Data-driven prediction of antiviral peptides based on periodicities of amino acid properties

• Published in: Computer Aided Chemical Engineering Vol. 50; pp. 2019 - 2024
• Main Authors: Kieslich, Chris A., Alimirzaei, Fatemeh, Song, Hyeju, Do, Matthew, Hall, Paige
• Format: Book Chapter Journal Article
• Language: English
• Published: Elsevier B.V 2021
• Subjects: Antiviral peptides; Computational biology; Feature selection; Machine learning; Support vector machines; Support vector machines; Feature selection; Antiviral peptides; Machine learning; Computational biology

With the emergence of new pathogens, e.g., methicillin-resistant Staphylococcus aureus (MRSA), and the recent novel coronavirus pandemic, there has been an ever-increasing need for novel antimicrobial therapeutics. In this work, we have developed support vector machine (SVM) models to predict antivi...