Per-Ola Norrby, Ph.D.

Affiliations: 
1994-2000 Medicinal Chemistry Royal Danish School of Pharmacy 
 2000-2006 Chemistry (Organic chemistry) Technical University of Denmark, Kongens Lyngby, Denmark 
 2006-2014 Chemistry (Organic chemistry) University of Gothenburg, Gothenburg, Västra Götalands län, Sweden 
 2014- Data Science & Modelling AstraZeneca Gothenburg, Sweden 
Area:
molecular modeling, homogeneous catalysis, reaction mechanisms
Website:
https://www.linkedin.com/in/per-ola-norrby-a456403/
Google:
"Per-Ola Norrby"
Bio:

Twitter: @PeONor
Mastodon: https://mstdn.social/@peonor
1992: PhD, Organic Chemistry, Royal institute of technology (KTH), Stockholm, Sweden (advisor: Björn Åkermark)
1992-1993: Postdoc, The Scripps Research Institute, La Jolla, CA, USA (advisor: K. Barry Sharpless)
1994-1996: Postdoc, Royal Danish School of Pharmacy (DFH), Copenhagen, Denmark (advisor: Tommy Liljefors)

Mean distance: 7.37
 
SNBCP

Parents

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Björn Åkermark grad student 1992 KTH Royal Institute of Technology
 (Development of Molecular Mechanics for Use in (η3-Allyl) Palladium Chemistry)
K. Barry Sharpless post-doc 1992-1993 Scripps Institute
Tommy Liljefors post-doc 1994-1996 Danish School of Pharmacy (Neurotree)
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Publications

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Gahlawat S, Artelsmair M, Castro AC, et al. (2024) Computational Study of the Ir-Catalyzed Formation of Allyl Carbamates from CO. Organometallics. 43: 1818-1826
Wiest O, Bauer C, Helquist P, et al. (2024) Finding Relevant Retrosynthetic Disconnections for Stereocontrolled Reactions. Journal of Chemical Information and Modeling
Shinde GH, Ghotekar GS, Amombo Noa FM, et al. (2023) Regioselective halogenation of -aryl amides and ureas oxidative halodeboronation: harnessing boron reactivity for efficient C-halogen bond installation. Chemical Science. 14: 13429-13436
Saebi M, Nan B, Herr JE, et al. (2023) On the use of real-world datasets for reaction yield prediction. Chemical Science. 14: 4997-5005
Maloney MP, Coley CW, Genheden S, et al. (2023) Negative Data in Data Sets for Machine Learning Training. Organic Letters. 25: 2945-2947
Maloney MP, Coley CW, Genheden S, et al. (2023) Negative Data in Data Sets for Machine Learning Training. The Journal of Organic Chemistry. 88: 5239-5241
Jorner K, Tomberg A, Bauer C, et al. (2023) Publisher Correction: Organic reactivity from mechanism to machine learning. Nature Reviews. Chemistry. 5: 295
Wahlers J, Rosales AR, Berkel N, et al. (2022) A Quantum-Guided Molecular Mechanics Force Field for the Ferrocene Scaffold. The Journal of Organic Chemistry. 87: 12334-12341
Di Tommaso EM, Norrby PO, Olofsson B. (2022) Explaining Regio-Divergent Vinylations with Vinylbenziodoxolones. Angewandte Chemie (International Ed. in English)
Quinn TR, Patel HN, Koh KH, et al. (2022) Automated fitting of transition state force fields for biomolecular simulations. Plos One. 17: e0264960
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