Following publication of the original article [1], the author identified an error in Fig. 2. The correct figure is given below.

The workflow for the performance evaluation of Ph-fp in similarity search and clustering. a Similarity search is evaluated using EF10 and AUC. b Clustering performance is evaluated using both external (ARI, NMI) and internal (Silhouette score) validation indices

Full size image

The original article has been corrected.

1. He K (2022) Pharmacological affinity fingerprints derived from bioactivity data for the identification of designer drugs. Journal of Cheminformatics 14:35. https://doi.org/10.1186/s13321-022-00607-6

   Article PubMed PubMed Central Google Scholar

Download references

Authors and Affiliations

1. Physical Sciences, Eastern Connecticut State University, 83 Windham St, Willimantic, CT, 06226, USA

   Kedan He

Authors

1. Kedan HeView author publications

   You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Kedan He.

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Open Access 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://creativecommons.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.

Reprints and Permissions

Cite this article

He, K. Correction to: Pharmacological affinity fingerprints derived from bioactivity data for the identification of designer drugs. J Cheminform 14, 42 (2022). https://doi.org/10.1186/s13321-022-00625-4

Download citation

• Published: 03 July 2022

• DOI: https://doi.org/10.1186/s13321-022-00625-4

Share this article

Anyone you share the following link with will be able to read this content:

Get shareable link

Sorry, a shareable link is not currently available for this article.

Copy to clipboard

Provided by the Springer Nature SharedIt content-sharing initiative

中文翻译：

---

更正为：源自生物活性数据的药理学亲和指纹，用于识别设计药物

在发表原始文章 [1] 后，作者发现图 2 中有错误。正确的图如下所示。

Ph-fp在相似性搜索和聚类中的性能评估工作流程。使用EF10 和 AUC 评估相似性搜索。b使用外部（ARI、NMI）和内部（剪影评分）验证指标评估聚类性能

全尺寸图片

原文章已更正。

1. He K (2022) 源自生物活性数据的药理学亲和指纹，用于识别设计药物。化学信息学杂志 14:35。https://doi.org/10.1186/s13321-022-00607-6

   文章 PubMed PubMed Central Google Scholar

下载参考资料

作者和附属机构

1. 物理科学，东康涅狄格州立大学，83 Windham St, Willimantic, CT, 06226, USA

   何克丹

作者

1. Kedan He查看作者的出版物

   您也可以在PubMed  Google Scholar中搜索此作者

通讯作者

给何克丹的来信。

出版商注

Springer Nature 对出版地图和机构附属机构的管辖权主张保持中立。

开放存取本文根据知识共享署名 4.0 国际许可进行许可，该许可允许以任何媒介或格式使用、共享、改编、分发和复制，只要您对原作者和来源给予适当的信任，并提供链接到知识共享许可，并说明是否进行了更改。本文中的图像或其他第三方材料包含在文章的知识共享许可中，除非在材料的信用额度中另有说明。如果文章的知识共享许可中未包含材料，并且您的预期用途不受法律法规的允许或超出允许的用途，则您需要直接从版权所有者那里获得许可。要查看此许可证的副本，请访问 http://creativecommons.org/licenses/by/4.0/。

转载和许可

引用这篇文章

He, K. 更正为：源自生物活性数据的药理学亲和指纹，用于识别设计药物。J Cheminform 14, 42 (2022)。https://doi.org/10.1186/s13321-022-00625-4

下载引文

• 发表：2022 年 7 月 3 日

• DOI ：https ://doi.org/10.1186/s13321-022-00625-4

分享这篇文章

与您共享以下链接的任何人都可以阅读此内容：

获取可分享的链接

抱歉，本文目前没有可共享的链接。

复制到剪贴板

由 Springer Nature SharedIt 内容共享计划提供