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Combination of Machine Learning and Empirical Computation f..:

Sarah Szwarc ; Adrien Jagora ; Séverine Derbré...
doi:10.1021/acs.orglett.3c03972.s001. , 1753

Link: https://doi.org/10.1021/acs.orglett.3c03972.s001

RT Journal
T1 <Title>Combination of Machine Learning and Empirical Computation for the Structural Validation of Trirosaline, a Natural Trimeric Monoterpene Indole Alkaloid from Catharanthus roseus</Title>

UL https://suche.suub.uni-bremen.de/peid=base-ftunivoxfordfig:oai:figshare.com:article_24897604&Exemplar=1&LAN=DE
				
A1 Sarah Szwarc
A1 Adrien Jagora
A1 Séverine Derbré
A1 Karine Leblanc
A1 Somia Rharrabti
A1 Charifat Said-Hassane
A1 Chaker El Kalamouni
A1 Jean-François Gallard
A1 Pierre Le Pogam
A1 Mehdi A. Beniddir
YR 1753
K1 Biophysics
K1 Biochemistry
K1 Pharmacology
K1 Biotechnology
K1 Plant Biology
K1 Biological Sciences not elsewhere classified
K1 Chemical Sciences not elsewhere classified
K1 Information Systems not elsewhere classified
K1 unique intermonomeric linkages
K1 primarily elucidated based
K1 possible biosynthetic pathway
K1 firmly confirmed based
K1 >- dp4 study
K1 catharanthus roseus </
K1 trirosaline (< b
K1 j </
K1 structural validation
K1 ml -<
K1 machine learning
K1 hresims analyses
K1 first example
K1 empirical computation
K1 chemical investigation
K1 absolute configuration
JF doi:10.1021/acs.orglett.3c03972.s001
LK http://dx.doi.org/https://doi.org/10.1021/acs.orglett.3c03972.s001
DO https://doi.org/10.1021/acs.orglett.3c03972.s001
SF ELIB - SuUB Bremen

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