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Predicting Highly Enantioselective Catalysts Using Tunable Fragment Descriptors.
Tsuji, Nobuya; Sidorov, Pavel; Zhu, Chendan; Nagata, Yuuya; Gimadiev, Timur; Varnek, Alexandre; List, Benjamin.
Affiliation
  • Tsuji N; Institute for Chemical Reaction Design and Discovery (WPI-ICReDD), Hokkaido University, Sapporo, 001-0021, Japan.
  • Sidorov P; Institute for Chemical Reaction Design and Discovery (WPI-ICReDD), Hokkaido University, Sapporo, 001-0021, Japan.
  • Zhu C; Max-Planck-Institut für Kohlenforschung, 45470, Mülheim an der Ruhr, Germany.
  • Nagata Y; Institute for Chemical Reaction Design and Discovery (WPI-ICReDD), Hokkaido University, Sapporo, 001-0021, Japan.
  • Gimadiev T; Institute for Chemical Reaction Design and Discovery (WPI-ICReDD), Hokkaido University, Sapporo, 001-0021, Japan.
  • Varnek A; Institute for Chemical Reaction Design and Discovery (WPI-ICReDD), Hokkaido University, Sapporo, 001-0021, Japan.
  • List B; Laboratory of Chemoinformatics, UMR 7140, CNRS, University of Strasbourg, 67081, Strasbourg, France.
Angew Chem Int Ed Engl ; 62(11): e202218659, 2023 Mar 06.
Article in En | MEDLINE | ID: mdl-36688354
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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies / Qualitative_research / Risk_factors_studies Language: En Journal: Angew Chem Int Ed Engl Year: 2023 Document type: Article Affiliation country:
Fulltext
Add to My VHL
Print
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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies / Qualitative_research / Risk_factors_studies Language: En Journal: Angew Chem Int Ed Engl Year: 2023 Document type: Article Affiliation country: