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. 2020 Sep 16;10:15165. doi: 10.1038/s41598-020-71744-x

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© The Author(s) 2020

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 license, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.

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Graphical schematic for steps in the IMPROvER pipeline. Scheme of variant selection using IMPROvER, highlighting the three main modules: deep-sequence (blue), model-based (green) and data-driven (red). Once positions have been selected, they are compared against a list of residues to be excluded (e.g. those known to be critical to function from the literature).