Awesome Network Pharmacology
Polypharmacology Toolkit for Traditional Chinese Medicine Research
Reproducible R pipeline for network pharmacology analysis of plant extracts — from GC-MS data to pre-docking candidate prioritization
A Python package for network-based pharmacology and systems-level drug analysis. Integrates Reactome pathway analysis, STRING protein-protein interaction networks, and multi-omics enrichment (GO/KEGG/Reactome).
In-silico agent-based framework for coexistence-control of pancreatic cancer (PDAC) via food-medicine-homology compounds
Self-contained R and Python modules for common bioinformatics analyses. Each runs on a bundled example dataset and produces vector, journal-style figures: transcriptomics, single-cell, machine learning, Mendelian randomization, WGCNA, and more.
Reproducibility code and derived data for a systems pharmacology study integrating graph learning, CAP transcriptomics, and network diffusion.
A web-app that integrates and automates parts of the network pharmacology workflow for herbal medicine research, focused on Indonesian medicinal plants.
Comparative Analysis of Network-Based Measures for the Assessment of Drug-Induced Liver Injury
Computational medicinal chemistry project integrating molecular docking, network pharmacology, and ADMET prediction to evaluate berberine as a potential therapeutic candidate against Type 2 Diabetes Mellitus.
Meta-analysis of COPD alveolar macrophage transcriptomics identifying hub genes and drug repurposing candidates via network pharmacology
Network pharmacology & Molecular docking of Green Bean Coffee for anti-obesity.
Network Pharmacology and Molecular Docking Analysis of Kochiae Fructus against Allergic Contact Dermatitis
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