ArticlePloS one2015
Gene Ontology and KEGG Pathway Enrichment Analysis of a Drug Target-Based Classification System.
Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers, 1 of them a synthesis that pooled it.
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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
62 citing papers in PubMed, 1 synthesis or guideline pooled it.
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- Physicochemical evaluation, GC-MS-based phytoconstituent analysis and network pharmacology study of Guduchi Arka: an ayurvedic hydro-distillate.Bioresources and bioprocessing · 2026Article
- Lead Is Toxic to Neuronal Cells by Inducing Oxidative Stress and Activating Neuroinflammatory Pathways.Brain sciences · 2026Article
- Plasma proteomics framework predicts metabolic dysfunction-associated steatotic liver disease up to 16 years before onset.Nature aging · 2026Article
- Phytochemical Characterization ofFood science & nutrition · 2026Article
- Potential medical applicability of N-β-Ala and N-His dipeptidomimetics against breast cancer: short in vitro and in silico screening.Scientific reports · 2026Article
- Network resilience of the human interactome to pan-cancer mutations reveals conserved pathway vulnerabilities.iScience · 2026Article
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- Retinal Transcriptomic Signatures in Sudden Acquired Retinal Degeneration Syndrome (SARDS) and Cancer-Associated Retinopathy (CAR).Animals : an open access journal from MDPI · 2026Article
- Lactylation-related gene signature for prognosis prediction and immune infiltration assessment in lung adenocarcinoma via bulk and single-cell RNA sequencing.Discover oncology · 2026Article
- Artificial intelligence to investigate metabolomics data for precision medicine.Metabolomics : Official journal of the Metabolomic Society · 2026Review
- Molecular mechanisms and horticultural implications of temperature-induced color variation inFood chemistry. Molecular sciences · 2025Article
- Using network pharmacology and molecular docking technology, proteomics and experiments were used to verify the effect of Yigu decoction (YGD) on the expression of key genes in osteoporotic mice.Annals of medicine · 2025Article
- Differential gene expression analysis of Dohne Merino sheep naturally infected with Haemonchus contortus.Scientific reports · 2025Article
- GC-MS profiling and computational analysis of Balanites aegyptiaca phytoconstituents for antidiabetic activity: insights from network pharmacology and molecular docking.Naunyn-Schmiedeberg's archives of pharmacology · 2025Article
- Priming mucosal pathogen-agnostic innate immunity with an intranasal TLR2/6 agonist in an aged population.ERJ open research · 2025Article
- Lettuce immune responses and apoplastic metabolite profile contribute to reduced internal leaf colonization by human bacterial pathogens.BMC plant biology · 2025Article
- Salidroside ameliorates lipopolysaccharide‑induced ferroptosis in chondrocytes via regulation of the sirt1/foxo1 axis.Molecular medicine reports · 2025Article
2 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Drug-target interaction (DTI) is a key aspect in pharmaceutical research. With the ever-increasing new drug data resources, computational approaches have emerged as powerful and labor-saving tools in predicting new DTIs. However, so far, most of these predictions have been based on structural similarities rather than biological relevance. In this study, we proposed for the first time a "GO and KEGG enrichment score" method to represent a certain category of drug molecules by further classification and interpretation of the DTI database. A benchmark dataset consisting of 2,015 drugs that are assigned to nine categories ((1) G protein-coupled receptors, (2) cytokine receptors, (3) nuclear receptors, (4) ion channels, (5) transporters, (6) enzymes, (7) protein kinases, (8) cellular antigens and (9) pathogens) was constructed by collecting data from KEGG. We analyzed each category and each drug for its contribution in GO terms and KEGG pathways using the popular feature selection "minimum redundancy maximum relevance (mRMR)" method, and key GO terms and KEGG pathways were extracted. Our analysis revealed the top enriched GO terms and KEGG pathways of each drug category, which were highly enriched in the literature and clinical trials. Our results provide for the first time the biological relevance among drugs, targets and biological functions, which serves as a new basis for future DTI predictions.
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