ArticleScientific reports2015
CancerHSP: anticancer herbs database of systems pharmacology.
Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.
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Who cites it
26 citing papers in PubMed, 60 citations in OpenAlex.
- Online sources of health-related traditional knowledge: content for a traditional medicine library.Bulletin of the World Health Organization · 2026Review
- Preclinical screening models in anticancer drug development: strengths, limitations, and translational challenges.Frontiers in pharmacology · 2026Review
- Computer-Aided Drug Design in Research on Chinese Materia Medica: Methods, Applications, Advantages, and Challenges.Pharmaceutics · 2025Review
- Overview and limitations of database in global traditional medicines: A narrative review.Acta pharmacologica Sinica · 2025Review
- The role and application of bioinformatics techniques and tools in drug discovery.Frontiers in pharmacology · 2025Review
- Translational Informatics Driven Drug Repositioning for Neurodegenerative Disease.Current neuropharmacology · 2025Review
- Recent advances in the area of plant-based anti-cancer drug discovery using computational approaches.Molecular diversity · 2024Review
- Network pharmacology: an efficient but underutilized approach in oral, head and neck cancer therapy-a review.Frontiers in pharmacology · 2024Review
- The impact of altering the concentration of coffee constituents on their anticancer effect on oral squamous cell carcinoma cell line -Contemporary oncology (Poznan, Poland) · 2024Article
- Multi-level advances in databases related to systems pharmacology in traditional Chinese medicine: a 60-year review.Frontiers in pharmacology · 2023Review
- Article
- Methodology of network pharmacology for research on Chinese herbal medicine against COVID-19: A review.Journal of integrative medicine · 2022Review
- Integration strategy of network pharmacology in Traditional Chinese Medicine: a narrative review.Journal of traditional Chinese medicine = Chung i tsa chih ying wen pan · 2022Review
- Exploration of the System-Level Mechanisms of the Herbal Drug FDY003 for Pancreatic Cancer Treatment: A Network Pharmacological Investigation.Evidence-based complementary and alternative medicine : eCAM · 2022Article
- Investigation of Anti-Liver Cancer Activity of the Herbal Drug FDY003 Using Network Pharmacology.Evidence-based complementary and alternative medicine : eCAM · 2022Article
- Uncovering the Anti-Lung-Cancer Mechanisms of the Herbal Drug FDY2004 by Network Pharmacology.Evidence-based complementary and alternative medicine : eCAM · 2021Article
- A Network Pharmacology Study on the Molecular Mechanisms of FDY003 for Breast Cancer Treatment.Evidence-based complementary and alternative medicine : eCAM · 2021Article
- Mining Natural Products with Anticancer Biological Activity through a Systems Biology Approach.Oxidative medicine and cellular longevity · 2021Article
- Investigating the Mechanism ofEvidence-based complementary and alternative medicine : eCAM · 2021Article
- Systems Pharmacology for Investigation of the Mechanisms of Action of Traditional Chinese Medicine in Drug Discovery.Frontiers in pharmacology · 2019Review
Corrections and comments
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Authors and funding
16 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The numerous natural products and their bioactivity potentially afford an extraordinary resource for new drug discovery and have been employed in cancer treatment. However, the underlying pharmacological mechanisms of most natural anticancer compounds remain elusive, which has become one of the major obstacles in developing novel effective anticancer agents. Here, to address these unmet needs, we developed an anticancer herbs database of systems pharmacology (CancerHSP), which records anticancer herbs related information through manual curation. Currently, CancerHSP contains 2439 anticancer herbal medicines with 3575 anticancer ingredients. For each ingredient, the molecular structure and nine key ADME parameters are provided. Moreover, we also provide the anticancer activities of these compounds based on 492 different cancer cell lines. Further, the protein targets of the compounds are predicted by state-of-art methods or collected from literatures. CancerHSP will help reveal the molecular mechanisms of natural anticancer products and accelerate anticancer drug development, especially facilitate future investigations on drug repositioning and drug discovery. CancerHSP is freely available on the web at http://lsp.nwsuaf.edu.cn/CancerHSP.php.
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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.