug repurposing
inferred← citeshttps://doi.org/10.1093/bib/bbab511openalex-snapshot
Predicting drug–drug interactions by graph convolutional network with multi-kernel
inferred← citeshttps://doi.org/10.1111/cbdd.13802openalex-snapshot
Predicting adverse drug reactions of two‐drug combinations using structural and transcriptomic drug representations to train an artificial neural network
inferred← citeshttps://doi.org/10.1155/2020/1357630openalex-snapshot
Prediction of Side Effects Using Comprehensive Similarity Measures
inferred← citeshttps://doi.org/10.1186/s12859-018-2123-4openalex-snapshot
A two-tiered unsupervised clustering approach for drug repositioning through heterogeneous data integration
inferred← citeshttps://doi.org/10.1186/s12911-018-0653-3openalex-snapshot
Pharmacological risk factors associated with hospital readmission rates in a psychiatric cohort identified using prescriptome data mining
inferred← citeshttps://doi.org/10.2174/0113894501290296240327081624openalex-snapshot
Drug Repurposing Using FDA Adverse Event Reporting System (FAERS) Database
inferred← citeshttps://doi.org/10.2174/1574893616666211119093100openalex-snapshot
Machine Learning and Deep Learning Strategies in Drug Repositioning
inferred← citeshttps://doi.org/10.23917/pharmacon.v22i2.13698openalex-snapshot
Drug Repurposing In Modern Drug Discovery: Role of In Silico Study
inferred← citeshttps://doi.org/10.3233/ida-215745openalex-snapshot
DDREL: From drug-drug relationships to drug repurposing
inferred← citeshttps://doi.org/10.3390/futurepharmacol4010011openalex-snapshot
Atazanavir/Ritonavir Increased Tizoxanide Exposure from Oral Nitazoxanide through Pharmacokinetic Interaction in Healthy Volunteers
inferred← citeshttps://doi.org/10.55003/cast.2024.258109openalex-snapshot
Identification of Repurposable Drugs for Colorectal Cancer Using Drug-Network-Based Classification Models
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