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Computational planning of the synthesis of complex natural products.
Nature. 2020 Dec;588(7836):83-88. doi: 10.1038/s41586-020-2855-y. Epub 2020 Oct 13.
Nature. 2020.
PMID: 33049755
Selection of cost-effective yet chemically diverse pathways from the networks of computer-generated retrosynthetic plans.
Badowski T, Molga K, Grzybowski BA.
Badowski T, et al.
Chem Sci. 2019 Mar 1;10(17):4640-4651. doi: 10.1039/c8sc05611k. eCollection 2019 May 7.
Chem Sci. 2019.
PMID: 31123574
Free PMC article.
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Synergy Between Expert and Machine-Learning Approaches Allows for Improved Retrosynthetic Planning.
Badowski T, Gajewska EP, Molga K, Grzybowski BA.
Badowski T, et al.
Angew Chem Int Ed Engl. 2020 Jan 7;59(2):725-730. doi: 10.1002/anie.201912083. Epub 2019 Nov 21.
Angew Chem Int Ed Engl. 2020.
PMID: 31750610
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Is Organic Chemistry Really Growing Exponentially?
Szymkuć S, Badowski T, Grzybowski BA.
Szymkuć S, et al. Among authors: badowski t.
Angew Chem Int Ed Engl. 2021 Dec 6;60(50):26226-26232. doi: 10.1002/anie.202111540. Epub 2021 Nov 9.
Angew Chem Int Ed Engl. 2021.
PMID: 34558168
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Prediction of Major Regio-, Site-, and Diastereoisomers in Diels-Alder Reactions by Using Machine-Learning: The Importance of Physically Meaningful Descriptors.
Beker W, Gajewska EP, Badowski T, Grzybowski BA.
Beker W, et al. Among authors: badowski t.
Angew Chem Int Ed Engl. 2019 Mar 26;58(14):4515-4519. doi: 10.1002/anie.201806920. Epub 2018 Dec 4.
Angew Chem Int Ed Engl. 2019.
PMID: 30398688
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