iBitter-Fuse: A Novel Sequence-Based Bitter Peptide Predictor by Fusing Multi-View Features

iBitter-Fuse: A Novel Sequence-Based Bitter Peptide Predictor by Fusing Multi-View Features

Accurate identification of bitter peptides is of great importance for better understanding their biochemical and biophysical properties. To date, machine learning-based methods have become effective approaches for providing a good avenue for identifying potential bitter peptides from large-scale pro...

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Bibliographic Details
Main Authors: Phasit Charoenkwan, Chanin Nantasenamat, Md. Mehedi Hasan, Mohammad Ali Moni, Pietro Lio’, Watshara Shoombuatong
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:International Journal of Molecular Sciences
Subjects:
bitter peptide
bioinformatics
support vector machine
feature selection
machine learning
classification
Online Access:https://www.mdpi.com/1422-0067/22/16/8958

Internet

https://www.mdpi.com/1422-0067/22/16/8958

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