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. 2019 Oct 11;9:14696. doi: 10.1038/s41598-019-50635-w

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© The Author(s) 2019

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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bNAb-ReP prediction performance on clinical HIV-1 isolates from Bar et al. and Ssemwanga et al. studies. (A) Bar plots highlighting the number of clinical HIV-1 isolates, introduced in the Bar et al. study, separated according to their in silico predictions. Resistant in silico predictions for bNAbs VRC01, 3BNC117, 10–1074, and PGT121 are shown in red and sensitive in cyan, with darker colors representing accurate predictions and light colors inaccurate ones, respectively. (B) Bar plots depicting the number of isolates, introduced by Ssemwanga et al., with resistant in silico predictions shown in red and sensitive in cyan.