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- Q89091353 description "article scientifique publié en 2018" @default.
- Q89091353 description "artículu científicu espublizáu en xunu de 2018" @default.
- Q89091353 description "scientific article published on 27 June 2018" @default.
- Q89091353 description "wetenschappelijk artikel" @default.
- Q89091353 description "наукова стаття, опублікована в червні 2018" @default.
- Q89091353 name "Perturbation-Theory and Machine Learning (PTML) Model for High-Throughput Screening of Parham Reactions: Experimental and Theoretical Studies" @default.
- Q89091353 name "Perturbation-Theory and Machine Learning (PTML) Model for High-Throughput Screening of Parham Reactions: Experimental and Theoretical Studies" @default.
- Q89091353 type Item @default.
- Q89091353 label "Perturbation-Theory and Machine Learning (PTML) Model for High-Throughput Screening of Parham Reactions: Experimental and Theoretical Studies" @default.
- Q89091353 label "Perturbation-Theory and Machine Learning (PTML) Model for High-Throughput Screening of Parham Reactions: Experimental and Theoretical Studies" @default.
- Q89091353 prefLabel "Perturbation-Theory and Machine Learning (PTML) Model for High-Throughput Screening of Parham Reactions: Experimental and Theoretical Studies" @default.
- Q89091353 prefLabel "Perturbation-Theory and Machine Learning (PTML) Model for High-Throughput Screening of Parham Reactions: Experimental and Theoretical Studies" @default.
- Q89091353 P1433 Q89091353-ECC1346B-5FE9-456A-B123-2474F3542532 @default.
- Q89091353 P1476 Q89091353-5321E120-0C8F-4B55-8CA9-55B437955242 @default.
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- Q89091353 P2093 Q89091353-5FA2CDDF-528F-4100-A2F4-E6BEECD7AE23 @default.
- Q89091353 P2093 Q89091353-925BCE27-3811-476F-BE54-E04E0D8526A3 @default.
- Q89091353 P2093 Q89091353-C1D331B8-D4B3-4BCA-B534-29F759ED0A84 @default.
- Q89091353 P2860 Q89091353-8F99F0DD-5B85-4F69-A02F-7DF8C00F2F5D @default.
- Q89091353 P304 Q89091353-96ACB6F4-91FF-4975-955C-AC418D43F46F @default.
- Q89091353 P31 Q89091353-54DCF541-8E9E-40A3-BF8B-A2CB66FB7282 @default.
- Q89091353 P356 Q89091353-9533169C-8089-43FB-B42A-EDAE3413E6F6 @default.
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- Q89091353 P478 Q89091353-29E39358-584C-4E0A-9D7D-7D3629293C05 @default.
- Q89091353 P50 Q89091353-8433DE43-794E-43B6-8DDC-59FE2C4F8C60 @default.
- Q89091353 P50 Q89091353-A1A6359C-47FA-491E-BACB-1F52570AE754 @default.
- Q89091353 P50 Q89091353-E99F63B7-1A24-40F7-B532-63AF9C31F346 @default.
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- Q89091353 P921 Q89091353-819C7F64-5034-4B65-97B6-0200C53A7091 @default.
- Q89091353 P356 ACS.JCIM.8B00286 @default.
- Q89091353 P698 29898360 @default.
- Q89091353 P1433 Q3007982 @default.
- Q89091353 P1476 "Perturbation-Theory and Machine Learning (PTML) Model for High-Throughput Screening of Parham Reactions: Experimental and Theoretical Studies" @default.
- Q89091353 P2093 "Lorena Simón-Vidal" @default.
- Q89091353 P2093 "Oihane García-Calvo" @default.
- Q89091353 P2093 "Sonia Arrasate" @default.
- Q89091353 P2093 "Uxue Oteo" @default.
- Q89091353 P2860 Q38916874 @default.
- Q89091353 P304 "1384-1396" @default.
- Q89091353 P31 Q13442814 @default.
- Q89091353 P356 "10.1021/ACS.JCIM.8B00286" @default.
- Q89091353 P433 "7" @default.
- Q89091353 P478 "58" @default.
- Q89091353 P50 Q56394765 @default.
- Q89091353 P50 Q57198270 @default.
- Q89091353 P50 Q57198276 @default.
- Q89091353 P577 "2018-06-27T00:00:00Z" @default.
- Q89091353 P698 "29898360" @default.
- Q89091353 P921 Q2539 @default.