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. 2021 Sep 16;3(3):lqab079. doi: 10.1093/nargab/lqab079

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© The Author(s) 2021. Published by Oxford University Press on behalf of NAR Genomics and Bioinformatics.

This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com

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Figure 4. — Comparison to the BLOSUM and PAM substitution matrices. (A) Spearman’s correlation coefficients (ρ) between the rows of HA³ and the corresponding rows of different versions of the BLOSUM matrices. For example, the rightmost bar refers to the consistency between the substitution probabilities of glycine (G) according to HA³ and the corresponding substitution scores according to BLOSUM₁₀₀. Dotted lines signify the average correlation coefficients across all AA. (B) Spearman’s correlation coefficients (ρ) between the rows of HA³ and the corresponding rows of different versions of the PAM matrices. (C) The average correlation coefficients between BLOSUM matrices and different powers of HA¹. Increasing powers of HA represent an increasing number of consecutive substitutions (which signify longer evolutionary timescales). (D) Average correlation coefficients between PAM matrices and different powers of HA¹.