Data Checking of Asymmetric Catalysis Literature Using a Graph Neural Network Approach

Data Checking of Asymmetric Catalysis Literature Using a Graph Neural Network Approach

The range of chemical databases available has dramatically increased in recent years, but the reliability and quality of their data are often negatively affected by human-error fidelity. The size of chemical databases can make manual data curation/checking of such sets time consuming; thus, automate...

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Bibliographic Details
Main Authors: Eduardo Aguilar-Bejarano, Viraj Deorukhkar, Simon Woodward
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Molecules
Subjects:
graph neural networks
stereochemical misassignment
database curation
Online Access:https://www.mdpi.com/1420-3049/30/2/355
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