ArticleScience China. Chemistry2013
Web search and data mining of natural products and their bioactivities in PubChem.
Article in Science China. Chemistry, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
8 citing papers in PubMed.
- Exploration of the mechanisms and active compounds ofFrontiers in microbiology · 2026Article
- Molecular mechanisms of arecoline-induced oral cancer: a network toxicology and molecular docking techniques integrated analysis.Discover oncology · 2025Article
- Serial five-membered lactone ring ions in the treatment of Alzheimer's diseases-comprehensive profiling of arctigenin metabolites and network analysis.Frontiers in pharmacology · 2022Article
- Study on the Sleep-Improvement Effects ofFoods (Basel, Switzerland) · 2021Article
- Integrated Phytochemical Analysis Based on UPLC-MS/MS and Network Pharmacology Approaches to Explore the Effect ofFrontiers in pharmacology · 2021Article
- Can network pharmacology identify the anti-virus and anti- inflammatory activities of Shuanghuanglian oral liquid used in Chinese medicine for respiratory tract infection?European journal of integrative medicine · 2020Article
- NP-Scout: Machine Learning Approach for the Quantification and Visualization of the Natural Product-Likeness of Small Molecules.Biomolecules · 2019Article
- Functional group and diversity analysis of BIOFACQUIM: A Mexican natural product database.F1000Research · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Natural products, as major resources for drug discovery historically, are gaining more attentions recently due to the advancement in genomic sequencing and other technologies, which makes them attractive and amenable to drug candidate screening. Collecting and mining the bioactivity information of natural products are extremely important for accelerating drug development process by reducing cost. Lately, a number of publicly accessible databases have been established to facilitate the access to the chemical biology data for small molecules including natural products. Thus, it is imperative for scientists in related fields to exploit these resources in order to expedite their researches on natural products as drug leads/candidates for disease treatment. PubChem, as a public database, contains large amounts of natural products associated with bioactivity data. In this review, we introduce the information system provided at PubChem, and systematically describe the applications for a set of PubChem web services for rapid data retrieval, analysis, and downloading of natural products. We hope this work can serve as a starting point for the researchers to perform data mining on natural products using PubChem.
Indexed as
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What OpenQuestion holds
Registered trials
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.