ArticlePLoS computational biology2015
Distinctive Behaviors of Druggable Proteins in Cellular Networks.
Article in PLoS computational biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.
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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
27 citing papers in PubMed, 56 citations in OpenAlex.
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- Exploration of Target Spaces in the Human Genome for Protein and Peptide Drugs.Genomics, proteomics & bioinformatics · 2022Article
- Individualized Prediction of Drug Response and Rational Combination Therapy in NSCLC Using Artificial Intelligence-Enabled Studies of Acute Phosphoproteomic Changes.Molecular cancer therapeutics · 2022Article
- Identifying genes targeted by disease-associated non-coding SNPs with a protein knowledge graph.PloS one · 2022Article
- The druggable genome: Twenty years later.Frontiers in bioinformatics · 2022Article
- Systems biology and machine learning approaches identify drug targets in diabetic nephropathy.Scientific reports · 2021Article
- canSAR: update to the cancer translational research and drug discovery knowledgebase.Nucleic acids research · 2021Article
- Identifying Drug Targets in Pancreatic Ductal Adenocarcinoma Through Machine Learning, Analyzing Biomolecular Networks, and Structural Modeling.Frontiers in pharmacology · 2020Article
- Predicting clinically promising therapeutic hypotheses using tensor factorization.BMC bioinformatics · 2019Article
- canSAR: update to the cancer translational research and drug discovery knowledgebase.Nucleic acids research · 2019Article
- Biomarker-Drug and Liquid Biopsy Co-development for Disease Staging and Targeted Therapy: Cornerstones for Alzheimer's Precision Medicine and Pharmacology.Frontiers in pharmacology · 2019Article
- Sequence-Derived Markers of Drug Targets and Potentially Druggable Human Proteins.Frontiers in genetics · 2019Article
- Leveraging Human Genetics to Guide Cancer Drug Development.JCO clinical cancer informatics · 2018Article
- Whole-genome sequencing of multiple myeloma reveals oncogenic pathways are targeted somatically through multiple mechanisms.Leukemia · 2018Article
- Using predicate and provenance information from a knowledge graph for drug efficacy screening.Journal of biomedical semantics · 2018Article
- Sequencing of prostate cancers identifies new cancer genes, routes of progression and drug targets.Nature genetics · 2018Article
- Systematic interrogation of diverse Omic data reveals interpretable, robust, and generalizable transcriptomic features of clinically successful therapeutic targets.PLoS computational biology · 2018Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
Abstract
The interaction environment of a protein in a cellular network is important in defining the role that the protein plays in the system as a whole, and thus its potential suitability as a drug target. Despite the importance of the network environment, it is neglected during target selection for drug discovery. Here, we present the first systematic, comprehensive computational analysis of topological, community and graphical network parameters of the human interactome and identify discriminatory network patterns that strongly distinguish drug targets from the interactome as a whole. Importantly, we identify striking differences in the network behavior of targets of cancer drugs versus targets from other therapeutic areas and explore how they may relate to successful drug combinations to overcome acquired resistance to cancer drugs. We develop, computationally validate and provide the first public domain predictive algorithm for identifying druggable neighborhoods based on network parameters. We also make available full predictions for 13,345 proteins to aid target selection for drug discovery. All target predictions are available through canSAR.icr.ac.uk. Underlying data and tools are available at https://cansar.icr.ac.uk/cansar/publications/druggable_network_neighbourhoods/.
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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.