KFU. Card publication. Discovery of novel chemical reactions by deep generative recurrent neural network

KAZAN
FEDERAL UNIVERSITY

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DISCOVERY OF NOVEL CHEMICAL REACTIONS BY DEEP GENERATIVE RECURRENT NEURAL NETWORK

Form of presentation

Articles in international journals and collections

Year of publication

2021

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Authors, employees of KFU

Madzhidov Timur Ismailovich, author

Bibliographic description in the original language

Bort W, Baskin I.I, Gimadiev T, Discovery of novel chemical reactions by deep generative recurrent neural network//Scientific Reports. - 2021. - Vol.11, Is.1. - Art. � 3178.

Keywords

chemoinformatics; reaction informatics; reaction prediction; Suzuki reaction; deep autoencoder; GTM

The name of the journal

SCIENTIFIC REPORTS

URL

https://www.nature.com/articles/s41598-021-81889-y

Please use this ID to quote from or refer to the card

https://repository.kpfu.ru/eng/?p_id=250711&p_lang=2

Full metadata record

Field DC	Value	Language
dc.contributor.author	Madzhidov Timur Ismailovich	ru_RU
dc.date.accessioned	2021-01-01T00:00:00Z	ru_RU
dc.date.available	2021-01-01T00:00:00Z	ru_RU
dc.date.issued	2021	ru_RU
dc.identifier.citation	Bort W, Baskin I.I, Gimadiev T, Discovery of novel chemical reactions by deep generative recurrent neural network//Scientific Reports. - 2021. - Vol.11, Is.1. - Art. � 3178.	ru_RU
dc.identifier.uri	https://repository.kpfu.ru/eng/?p_id=250711&p_lang=2	ru_RU
dc.description.abstract	SCIENTIFIC REPORTS	ru_RU
dc.language.iso	ru	ru_RU
dc.subject		ru_RU
dc.title	Discovery of novel chemical reactions by deep generative recurrent neural network	ru_RU
dc.type	Articles in international journals and collections	ru_RU