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The Open Reaction Database
Author(s) -
Steven Kearnes,
Michael Maser,
Michael Wleklinski,
Anton Kast,
Abigail G. Doyle,
Spencer D. Dreher,
Joel M. Hawkins,
Klavs F. Jensen,
Connor W. Coley
Publication year - 2021
Publication title -
journal of the american chemical society
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 7.115
H-Index - 612
eISSN - 1520-5126
pISSN - 0002-7863
DOI - 10.1021/jacs.1c09820
Subject(s) - schema (genetic algorithms) , structuring , computer science , schema evolution , data sharing , chemistry , database schema , database , world wide web , information retrieval , database design , medicine , alternative medicine , finance , pathology , economics
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.

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