Screening for Potential Antiviral Compounds from Cyanobacterial Secondary Metabolites Using Machine...
Screening for Potential Antiviral Compounds from Cyanobacterial Secondary Metabolites Using Machine Learning
About this item
Full title
Author / Creator
Zhang, Tingrui , Sun, Geyao , Cheng, Xueyu , Cao, Cheng , Cai, Zhonghua and Zhou, Jin
Publisher
Switzerland: MDPI AG
Journal title
Language
English
Formats
Publication information
Publisher
Switzerland: MDPI AG
Subjects
More information
Scope and Contents
Contents
The secondary metabolites of seawater and freshwater blue-green algae are a rich natural product pool containing diverse compounds with various functions, including antiviral compounds; however, high-efficiency methods to screen such compounds are lacking. Advanced virtual screening techniques can significantly reduce the time and cost of novel ant...
Alternative Titles
Full title
Screening for Potential Antiviral Compounds from Cyanobacterial Secondary Metabolites Using Machine Learning
Authors, Artists and Contributors
Author / Creator
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Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_4df7376bcb0f4f00af2c7d0bdd410d17
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_4df7376bcb0f4f00af2c7d0bdd410d17
Other Identifiers
ISSN
1660-3397
E-ISSN
1660-3397
DOI
10.3390/md22110501
