Correction: Journal of Cheminformatics (2023) 15:55 https://doi.org/10.1186/s13321-023-00725-9
Following publication of the original article [1], the authors requested to correct the funding number NRF-2019M3E5D4066898 to NRF-2022M3E5F3081268.
Funding
This work was supported by the National Research Foundation of Korea (NRF) grants funded by the Korean government (MSIT) (Nos. NRF-2022M3E5F3081268, NRF-2020M3A9G7103933, and NRF2022R1C1C1005080). This research was supported by the BK21FOUR Program of the National Research Foundation of Korea (NRF) funded by the Ministry of Education (5120200513755). This work was also supported by the Korea Environment Industry & Technology Institute (KEITI) through the Technology Development Project for Safety Management of Household Chemical Products, funded by the Korea Ministry of Environment (MOE) (KEITI:2020002960002 and NTIS:1485017120).
The original article [1] has been corrected.
Reference
Ucak UV, Ashyrmamatov I, Lee J (2023) Improving the quality of chemical language model outcomes with atom-in-SMILES tokenization. J Cheminform 15:55. https://doi.org/10.1186/s13321-023-00725-9
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Ucak, U.V., Ashyrmamatov, I. & Lee, J. Correction: Improving the quality of chemical language model outcomes with atom-in-SMILES tokenization. J Cheminform 15, 70 (2023). https://doi.org/10.1186/s13321-023-00740-w
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DOI: https://doi.org/10.1186/s13321-023-00740-w