Suitability of large language models for extraction of high-quality chemical reaction dataset from patent literature

Suitability of large language models for extraction of high-quality chemical reaction dataset from patent literature

Abstract With the advent of artificial intelligence (AI), it is now possible to design diverse and novel molecules from previously unexplored chemical space. However, a challenge for chemists is the synthesis of such molecules. Recently, there have been attempts to develop AI models for retrosynthes...

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Main Authors: Sarveswara Rao Vangala, Sowmya Ramaswamy Krishnan, Navneet Bung, Dhandapani Nandagopal, Gomathi Ramasamy, Satyam Kumar, Sridharan Sankaran, Rajgopal Srinivasan, Arijit Roy
Format: Article
Language:English
Published: BMC 2024-11-01
Series:Journal of Cheminformatics
Subjects:
Large language models
Reaction mining
Patents
Chemical reactions
Dataset construct
Online Access:https://doi.org/10.1186/s13321-024-00928-8
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https://doi.org/10.1186/s13321-024-00928-8

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