Latest Research in Network Pharmacology Discovery Platforms

Top Research Topics in Network Pharmacology Discovery Platforms

• Computational Drug Discovery Methods — 27 papers
• Machine Learning — 6 papers
• Metabolomics and Mass Spectrometry Studies — 4 papers
• Histone Deacetylase Inhibitors Research — 3 papers
• Parkinson's Disease Mechanisms and Treatments — 3 papers
• Amyloidosis: Diagnosis, Treatment, Outcomes — 2 papers
• Epilepsy research and treatment — 2 papers
• Phosphodiesterase function and regulation — 2 papers
• Quantitative Methods — 2 papers
• Cell Image Analysis Techniques — 2 papers

Highest-Cited Papers

1. Drug Design Studio (DDS) 2.0: A Unified Platform for Network Pharmacology Integrated with Docking and Virtual Screening Workflow for Covalent/Non-Covalent Binders (1 citations)
2. Measuring AI Progress in Drug Discovery: A Reproducible Leaderboard for the Tox21 Challenge (1 citations)
3. EVOLUTION OF COMPUTER-AIDED DRUG DESIGN: EMERGING TECHNOLOGIES AND FUTURE OPPORTUNITIES IN DRUG DISCOVERY
4. Resonant Coupling Between Ultra-Low Frequency Space Waves and Biological Membrane Dynamics via Stochastic Resonance: A Comprehensive Biophysical Model
5. Bridging Nature, Data, and Artificial Intelligence: An Interdisciplinary Approach for Natural Products Discovery
6. Computational drug repurposing against histone acetyltransferase p300 for non-hormonal treatment of endometriosis using virtual screening and molecular dynamics simulations
7. Integrated In Silico and Experimental Insights into Immunomodulatory Toll-Like Receptor 7/8 Agonists with Anticancer Potential
8. Contrastive Learning for Metabolite-Aware Oral Drug Design
9. What survives? Semantic eligibility, distribution shift and metric interpretation in external validation of ADMET predictors
10. Zn2+-Induced Dissociation of Transthyretin Tetramers Generates Toxic, Seeding-Active Misfolded Oligomers
11. Chromatograms: A Modular Infrastructure for Scalable Chromatographic Data Handling in R
12. Progress with FAK inhibitors in the patent literature (2020-present)
13. Cracking ERα Y537S Resistance: Explainable Machine Learning-Guided Discovery and Molecular Dynamics Validation of Stable Candidate Ligands
14. From in silico prediction to experimental validation: Identification of drugs and novel synergistic combinations that inhibit growth of inflammatory breast cancer cells
15. Integrative computational repositioning of Foretinib and PF-03715455 as potential GSTP1 inhibitors for cancer chemosensitization
16. Cyclic Ion Mobility Separations of Free Oxylipins
17. Network propagation in bipartite metabolite–reaction graphs for metabolomic data exploration
18. Blank Spectrum Correction as a Robust Solution to Artifacts in Quantitative X-ray Fluorescence Mapping
19. Virtual Screening and Molecular Dynamics Simulations Identifying Natural Product-Derived Cathepsin K Inhibitors as Potential Therapeutics for Osteoporosis
20. Enhancing interpretability in metabolomics: ranking metabolites by their impact on graph neural network predictions

Sub-Regions

• Computational Drug Discovery Methods — 22 papers
• Parkinson's Disease Mechanisms and Treatments — 16 papers
• Machine Learning — 16 papers
• Microtubule and mitosis dynamics — 13 papers
• Receptor Mechanisms and Signaling — 13 papers
• Advanced X-ray Imaging Techniques — 3 papers