ArticleBMC bioinformatics2012
DTome: a web-based tool for drug-target interactome construction.
Article in BMC bioinformatics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.
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Who cites it
16 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Exploring drug-target interaction networks of illicit drugs.BMC genomics · 2013Pooled it
- Prospective de novo drug design with deep interactome learning.Nature communications · 2024Article
- Building a Pharmacogenomics Knowledge Model Toward Precision Medicine: Case Study in Melanoma.JMIR medical informatics · 2020Article
- Drug repurposing to improve treatment of rheumatic autoimmune inflammatory diseases.Nature reviews. Rheumatology · 2020Review
- Autophagic Network Analysis of the Dual Effect of Sevoflurane on Neurons Associated with GABARAPL1 and 2.BioMed research international · 2020Article
- Functional network analysis of gene-phenotype connectivity based on pioglitazone.Experimental and therapeutic medicine · 2019Article
- Revealing Drug-Target Interactions with Computational Models and Algorithms.Molecules (Basel, Switzerland) · 2019Review
- Network Pharmacology Analysis ofEvidence-based complementary and alternative medicine : eCAM · 2019Article
- Functional/activity network (FAN) analysis of gene-phenotype connectivity liaised by grape polyphenol resveratrol.Oncotarget · 2016Article
- LENS: web-based lens for enrichment and network studies of human proteins.BMC medical genomics · 2015Article
- Computational drug repositioning for peripheral arterial disease: prediction of anti-inflammatory and pro-angiogenic therapeutics.Frontiers in pharmacology · 2015Article
- A weighted and integrated drug-target interactome: drug repurposing for schizophrenia as a use case.BMC systems biology · 2015Article
- Machine learning-based prediction of drug-drug interactions by integrating drug phenotypic, therapeutic, chemical, and genomic properties.Journal of the American Medical Informatics Association : JAMIA · 2014Article
- Network-assisted prediction of potential drugs for addiction.BioMed research international · 2014Article
- Structure and dynamics of molecular networks: a novel paradigm of drug discovery: a comprehensive review.Pharmacology & therapeutics · 2013Review
- Drug repurposing a reality: from computers to the clinic.Expert review of clinical pharmacology · 2013Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
backgroundUnderstanding drug bioactivities is crucial for early-stage drug discovery, toxicology studies and clinical trials. Network pharmacology is a promising approach to better understand the molecular mechanisms of drug bioactivities. With a dramatic increase of rich data sources that document drugs' structural, chemical, and biological activities, it is necessary to develop an automated tool to construct a drug-target network for candidate drugs, thus facilitating the drug discovery process.
resultsWe designed a computational workflow to construct drug-target networks from different knowledge bases including DrugBank, PharmGKB, and the PINA database. To automatically implement the workflow, we created a web-based tool called DTome (Drug-Target interactome tool), which is comprised of a database schema and a user-friendly web interface. The DTome tool utilizes web-based queries to search candidate drugs and then construct a DTome network by extracting and integrating four types of interactions. The four types are adverse drug interactions, drug-target interactions, drug-gene associations, and target-/gene-protein interactions. Additionally, we provided a detailed network analysis and visualization process to illustrate how to analyze and interpret the DTome network. The DTome tool is publicly available at http://bioinfo.mc.vanderbilt.edu/DTome.
conclusionsAs demonstrated with the antipsychotic drug clozapine, the DTome tool was effective and promising for the investigation of relationships among drugs, adverse interaction drugs, drug primary targets, drug-associated genes, and proteins directly interacting with targets or genes. The resultant DTome network provides researchers with direct insights into their interest drug(s), such as the molecular mechanisms of drug actions. We believe such a tool can facilitate identification of drug targets and drug adverse interactions.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.