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The Open Reaction Database.
Kearnes, Steven M; Maser, Michael R; Wleklinski, Michael; Kast, Anton; Doyle, Abigail G; Dreher, Spencer D; Hawkins, Joel M; Jensen, Klavs F; Coley, Connor W.
Afiliación
  • Kearnes SM; Relay Therapeutics, Cambridge, Massachusetts 02139, United States.
  • Maser MR; Division of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, California 91125, United States.
  • Wleklinski M; Chemistry Capabilities Accelerating Therapeutics, Merck & Co., Inc., Kenilworth, New Jersey 07033, United States.
  • Kast A; Google LLC, Mountain View, California 94043, United States.
  • Doyle AG; Department of Chemistry & Biochemistry, University of California at Los Angeles, Los Angeles, California 90095, United States.
  • Dreher SD; Chemistry Capabilities Accelerating Therapeutics, Merck & Co., Inc., Kenilworth, New Jersey 07033, United States.
  • Hawkins JM; Chemical Research and Development, Pfizer Worldwide Research and Development, Groton, Connecticut 06340, United States.
  • Jensen KF; Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States.
  • Coley CW; Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States.
J Am Chem Soc ; 143(45): 18820-18826, 2021 11 17.
Article en En | MEDLINE | ID: mdl-34727496
ABSTRACT
Chemical reaction data in journal articles, patents, and even electronic laboratory notebooks are currently stored in various formats, often unstructured, which presents a significant barrier to downstream applications, including the training of machine-learning models. We present the Open Reaction Database (ORD), an open-access schema and infrastructure for structuring and sharing organic reaction data, including a centralized data repository. The ORD schema supports conventional and emerging technologies, from benchtop reactions to automated high-throughput experiments and flow chemistry. The data, schema, supporting code, and web-based user interfaces are all publicly available on GitHub. Our vision is that a consistent data representation and infrastructure to support data sharing will enable downstream applications that will greatly improve the state of the art with respect to computer-aided synthesis planning, reaction prediction, and other predictive chemistry tasks.

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: J Am Chem Soc Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: J Am Chem Soc Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos
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