Krein support vector machine classification of antimicrobial peptides
Joseph RedshawSchool of Chemistry, University of Nottingham, University Park, Nottingham, NG7 2RD, UKDarren Shu Jeng TingAcademic Ophthalmology, School of Medicine, University of Nottingham, Nottingham, NG7 2UH, UKAlex BrownArtificial Intelligence and Machine Learning, GSK Medicines Research Centre, Gunnels Wood Road, Stevenage, SG1 2NY, UKJonathan D. HirstSchool of Chemistry, University of Nottingham, University Park, Nottingham, NG7 2RD, UKThomas GärtnerMachine Learning Group, TU Wien Informatics, Vienna, Austria
2023en
ABI
Аннотация
, in order to evaluate the applicability of our methodology in predicting microbe-specific activity. In this case, our best models achieve an AUC of 0.982 and 0.891, respectively. Models to predict both general and microbe-specific activities are made available as web applications.
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