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1 Ergebnisse
1
Machine Learning Uncovers Natural Product Modulators of the..:
Sigitas Mikutis
;
Stefanie Lawrinowitz
;
Christian Kretzer
...
doi:10.1021/acschembio.3c00725.s002. , 2023
Link:
https://doi.org/10.1021/acschembio.3c00725.s002
RT Journal T1
Machine Learning Uncovers Natural Product Modulators of the 5‑Lipoxygenase Pathway and Facilitates the Elucidation of Their Biological Mechanisms
UL https://suche.suub.uni-bremen.de/peid=base-ftdeakinunifig:oai:figshare.com:article_24906945&Exemplar=1&LAN=DE A1 Sigitas Mikutis A1 Stefanie Lawrinowitz A1 Christian Kretzer A1 Lavinia Dunsmore A1 Laurynas Sketeris A1 Tiago Rodrigues A1 Oliver Werz A1 Gonçalo J. L. Bernardes YR 2023 K1 Biophysics K1 Biochemistry K1 Pharmacology K1 Immunology K1 Computational Biology K1 Biological Sciences not elsewhere classified K1 Chemical Sciences not elsewhere classified K1 Information Systems not elsewhere classified K1 ranging biological activities K1 prime examples thereof K1 poor synthetic accessibility K1 plays key roles K1 either directly inhibit K1 nine natural products K1 natural products suffer K1 discovering natural products K1 computational approaches led K1 biologically active molecules K1 designed ml models K1 natural products K1 led us K1 use cases K1 structural diversity K1 small molecules K1 shed light K1 selective mechanism K1 physical experiments K1 particular target K1 new cell K1 models excel K1 made inroads K1 lipid signaling K1 large scales K1 issues K1 chemical sciences K1 chemical reactions K1 chemical biology K1 broadly applied JF doi:10.1021/acschembio.3c00725.s002 LK http://dx.doi.org/https://doi.org/10.1021/acschembio.3c00725.s002 DO https://doi.org/10.1021/acschembio.3c00725.s002 SF ELIB - SuUB Bremen
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