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12 p, 1.5 MB Benchmarks in antimicrobial peptide prediction are biased due to the selection of negative data / Sidorczuk, Katarzyna (University of Wrocław) ; Gagat, Przemysław (University of Wrocław) ; Pietluch, Filip (University of Wrocław) ; Kała, Jakub (Warsaw University of Technology) ; Rafacz, Dominik (Warsaw University of Technology) ; Bąkała, Laura (Warsaw University of Technology) ; Słowik, Jadwiga (Warsaw University of Technology) ; Kolenda, Rafał (Wrocław University of Environmental and Life Sciences) ; Rödiger, Stefan (Brandenburg University of Technology Cottbus-Senftenberg) ; Fingerhut, Legana C H W (James Cook University. Department of Molecular and Cell Biology) ; Cooke, Ira R (James Cook University. Department of Molecular and Cell Biology) ; Mackiewicz, Paweł (University of Wrocław) ; Burdukiewicz, Michał (Universitat Autònoma de Barcelona. Institut de Biotecnologia i de Biomedicina "Vicent Villar Palasí")
Antimicrobial peptides (AMPs) are a heterogeneous group of short polypeptides that target not only microorganisms but also viruses and cancer cells. Due to their lower selection for resistance compared with traditional antibiotics, AMPs have been attracting the ever-growing attention from researchers, including bioinformaticians. [...]
2022 - 10.1093/bib/bbac343
Briefings in Bioinformatics, Vol. 23, Issue 5 (September 2022) , art. bbac343  

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