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. 2021 Mar 2;22:102. doi: 10.1186/s12859-021-04040-8

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© The Author(s) 2021

Open AccessThis 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.

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Fig. 1 — Comparison between actual and predicted LP-184 IC50 values. a Sensitivity profile of LP-184 in the 52 cell lines grouped by tumor type from NCI-60 panel. b Gene signature predictive of LP-184 response. c This boxplot shows proximity between actual and predicted LP-184 IC50 values (− log10 (Molar IC50)) on Y axis for individual tumor types on X axis from the blind test set of 37 solid tumor cell lines. d This graph shows Pearson correlation between actual and predicted LP-184 IC50 values from the blind test set of 37 solid tumor cell lines, covering 6 tumor types