ArticleJournal of medicinal chemistry2020
Drug Research Meets Network Science: Where Are We?
Article in Journal of medicinal chemistry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed.
- Big Data for Drug Discovery: Some Historical Landscape, Considerations, and Applications for a Medicinal Chemist.ACS omega · 2026Review
- Neural Network Models for Prediction of Biological Activity using Molecular Dynamics Data: A Case of Photoswitchable Peptides.Molecular informatics · 2025Article
- Revolutionising Neurological Therapeutics: Investigating Drug Repurposing Strategies.CNS & neurological disorders drug targets · 2025Review
- Comprehensive applications of the artificial intelligence technology in new drug research and development.Health information science and systems · 2024Review
- 5-Fluorouracil in Combination with Calcium Carbonate Nanoparticles Loaded with Antioxidant Thymoquinone against Colon Cancer: Synergistically Therapeutic Potential and Underlying Molecular Mechanism.Antioxidants (Basel, Switzerland) · 2024Article
- Making sense of chemical space network shows signs of criticality.Scientific reports · 2023Article
- Boolean model of the gene regulatory network ofFrontiers in microbiology · 2023Article
- The curse and blessing of abundance-the evolution of drug interaction databases and their impact on drug network analysis.GigaScience · 2022Article
- Visualizing chemical space networks with RDKit and NetworkX.Journal of cheminformatics · 2022Article
- An automatic hypothesis generation for plausible linkage between xanthium and diabetes.Scientific reports · 2022Article
- DrDimont: explainable drug response prediction from differential analysis of multi-omics networks.Bioinformatics (Oxford, England) · 2022Article
- Repurposing Drugs via Network Analysis: Opportunities for Psychiatric Disorders.Pharmaceutics · 2022Review
- Drug-Target Network Study Reveals the Core Target-Protein Interactions of Various COVID-19 Treatments.Genes · 2022Article
- Identification of potential extracellular signal-regulated protein kinase 2 inhibitors based on multiple virtual screening strategies.Frontiers in pharmacology · 2022Article
- Resveratrol Targets AKT1 to Inhibit Inflammasome Activation in Cardiomyocytes Under Acute Sympathetic Stress.Frontiers in pharmacology · 2022Article
- Therapeutic Effects of Retinoic Acid in Lipopolysaccharide-Induced Cardiac Dysfunction: Network Pharmacology and Experimental Validation.Journal of inflammation research · 2022Article
- The potential of a data centred approach & knowledge graph data representation in chemical safety and drug design.Computational and structural biotechnology journal · 2022Review
- When Cyclodextrins Met Data Science: Unveiling Their Pharmaceutical Applications through Network Science and Text-Mining.Pharmaceutics · 2021Article
- Dynamic changes in gene-to-gene regulatory networks in response to SARS-CoV-2 infection.Scientific reports · 2021Article
- Automatic construction of molecular similarity networks for visual graph mining in chemical space of bioactive peptides: an unsupervised learning approach.Scientific reports · 2020Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Network theory provides one of the most potent analysis tools for the study of complex systems. In this paper, we illustrate the network-based perspective in drug research and how it is coherent with the new paradigm of drug discovery. We first present data sources from which networks are built, then show some examples of how the networks can be used to investigate drug-related systems. A section is devoted to network-based inference applications, i.e., prediction methods based on interactomes, that can be used to identify putative drug-target interactions without resorting to 3D modeling. Finally, we present some aspects of Boolean networks dynamics, anticipating that it might become a very potent modeling framework to develop
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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.