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SiameseCPP: a sequence-based Siamese network to predict cell-penetrating peptides by contrastive learning.

• Authors : Zhang, Xin¹ (AUTHOR); Wei, Lesong² (AUTHOR); Ye, Xiucai² (AUTHOR)

• Source: Briefings in Bioinformatics. Jan2023, Vol. 24 Issue 1, p1-10. 10p.

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CPPred-FL: a sequence-based predictor for large-scale identification of cell-penetrating peptides by feature representation learning.

• Authors : Qiang, Xiaoli¹ (AUTHOR); Zhou, Chen² (AUTHOR); Ye, Xiucai³ (AUTHOR)

• Source: Briefings in Bioinformatics. Jan2020, Vol. 21 Issue 1, p11-23. 13p.

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CPPred-FL: a sequence-based predictor for large-scale identification of cell-penetrating peptides by feature representation learning

• Authors : Xiaoli Qiang; Xiucai Ye; Leyi Wei

Subjects: 0301 basic medicine; Computer science; business.industry

• Source: Briefings in bioinformatics.

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Empirical comparison and analysis of web-based cell-penetrating peptide prediction tools.

• Authors : Su R; College of Intelligence and Computing, Tianjin University, Tianjin, China.; Hu J

Subjects: Internet*; Cell-Penetrating Peptides/Cell-Penetrating Peptides/Cell-Penetrating Peptides/*metabolism; Computational Biology/Computational Biology/Computational Biology/methods

• Source: Briefings in bioinformatics [Brief Bioinform] 2020 Mar 23; Vol. 21 (2), pp. 408-420.Publisher: Oxford University Press Country of Publication: England NLM ID: 100912837 Publication Model: Print Cited Medium: Internet ISSN:

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Empirical comparison and analysis of web-based cell-penetrating peptide prediction tools

• Authors : Jie Hu; Balachandran Manavalan; Leyi Wei

Subjects: Web server; Empirical comparison; Computer science

• Source: Briefings in bioinformatics. 21(2)

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