STOUT V2.0: SMILES to IUPAC name conversion using transformer models

  • Naming chemical compounds systematically is a complex task governed by a set of rules established by the International Union of Pure and Applied Chemistry (IUPAC). These rules are universal and widely accepted by chemists worldwide, but their complexity makes it challenging for individuals to consistently apply them accurately. A translation method can be employed to address this challenge. Accurate translation of chemical compounds from SMILES notation into their corresponding IUPAC names is crucial, as it can significantly streamline the laborious process of naming chemical structures. Here, we present STOUT (SMILES-TO-IUPAC-name translator) V2.0, which addresses this challenge by introducing a transformer-based model that translates string representations of chemical structures into IUPAC names. Trained on a dataset of nearly 1 billion SMILES strings and their corresponding IUPAC names, STOUT V2.0 demonstrates exceptional accuracy in generating IUPAC names, even for complex chemical structures. The model's ability to capture intricate patterns and relationships within chemical structures enables it to generate precise and standardised IUPAC names. Deterministic algorithms for systematically naming chemical structures have been available for many years. Also, this work has only been possible through an academic license for OpenEye’s Lexichem software.

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Author:Kohulan Rajan, Achim Zielesny, Christoph Steinbeck
DOI:https://doi.org/10.26434/chemrxiv-2024-089vs
Parent Title (German):ChemRxiv
Document Type:Preprint
Language:English
Date of Publication (online):2024/09/02
Date of first Publication:2024/09/02
Publishing Institution:Westfälische Hochschule Gelsenkirchen Bocholt Recklinghausen
Release Date:2024/11/21
Tag:Artificial Intelligence; Chemical name translation; Deep Learning; Transformers
Departments / faculties:Institute / Institut für biologische und chemische Informatik
Licence (German):License LogoEs gilt das Urheberrechtsgesetz

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