Mapping the Molecular Universe: Exploring Chemical Compound Space by Multiscale High-Throughput Screening and Machine Learning

Soares TA, Nunes-Alves A, Bereau T, Friederich P, Gryn’ova G, Müller C, Wade RC, Merz K (2026)

Publication Type: Journal article

Publication year: 2026

Journal

Journal of Chemical Information and Modeling American Chemical Society

Book Volume: 66

Pages Range: 6809-6813

Journal Issue: 12

DOI: 10.1021/acs.jcim.6c01719

Authors with CRIS profile

Carolin Müller

Involved external institutions

Friedrich-Schiller-Universität Jena DE Germany (DE)

How to cite

APA:

Soares, T.A., Nunes-Alves, A., Bereau, T., Friederich, P., Gryn’ova, G., Müller, C.,... Merz, K. (2026). Mapping the Molecular Universe: Exploring Chemical Compound Space by Multiscale High-Throughput Screening and Machine Learning. Journal of Chemical Information and Modeling, 66(12), 6809-6813. https://doi.org/10.1021/acs.jcim.6c01719

MLA:

Soares, Thereza A., et al. "Mapping the Molecular Universe: Exploring Chemical Compound Space by Multiscale High-Throughput Screening and Machine Learning." Journal of Chemical Information and Modeling 66.12 (2026): 6809-6813.

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