High-throughput functional annotation of natural products by integrated activity profiling
High-throughput functional annotation of natural products by integrated activity profiling
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Author / Creator
Hight, Suzie K. , Clark, Trevor N. , Kurita, Kenji L. , McMillan, Elizabeth A. , Bray, Walter , Shaikh, Anam F. , Khadilkar, Aswad , Haeckl, F. P. Jake , Carnevale-Neto, Fausto , La, Scott , Lohith, Akshar , Vaden, Rachel M. , Lee, Jeon , Wei, Shuguang , Lokey, R. Scott , White, Michael A. , Linington, Roger G. and MacMillan, John B.
Publisher
United States: National Academy of Sciences
Journal title
Language
English
Formats
Publication information
Publisher
United States: National Academy of Sciences
Subjects
More information
Scope and Contents
Contents
Determining mechanism of action (MOA) is one of the biggest challenges in natural products discovery. Here, we report a comprehensive platform that uses Similarity Network Fusion (SNF) to improve MOA predictions by integrating data from the cytological profiling high-content imaging platform and the gene expression platform Functional Signature Ont...
Alternative Titles
Full title
High-throughput functional annotation of natural products by integrated activity profiling
Authors, Artists and Contributors
Author / Creator
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Primary Identifiers
Record Identifier
TN_cdi_gale_infotracmisc_A739412069
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_gale_infotracmisc_A739412069
Other Identifiers
ISSN
0027-8424,0273-4117
E-ISSN
1091-6490
DOI
10.1073/pnas.2208458119
