ArticleScientific reports2015
Targets of drugs are generally, and targets of drugs having side effects are specifically good spreaders of human interactome perturbations.
Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed, 28 citations in OpenAlex.
- Drug toxicity prediction based on genotype-phenotype differences between preclinical models and humans.EBioMedicine · 2025Article
- Associative conditioning in gene regulatory network models increases integrative causal emergence.Communications biology · 2025Article
- Harnessing the analog computing power of regulatory networks with the Regulatory Network Machine.iScience · 2025Article
- konnect2prot: a web application to explore the protein properties in a functional protein-protein interaction network.Bioinformatics (Oxford, England) · 2023Article
- Interfacial Peptides as Affinity Modulating Agents of Protein-Protein Interactions.Biomolecules · 2022Review
- Targeted drug combination therapy design based on driver genes.Oncotarget · 2019Article
- Tissue-specific genes as an underutilized resource in drug discovery.Scientific reports · 2019Article
- Systematic interrogation of diverse Omic data reveals interpretable, robust, and generalizable transcriptomic features of clinically successful therapeutic targets.PLoS computational biology · 2018Article
- A side-effect free method for identifying cancer drug targets.Scientific reports · 2018Article
- Network, Transcriptomic and Genomic Features Differentiate Genes Relevant for Drug Response.Frontiers in genetics · 2018Article
- Construction and analysis of gene-gene dynamics influence networks based on a Boolean model.BMC systems biology · 2017Article
- Systematic Analyses and Prediction of Human Drug Side Effect Associated Proteins from the Perspective of Protein Evolution.Genome biology and evolution · 2017Article
- Neighbours of cancer-related proteins have key influence on pathogenesis and could increase the drug target space for anticancer therapies.NPJ systems biology and applications · 2017Article
- Identification of critical paralog groups with indispensable roles in the regulation of signaling flow.Scientific reports · 2016Article
- Fundamentals of protein interaction network mapping.Molecular systems biology · 2015Review
Corrections and comments
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
Abstract
Network-based methods are playing an increasingly important role in drug design. Our main question in this paper was whether the efficiency of drug target proteins to spread perturbations in the human interactome is larger if the binding drugs have side effects, as compared to those which have no reported side effects. Our results showed that in general, drug targets were better spreaders of perturbations than non-target proteins, and in particular, targets of drugs with side effects were also better spreaders of perturbations than targets of drugs having no reported side effects in human protein-protein interaction networks. Colorectal cancer-related proteins were good spreaders and had a high centrality, while type 2 diabetes-related proteins showed an average spreading efficiency and had an average centrality in the human interactome. Moreover, the interactome-distance between drug targets and disease-related proteins was higher in diabetes than in colorectal cancer. Our results may help a better understanding of the network position and dynamics of drug targets and disease-related proteins, and may contribute to develop additional, network-based tests to increase the potential safety of drug candidates.
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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.