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1 Ergebnisse
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Predicting Antimicrobial Activity of Conjugated Oligoelectr..:
Armi Tiihonen (4099597)
;
Sarah J. Cox-Vazquez (11655251)
;
Qiaohao Liang (11655254)
...
https://figshare.com/articles/journal_contribution/Predicting_Antimicrobial_Activity_of_Conjugated_Oligoelectrolyte_Molecules_via_Machine_Learning/16942961. , 2021
Link:
https://doi.org/10.1021/jacs.1c05055.s001
RT Journal T1
Predicting Antimicrobial Activity of Conjugated Oligoelectrolyte Molecules via Machine Learning
UL https://suche.suub.uni-bremen.de/peid=base-ftsmithonian:oai:figshare.com:article_16942961&Exemplar=1&LAN=DE A1 Armi Tiihonen (4099597) A1 Sarah J. Cox-Vazquez (11655251) A1 Qiaohao Liang (11655254) A1 Mohamed Ragab (11655257) A1 Zekun Ren (11655260) A1 Noor Titan Putri Hartono (11655263) A1 Zhe Liu (77240) A1 Shijing Sun (1441468) A1 Cheng Zhou (307152) A1 Nathan C. Incandela (11655266) A1 Jakkarin Limwongyut (5688527) A1 Alex S. Moreland (11655269) A1 Senthilnath Jayavelu (11038405) A1 Guillermo C. Bazan (1285935) A1 Tonio Buonassisi (1368432) YR 2021 K1 Biochemistry K1 Microbiology K1 Genetics K1 Pharmacology K1 Infectious Diseases K1 Virology K1 Biological Sciences not elsewhere classified K1 Chemical Sciences not elsewhere classified K1 Information Systems not elsewhere classified K1 minimum inhibitory concentration K1 large data sets K1 finding structural similarities K1 molecular representation optimum K1 approach enables us K1 predictive model achieves K1 predicting antimicrobial activity K1 2 </ sup K1 conjugated oligoelectrolyte molecules K1 antibiotics development process K1 predictive model K1 development process K1 antimicrobial activity K1 representation reflecting K1 proposed approach K1 conjugated oligoelectrolytes K1 >< sup K1 r </ K1 coli </ K1 underlying mechanism K1 specific example K1 recursive elimination K1 readily adapted K1 prior knowledge K1 new pathways K1 new class K1 learning methods K1 good predictions K1 existing antibiotics K1 dimensional shape K1 challenges remain K1 5305 descriptors JF https://figshare.com/articles/journal_contribution/Predicting_Antimicrobial_Activity_of_Conjugated_Oligoelectrolyte_Molecules_via_Machine_Learning/16942961 LK http://dx.doi.org/https://doi.org/10.1021/jacs.1c05055.s001 DO https://doi.org/10.1021/jacs.1c05055.s001 SF ELIB - SuUB Bremen
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