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Machine Learning Assisted Approach for Finding Novel High Activity Agonists of Human Ectopic Olfactory Receptors.
Jabeen, Amara; de March, Claire A; Matsunami, Hiroaki; Ranganathan, Shoba.
Affiliation
  • Jabeen A; Applied BioSciences, Macquarie University, Sydney, NSW 2109, Australia.
  • de March CA; Department of Molecular Genetics and Microbiology, Duke University School of Medicine, Durham, NC 27710, USA.
  • Matsunami H; Department of Molecular Genetics and Microbiology, Duke University School of Medicine, Durham, NC 27710, USA.
  • Ranganathan S; Department of Neurobiology, Duke Institute for Brain Sciences, Duke University, Durham, NC 27710, USA.
Int J Mol Sci ; 22(21)2021 Oct 26.
Article in En | MEDLINE | ID: mdl-34768977
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Receptors, Odorant / Machine Learning Type of study: Diagnostic_studies / Prognostic_studies Limits: Female / Humans / Male Language: En Journal: Int J Mol Sci Year: 2021 Document type: Article Affiliation country: Australia Country of publication: Suiza
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Receptors, Odorant / Machine Learning Type of study: Diagnostic_studies / Prognostic_studies Limits: Female / Humans / Male Language: En Journal: Int J Mol Sci Year: 2021 Document type: Article Affiliation country: Australia Country of publication: Suiza