ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2011
Drug repositioning using disease associated biological processes and network analysis of drug targets.
Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
9 citing papers in PubMed, 17 citations in OpenAlex.
- Bioinformatics Based Therapeutic Effects of Sinomenium Acutum.Chinese journal of integrative medicine · 2019Article
- Building the drug-GO function network to screen significant candidate drugs for myasthenia gravis.PloS one · 2019Article
- Article
- Screening drug-target interactions with positive-unlabeled learning.Scientific reports · 2017Article
- Targeting molecular networks for drug research.Frontiers in genetics · 2014Review
- Network-based analysis of vaccine-related associations reveals consistent knowledge with the vaccine ontology.Journal of biomedical semantics · 2013Article
- 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
- Understanding the molecular mechanism of interventions in treating rheumatoid arthritis patients with corresponding traditional chinese medicine patterns based on bioinformatics approach.Evidence-based complementary and alternative medicine : eCAM · 2012Article
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The analysis of disease using protein-protein interaction networks and network pharmacology has enabled better understanding of disease etiology and drug action. New insights into disease etiology and a better understanding of biological subsystems have opened up the possibility of finding new uses for existing drugs besides their original medical indication. We present an approach which makes use of the biological processes associated with diseases along with their known drugs and drug targets to predict Biological Process-Drug relationships. Network analysis is used to further refine these associations to eventually predict new Disease-Drug relationships. The approach is validated by the observation that, out of 2078 predicted disease-drug relationships, 401 (18.1%) have been used in a clinical trial.
Indexed as
Identifiers
22195082PMC3243256W44453898What OpenQuestion holds
Registered trials
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.