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3DProtDTA: a deep learning model for drug-target affinity p..:
Voitsitskyi, Taras
;
Stratiichuk, Roman
;
Koleiev, Ihor
...
RSC Advances. 13 (2023) 15 - p. 10261-10272 , 2023
Link:
https://doi.org/10.1039/d3ra00281k
RT Journal T1
3DProtDTA: a deep learning model for drug-target affinity prediction based on residue-level protein graphs
UL https://suche.suub.uni-bremen.de/peid=cr-10.1039_d3ra00281k&Exemplar=1&LAN=DE A1 Voitsitskyi, Taras A1 Stratiichuk, Roman A1 Koleiev, Ihor A1 Popryho, Leonid A1 Ostrovsky, Zakhar A1 Henitsoi, Pavlo A1 Khropachov, Ivan A1 Vozniak, Volodymyr A1 Zhytar, Roman A1 Nechepurenko, Diana A1 Yesylevskyy, Semen A1 Nafiiev, Alan A1 Starosyla, Serhii PB Royal Society of Chemistry (RSC) YR 2023 SN 2046-2069 JF RSC Advances VO 13 IS 15 SP 10261 OP 10272 LK http://dx.doi.org/https://doi.org/10.1039/d3ra00281k DO https://doi.org/10.1039/d3ra00281k SF ELIB - SuUB Bremen
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