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. 2019 Jun 6;9:8338. doi: 10.1038/s41598-019-44500-z

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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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Influence of sequence features on protein expression levels. (a) For each type of sequence feature, a polyserial correlation coefficient between feature values and expression levels is shown with its p-value. The ΔG_UH gave the largest correlation coefficient, meaning that higher ΔG_UH (weaker mRNA secondary structures at 5′ regions) associate with higher expression levels. n.s.: p > 0.05. (b) The polyserial correlation coefficients for mRNA folding energies are shown using the different lengths of subsequences in 5′ UTR and the head coding region. The largest correlation coefficient was obtained when the full-length 5′ UTR and 33 head nucleotides were used, which is equivalent to ΔG_UH in (a).