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MoleGuLAR: Molecule Generation Using Reinforcement Learning..:

Manan Goel (11796623) ; Shampa Raghunathan (1736623) ; Siddhartha Laghuvarapu (11796626).
https://figshare.com/articles/journal_contribution/MoleGuLAR_Molecule_Generation_Using_Reinforcement_Learning_with_Alternating_Rewards/17129063. , 1753

Link: https://doi.org/10.1021/acs.jcim.1c01341.s001

RT Journal
T1 <Title>MoleGuLAR: Molecule Generation Using Reinforcement Learning with Alternating Rewards</Title>

UL https://suche.suub.uni-bremen.de/peid=base-ftsmithonian:oai:figshare.com:article_17129063&Exemplar=1&LAN=DE
				
A1 Manan Goel (11796623)
A1 Shampa Raghunathan (1736623)
A1 Siddhartha Laghuvarapu (11796626)
A1 U. Deva Priyakumar (480753)
YR 1753
K1 Biochemistry
K1 Genetics
K1 Molecular Biology
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 significantly higher number
K1 important problem especially
K1 finding possible matches
K1 existing data sets
K1 de novo generation
K1 start generating molecules
K1 high binding affinities
K1 generate druglike molecules
K1 binding affinity
K1 weighted sum
K1 strategy shows
K1 specified target
K1 quantitative estimate
K1 novel targets
K1 novel strategy
K1 new inhibitors
K1 multiobjective optimization
K1 enhanced ability
K1 drug likeliness
K1 desirable properties
K1 current scenario
K1 conventional approaches
K1 conventional approach
K1 computational strategy
K1 changed periodically
JF https://figshare.com/articles/journal_contribution/MoleGuLAR_Molecule_Generation_Using_Reinforcement_Learning_with_Alternating_Rewards/17129063
LK http://dx.doi.org/https://doi.org/10.1021/acs.jcim.1c01341.s001
DO https://doi.org/10.1021/acs.jcim.1c01341.s001
SF ELIB - SuUB Bremen

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