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1 Ergebnisse
1
AE-NN performance of the selected candidate drugs:
Bin Baek
;
Eunmi Jang
;
Sejin Park
...
doi:10.1371/journal.pone.0295629.t001. , 2024
Link:
https://doi.org/10.1371/journal.pone.0295629.t001
RT Journal T1
AE-NN performance of the selected candidate drugs
UL https://suche.suub.uni-bremen.de/peid=base-ftgriffithunifig:oai:figshare.com:article_25077825&Exemplar=1&LAN=DE A1 Bin Baek A1 Eunmi Jang A1 Sejin Park A1 Sung-Hye Park A1 Darren Reece Williams A1 Da-Woon Jung A1 Hyunju Lee YR 2024 K1 Biochemistry K1 Pharmacology K1 Biotechnology K1 Cancer K1 Biological Sciences not elsewhere classified K1 Chemical Sciences not elsewhere classified K1 Information Systems not elsewhere classified K1 obtain reliable predictions K1 two prediction models K1 attractive lead compounds K1 apply prediction models K1 three candidate drugs K1 div >< p K1 showed selective effectiveness K1 many potential compounds K1 potential candidate drugs K1 rms cell lines K1 rhabdomyosarcoma </ p K1 targeting compounds K1 computational models K1 vitro </ K1 specific drugs K1 repurpose drugs K1 novel cell K1 effective rhabdomyosarcoma K1 urgently needed K1 targeted therapies K1 side effects K1 selected following K1 proposed methods K1 identifying cancer K1 effectively identify K1 drug sensitivity K1 computational approach K1 cancer database K1 cancer cells JF doi:10.1371/journal.pone.0295629.t001 LK http://dx.doi.org/https://doi.org/10.1371/journal.pone.0295629.t001 DO https://doi.org/10.1371/journal.pone.0295629.t001 SF ELIB - SuUB Bremen
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