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. 2021 May 31;12:3258. doi: 10.1038/s41467-021-23539-5

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© The Author(s) 2021

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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Fig. 2 — a A comparison of known LIR motifs and corresponding proteins collected by iLIR¹⁹, hfAIM²⁰, and pLIRm, as well as the distribution of our collected data in H. sapiens and S. cerevisiae and other species (Supplementary Data 1). b A sequence logo of known LIR motifs was generated by WebLogo (http://weblogo.berkeley.edu/logo.cgi)⁷⁶. c A comparison of pLIRm to other methods, including iLIR¹⁹, hfAIM²⁰, three LIR motifs (WXXL, [ADEFGLPRSK][DEGMSTV][WFY][DEILQTV][ADEFHIKLMPSTV][ILV], and [DE][DEST][WFY][DELIV]x[ILV])^5,19,77, and four ELM motifs ([EDST].{0,2}[WFY]..P, [EDST].{0,2}[WFY][^RKPG][^PG][ILV], [EDST].{0,2}LVV, and [EDST].{0,2}[WFY]..[ILVFY])²¹. d The model-based algorithm pLAM for predicting Type I and Type II LAMs that potentially increase and decrease the binding affinity of cLIR motifs to LC3, respectively. e The distribution of numbers of potential LAMs, LIR motifs and LIRCPs reserved in each step of pLAM. f, g The GO- and KEGG-based enrichment analyses of finally reserved LAM-containing LIRCPs.