PredAPP: Predicting Anti-Parasitic Peptides with Undersampling and Ensemble Approaches-Reference-Cited by-同舟云学术

PredAPP: Predicting Anti-Parasitic Peptides with Undersampling and Ensemble Approaches

Published:2021-10-04 Issue: Volume: Page:
ISSN:1913-2751
Container-title:Interdisciplinary Sciences: Computational Life Sciences
language:en
Short-container-title:Interdiscip Sci Comput Life Sci

Author:

Zhang Wei,Xia Enhua,Dai Ruyu,Tang Wending,Bin Yannan^ORCID,Xia Junfeng^ORCID

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Recruitment Program for Leading Talent Team of Anhui Province

Anhui Department of Education

Project of Academic and Technology Leaders and Backup Candidate of Anhui Province

Open Fund of State Key Laboratory of Tea Plant Biology and Utilization

Publisher

Springer Science and Business Media LLC

Subject

Health Informatics,Computer Science Applications,General Biochemistry, Genetics and Molecular Biology

Link

https://link.springer.com/content/pdf/10.1007/s12539-021-00484-x.pdf

Reference39 articles.

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3. Ertabaklar H, Malatyali E, Aydin AM, Ertug S (2020) Drug resistance in parasitic diseases. Eur J 26(1):1–5. https://doi.org/10.5152/EurJTher.2019.18075

4. Bell A (2011) Antimalarial peptides: the long and the short of it. Curr Pharm Des 17(25):2719–2731. https://doi.org/10.2174/138161211797416057

5. Torrent M, Pulido D, Rivas L, Andreu D (2012) Antimicrobial peptide action on parasites. Curr Drug Targets 13(9):1138–1147. https://doi.org/10.2174/138945012802002393

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