ArticlePloS one2011
Network neighbors of drug targets contribute to drug side-effect similarity.
Article in PloS one, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.
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Who cites it
36 citing papers in PubMed, 102 citations in OpenAlex.
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- Prediction of Drug-Target Interactions by Combining Dual-Tree Complex Wavelet Transform with Ensemble Learning Method.Molecules (Basel, Switzerland) · 2021Article
- Network Pharmacology in Research of Chinese Medicine Formula: Methodology, Application and Prospective.Chinese journal of integrative medicine · 2020Review
- Predicting adverse drug reactions through interpretable deep learning framework.BMC bioinformatics · 2018Article
- An integrative machine learning approach for prediction of toxicity-related drug safety.Life science alliance · 2018Article
- Biomaterials for the Delivery of Growth Factors and Other Therapeutic Agents in Tissue Engineering Approaches to Bone Regeneration.Frontiers in pharmacology · 2018Review
- Network, Transcriptomic and Genomic Features Differentiate Genes Relevant for Drug Response.Frontiers in genetics · 2018Article
- In silico prediction of drug-target interaction networks based on drug chemical structure and protein sequences.Scientific reports · 2017Article
- Harnessing cAMP signaling in musculoskeletal regenerative engineering.Drug discovery today · 2017Review
- Large-scale identification of adverse drug reaction-related proteins through a random walk model.Scientific reports · 2016Article
- One-day treatment of small molecule 8-bromo-cyclic AMP analogue induces cell-based VEGF production for in vitro angiogenesis and osteoblastic differentiation.Journal of tissue engineering and regenerative medicine · 2016Article
- Illuminating drug action by network integration of disease genes: a case study of myocardial infarction.Molecular bioSystems · 2016Article
- An Integrative Pharmacogenomic Approach Identifies Two-drug Combination Therapies for Personalized Cancer Medicine.Scientific reports · 2016Article
- 2D and 3D similarity landscape analysis identifies PARP as a novel off-target for the drug Vatalanib.BMC bioinformatics · 2015Article
- Targets of drugs are generally, and targets of drugs having side effects are specifically good spreaders of human interactome perturbations.Scientific reports · 2015Article
- PhIN: A Protein Pharmacology Interaction Network Database.CPT: pharmacometrics & systems pharmacology · 2015Article
- The Use of Chemical-Chemical Interaction and Chemical Structure to Identify New Candidate Chemicals Related to Lung Cancer.PloS one · 2015Article
- Discovery of new candidate genes related to brain development using protein interaction information.PloS one · 2015Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In pharmacology, it is essential to identify the molecular mechanisms of drug action in order to understand adverse side effects. These adverse side effects have been used to infer whether two drugs share a target protein. However, side-effect similarity of drugs could also be caused by their target proteins being close in a molecular network, which as such could cause similar downstream effects. In this study, we investigated the proportion of side-effect similarities that is due to targets that are close in the network compared to shared drug targets. We found that only a minor fraction of side-effect similarities (5.8 %) are caused by drugs targeting proteins close in the network, compared to side-effect similarities caused by overlapping drug targets (64%). Moreover, these targets that cause similar side effects are more often in a linear part of the network, having two or less interactions, than drug targets in general. Based on the examples, we gained novel insight into the molecular mechanisms of side effects associated with several drug targets. Looking forward, such analyses will be extremely useful in the process of drug development to better understand adverse side effects.
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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.