Machine Learning and Computational Chemistry for the Endocannabinoid System.
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| Title: | Machine Learning and Computational Chemistry for the Endocannabinoid System. |
|---|---|
| Authors: | Atz K; ETH Zurich, Department of Chemistry and Applied Biosciences, Zurich, Switzerland., Guba W; Roche Pharma Research & Early Development, Roche Innovation Center Basel, F. Hoffmann-La Roche Ltd., Basel, Switzerland., Grether U; Roche Pharma Research & Early Development, Roche Innovation Center Basel, F. Hoffmann-La Roche Ltd., Basel, Switzerland. uwe.grether@roche.com., Schneider G; ETH Zurich, Department of Chemistry and Applied Biosciences, Zurich, Switzerland.; ETH Singapore SEC Ltd, Singapore, Singapore. |
| Source: | Methods in molecular biology (Clifton, N.J.) [Methods Mol Biol] 2023; Vol. 2576, pp. 477-493. |
| Publication Type: | Journal Article; Review |
| Journal Info: | Publisher: Humana Press Country of Publication: United States NLM ID: 9214969 Publication Model: Print Cited Medium: Internet ISSN: 1940-6029 (Electronic) Linking ISSN: 10643745 NLM ISO Abbreviation: Methods Mol Biol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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