EDITORIAL: Chemical Compound Space Exploration by Multiscale High-Throughput Screening and Machine Learning

Ganna Gryn’ova; Tristan Bereau; Carolin Müller; Pascal Friederich; Rebecca C. Wade; Ariane Nunes-Alves; Thereza A. Soares; Kenneth Merz

doi:10.1021/acs.jcim.4c01300

EDITORIAL: Chemical Compound Space Exploration by Multiscale High-Throughput Screening and Machine Learning

Ganna Gryn’ova^*
, Tristan Bereau^*
, Carolin Müller^*
, Pascal Friederich^*
, Rebecca C. Wade^*
, Ariane Nunes-Alves
, Thereza A. Soares
, Kenneth Merz

^*Corresponding author for this work

Chemistry

Research output: Contribution to journal › Editorial › peer-review

Original language	English
Pages (from-to)	5737-5738
Number of pages	2
Journal	Journal of Chemical Information and Modeling
Volume	64
Issue number	15
DOIs	https://doi.org/10.1021/acs.jcim.4c01300
Publication status	Published - 12 Aug 2024

ASJC Scopus subject areas

General Chemistry
General Chemical Engineering
Computer Science Applications
Library and Information Sciences

Access to Document

10.1021/acs.jcim.4c01300

Cite this

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title = "EDITORIAL: Chemical Compound Space Exploration by Multiscale High-Throughput Screening and Machine Learning",

author = "Ganna Gryn{\textquoteright}ova and Tristan Bereau and Carolin M{\"u}ller and Pascal Friederich and Wade, \{Rebecca C.\} and Ariane Nunes-Alves and Soares, \{Thereza A.\} and Kenneth Merz",

year = "2024",

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AU - Gryn’ova, Ganna

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AU - Friederich, Pascal

AU - Wade, Rebecca C.

AU - Nunes-Alves, Ariane

AU - Soares, Thereza A.

AU - Merz, Kenneth

PY - 2024/8/12

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