ArticleComputational and structural biotechnology journal2022
INPUT: An intelligent network pharmacology platform unique for traditional Chinese medicine.
Article in Computational and structural biotechnology journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.
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Who cites it
29 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Banxia baizhu tianma decoction, a Chinese herbal formula, for hypertension: Integrating meta-analysis and network pharmacology.Frontiers in pharmacology · 2022Pooled it
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- Bushen Daozhuo Granules Alleviate Chronic Non-Bacterial Prostatitis in Rats through p38 MAPK and Akt Signaling Pathways Based on Tandem Mass Tag-Based Quantitative Proteomics and Network Pharmacology Analyses.Combinatorial chemistry & high throughput screening · 2026Article
- Cancer network pharmacology: multi-network regulatory mechanisms and future directions.Medical oncology (Northwood, London, England) · 2025Review
- TCMKD: From ancient wisdom to modern insights-A comprehensive platform for traditional Chinese medicine knowledge discovery.Journal of pharmaceutical analysis · 2025Article
- A Serum Pharmacochemistry and Network Pharmacology-based Approach to Study the Anti-depressant Effect of Chaihu-Shugan San.Combinatorial chemistry & high throughput screening · 2025Article
- Combined UPLC-Q-TOF-MS/MS and Network Pharmacology to Analyze the Potential Mechanism of Jieyu Fuwei Powder for Functional Dyspepsia Treatment.Current topics in medicinal chemistry · 2025Article
- Exploring the bioactive properties and mechanism ofAmerican journal of translational research · 2025Article
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- The changing scenario of drug discovery using AI to deep learning: Recent advancement, success stories, collaborations, and challenges.Molecular therapy. Nucleic acids · 2024Review
- The mechanism of action of myricetin against lung adenocarcinoma based on bioinformatics, in silico and in vitro experiments.Naunyn-Schmiedeberg's archives of pharmacology · 2024Article
- Protective effect of avicularin against lung cancer via inhibiting inflammation, oxidative stress, and induction of apoptosis: an in vitro and in vivo study.In vitro cellular & developmental biology. Animal · 2024Article
- Scleral remodeling during myopia development in mice eyes: a potential role of thrombospondin-1.Molecular medicine (Cambridge, Mass.) · 2024Article
- Leveraging Artificial Intelligence for Synergies in Drug Discovery: From Computers to Clinics.Current pharmaceutical design · 2024Review
- Integrating Network Pharmacology with in vitro Experiments to Validate the Efficacy of Celastrol Against Hepatocellular Carcinoma Through Ferroptosis.Drug design, development and therapy · 2024Article
- Role of Network Pharmacology in Prediction of Mechanism of Neuroprotective Compounds.Methods in molecular biology (Clifton, N.J.) · 2024Article
- Unveiling the mechanisms of nephrotoxicity caused by nephrotoxic compounds using toxicological network analysis.Molecular therapy. Nucleic acids · 2023Article
- Article
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Authors and funding
5 authors.
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Abstract
The application of network pharmacology has greatly promoted the scientific interpretation of disease treatment mechanism of traditional Chinese medicine (TCM). However, the data required by network pharmacology analysis were scattered in different resources. In the present work, by integrating and reorganizing the data from multiple resources, we developed the intelligent network pharmacology platform unique for traditional Chinese medicine, called INPUT (http://cbcb.cdutcm.edu.cn/INPUT/), for automatically performing network pharmacology analysis. Besides the curated data collected from multiple resources, a series of bioinformatics tools for network pharmacology analysis were also embedded in INPUT, which makes it become the first automatic platform able to explore the disease treatment mechanisms of TCM. With the built-in tools, researchers can also analyze their own in-house data and obtain the results of pivotal ingredients, GO and KEGG pathway, protein-protein interactions, etc. In addition, as a proof-of-principle, INPUT was applied to decipher the antidepressant mechanism of a commonly used prescription. In summary, INPUT is a powerful platform for network pharmacology analysis and will facilitate the researches on drug discovery.
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