ArticleBioMed research international2017
Drug Target Protein-Protein Interaction Networks: A Systematic Perspective.
Article in BioMed research international, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers.
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Who cites it
51 citing papers in PubMed.
- Discovering anticancer drug target combinations via network-informed signaling-based approach.Communications medicine · 2025Article
- Mechanisms and Research Methods of Protein Modification in Virus Entry.Applied biochemistry and biotechnology · 2025Review
- Sequence-Based Protein-Protein Interaction Prediction and Its Applications in Drug Discovery.Cells · 2025Review
- The Atlas of Protein-Protein Interactions in Cancer (APPIC)-a webtool to visualize and analyze cancer subtypes.NAR cancer · 2025Article
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- Anticancer Target Combinations: Network-Informed Signaling-Based Approach to Discovery.bioRxiv : the preprint server for biology · 2024Article
- Drug-target interaction prediction with collaborative contrastive learning and adaptive self-paced sampling strategy.BMC biology · 2024Article
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- Transcriptomic analysis revealed potential regulatory biomarkers and repurposable drugs for breast cancer treatment.Cancer reports (Hoboken, N.J.) · 2024Article
- Analysis and prediction of interactions between transmembrane and non-transmembrane proteins.BMC genomics · 2024Article
- Subtractive genomics study of Xanthomonas oryzae pv. Oryzae reveals repurposable drug candidate for the treatment of bacterial leaf blight in rice.Journal, genetic engineering & biotechnology · 2024Article
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- Computer-Aided Drug Discovery and Design: Recent Advances and Future Prospects.Methods in molecular biology (Clifton, N.J.) · 2024Review
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- Combination of antidepressants and antipsychotics as a novel treatment option for psychosis in Alzheimer's disease.CPT: pharmacometrics & systems pharmacology · 2023Article
- PINNED: identifying characteristics of druggable human proteins using an interpretable neural network.Journal of cheminformatics · 2023Article
- Pinostrobin, a fingerroot compound, regulates miR-181b-5p and induces acute leukemic cell apoptosis.Scientific reports · 2023Article
- The identification of key genes and pathways in glioblastoma by bioinformatics analysis.Molecular & cellular oncology · 2023Article
- Use of high-plex data provides novel insights into the temporal artery processes of giant cell arteritis.Frontiers in immunology · 2023Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The identification and validation of drug targets are crucial in biomedical research and many studies have been conducted on analyzing drug target features for getting a better understanding on principles of their mechanisms. But most of them are based on either strong biological hypotheses or the chemical and physical properties of those targets separately. In this paper, we investigated three main ways to understand the functional biomolecules based on the topological features of drug targets. There are no significant differences between targets and common proteins in the protein-protein interactions network, indicating the drug targets are neither hub proteins which are dominant nor the bridge proteins. According to some special topological structures of the drug targets, there are significant differences between known targets and other proteins. Furthermore, the drug targets mainly belong to three typical communities based on their modularity. These topological features are helpful to understand how the drug targets work in the PPI network. Particularly, it is an alternative way to predict potential targets or extract nontargets to test a new drug target efficiently and economically. By this way, a drug target's homologue set containing 102 potential target proteins is predicted in the paper.
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Registered trials
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