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. 2019 Nov 21;7:299. doi: 10.3389/fcell.2019.00299

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Copyright © 2019 Chen, Chen, Liu, Chen, Zhang, Li, Thierry-Mieg, Thierry-Mieg, Mattes, Ning and Shi.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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Identification and evaluation of SPs based on comprehensive human protein set. (A) Venn graph of human proteins used for SP identification in different databases. A total of 330,427 non-redundant proteins were integrated from Swiss-Prot, TrEMBL, RefSeq, Ensembl, and AceView databases. (B) The distribution of SPs identified in Swiss-Prot (1,635), TrEMBL (3,234), RefSeq (2,058), Ensembl (2,947), and AceView (2,934) databases. (C) The percentages of proteins passed and not passed the default SignalP cutoff (D-score >0.45) in GSSP and GSNP. (D) Comparison of our identified SPs with GSSP and GSNP. (E) Comparison of our identified SPs with other four known SP sets. (F) Distribution of SignalP D-scores in our identified SPs and other four SP sets.