Reply to the comment made by Šicho, Vorśilák and Svozil on ‘The Power metric: a new statistically robust enrichment-type metric for virtual screening applications with early recovery capability’

© The Author(s) 2018. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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. The authors of the comment [1] raised an interesting remark about the relation between the power metric (PM) [2] and the precision metric (PR), also known as the positive predictive value (PPV). In fact, this relation was noted before by the authors of the article that introduced the power metric [2]. Actually, this relationship is shared by all enrichment-type metrics, like the enrichment factor (EF) and ROC enrichment (ROCE), as can be noted by these equations: