Meta-iAVP: A Sequence-Based Meta-Predictor for Improving the Prediction of Antiviral Peptides Using Effective Feature Representation

Meta-iAVP: A Sequence-Based Meta-Predictor for Improving the Prediction of Antiviral Peptides Using Effective Feature Representation

In spite of the large-scale production and widespread distribution of vaccines and antiviral drugs, viruses remain a prominent human disease. Recently, the discovery of antiviral peptides (AVPs) has become an influential antiviral agent due to their extraordinary advantages. With the avalanche of ne...

Full description

Bibliographic Details
Main Authors: Nalini Schaduangrat, Chanin Nantasenamat, Virapong Prachayasittikul, Watshara Shoombuatong
Format: Article
Language:English
Published: MDPI AG 2019-11-01
Series:International Journal of Molecular Sciences
Subjects:
therapeutic peptides
antiviral peptide
classification
machine learning
random forest
meta-predictor
Online Access:https://www.mdpi.com/1422-0067/20/22/5743

Internet

https://www.mdpi.com/1422-0067/20/22/5743

Similar Items