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PerseuCPP: a machine learning strategy to predict cell-penetrating peptides and their uptake efficiency.

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Title: PerseuCPP: a machine learning strategy to predict cell-penetrating peptides and their uptake efficiency.
Authors: Bernardes-Loch RM; Department of Biochemistry and Molecular Biology, Universidade Federal de Viçosa, Viçosa-MG 36570-900, Brazil., de Oliveira Almeida G; Department of Computer Science, Universidade Federal de Viçosa, Viçosa-MG 36570-900, Brazil., Brasiliano IT; Department of Computer Science, Universidade Federal de Viçosa, Viçosa-MG 36570-900, Brazil., Meira W Jr; Department of Computer Science, Universidade Federal de Minas Gerais, Belo Horizonte-MG 31270-901, Brazil., Pires DEV; School of Computing and Information Systems, University of Melbourne, Parkville 3052, Australia., Baracat-Pereira MC; Department of Biochemistry and Molecular Biology, Universidade Federal de Viçosa, Viçosa-MG 36570-900, Brazil., de Azevedo Silveira S; Department of Computer Science, Universidade Federal de Viçosa, Viçosa-MG 36570-900, Brazil.; IDATA-Institute of Artificial Intelligence and Computational Science, Universidade Federal de Viçosa, Viçosa-MG 36570-900, Brazil.
Source: Bioinformatics advances [Bioinform Adv] 2025 Sep 08; Vol. 5 (1), pp. vbaf213. Date of Electronic Publication: 2025 Sep 08 (Print Publication: 2025).
Publication Type: Journal Article
Journal Info: Publisher: Oxford University Press Country of Publication: England NLM ID: 9918282081306676 Publication Model: eCollection Cited Medium: Internet ISSN: 2635-0041 (Electronic) Linking ISSN: 26350041 NLM ISO Abbreviation: Bioinform Adv Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Bernardes-Loch+RM%22">Bernardes-Loch RM</searchLink>; Department of Biochemistry and Molecular Biology, Universidade Federal de Viçosa, Viçosa-MG 36570-900, Brazil.<br /><searchLink fieldCode="AU" term="%22de+Oliveira+Almeida+G%22">de Oliveira Almeida G</searchLink>; Department of Computer Science, Universidade Federal de Viçosa, Viçosa-MG 36570-900, Brazil.<br /><searchLink fieldCode="AU" term="%22Brasiliano+IT%22">Brasiliano IT</searchLink>; Department of Computer Science, Universidade Federal de Viçosa, Viçosa-MG 36570-900, Brazil.<br /><searchLink fieldCode="AU" term="%22Meira+W+Jr%22">Meira W Jr</searchLink>; Department of Computer Science, Universidade Federal de Minas Gerais, Belo Horizonte-MG 31270-901, Brazil.<br /><searchLink fieldCode="AU" term="%22Pires+DEV%22">Pires DEV</searchLink>; School of Computing and Information Systems, University of Melbourne, Parkville 3052, Australia.<br /><searchLink fieldCode="AU" term="%22Baracat-Pereira+MC%22">Baracat-Pereira MC</searchLink>; Department of Biochemistry and Molecular Biology, Universidade Federal de Viçosa, Viçosa-MG 36570-900, Brazil.<br /><searchLink fieldCode="AU" term="%22de+Azevedo+Silveira+S%22">de Azevedo Silveira S</searchLink>; Department of Computer Science, Universidade Federal de Viçosa, Viçosa-MG 36570-900, Brazil.; IDATA-Institute of Artificial Intelligence and Computational Science, Universidade Federal de Viçosa, Viçosa-MG 36570-900, Brazil.
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              Text: 2025 Sep 08
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