2013
DOI: 10.1007/s11426-013-4910-0
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Web search and data mining of natural products and their bioactivities in PubChem

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 bi… Show more

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Cited by 15 publications
(7 citation statements)
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“…PubChem is the world's largest collection of freely accessible chemical information database. PubChem database is constantly adding new data including chemical and physical properties, biological activities, safety and toxicity information, patents, literature citations, and so on [19]. SMILES of the compounds were pasted in the box of Swiss Target Prediction (http://www.swisstargetprediction.ch/).…”
Section: Acquisition Of Drug-related Compounds and Target Genesmentioning
confidence: 99%
“…PubChem is the world's largest collection of freely accessible chemical information database. PubChem database is constantly adding new data including chemical and physical properties, biological activities, safety and toxicity information, patents, literature citations, and so on [19]. SMILES of the compounds were pasted in the box of Swiss Target Prediction (http://www.swisstargetprediction.ch/).…”
Section: Acquisition Of Drug-related Compounds and Target Genesmentioning
confidence: 99%
“…The compound database was established through literature retrieval and compound identification in Chinese and English databases (CNKI, Wanfang, PubMed). Compound information was collated in the PubMed database (Hao et al, 2013). The PubChem database constantly adds new data, and the SMILES or chemical structure formulae can be uploaded to the Swiss target prediction database (Daina et al, 2019).…”
Section: Prediction Of O Vulgaris Compound Informationmentioning
confidence: 99%
“…To avoid omission of the reported chemical components of rhubarb, oral bioavailability of the drug components were set to (OB≥20%), and drug similarities were set to (DL≥0.1) [14][15]. The chemical structure of rhubarb was retrieved using the PubChem platform [16].Swiss target predictions were used to identify cellular targets [17].…”
Section: Screening Of the Active Components Of Rhubarbmentioning
confidence: 99%