Correction to: The chemfp project
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Journal of Cheminformatics Open Access
CORRECTION
Correction to: The chemfp project Andrew Dalke*
Correction to: J Cheminform (2019) 11:76 https://doi.org/10.1186/s13321-019-0398-8
It was highlighted that the original article [1] contained a mistake in the Abstract and in the legend of Fig. 3. This Correction article shows the incorrect and correct sentence of the Abstract and the correct Fig. 3. Incorrect sentence The same search of 970 million PubChem fingerprints averages 220 ms/query, making chemfp one of the fastest CPU-based similarity search implementations. Correct sentence The same search of 97 million PubChem fingerprints averages 220 ms/ query, making chemfp one of the fastest CPU-based similarity search implementations.
The original article can be found online at https://doi.org/10.1186/s1332 1-019-0398-8. *Correspondence: [email protected] Andrew Dalke Scientifc AB, Trollhättan, Sweden © The Author(s) 2020. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativeco mmons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/ zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
Dalke J Cheminform
(2020) 12:59
Page 2 of 2
Fig. 3 The same search of 97 million PubChem fingerprints averages 220 ms/query, making chemfp one of the fastest CPU-based similarity search implementations
Reference 1. Dalke A (2019) The chemfp project. J Cheminform. 11:76. https://doi. org/10.1186/s13321-019-0398-8
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