Cargando…
Sequence Based Prediction of Antioxidant Proteins Using a Classifier Selection Strategy
Antioxidant proteins perform significant functions in maintaining oxidation/antioxidation balance and have potential therapies for some diseases. Accurate identification of antioxidant proteins could contribute to revealing physiological processes of oxidation/antioxidation balance and developing no...
Autores principales: | Zhang, Lina, Zhang, Chengjin, Gao, Rui, Yang, Runtao, Song, Qing |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5035026/ https://www.ncbi.nlm.nih.gov/pubmed/27662651 http://dx.doi.org/10.1371/journal.pone.0163274 |
Ejemplares similares
-
Prediction of aptamer-protein interacting pairs using an ensemble classifier in combination with various protein sequence attributes
por: Zhang, Lina, et al.
Publicado: (2016) -
An Effective Antifreeze Protein Predictor with Ensemble Classifiers and Comprehensive Sequence Descriptors
por: Yang, Runtao, et al.
Publicado: (2015) -
Using a Classifier Fusion Strategy to Identify Anti-angiogenic Peptides
por: Zhang, Lina, et al.
Publicado: (2018) -
An Ensemble Method to Distinguish Bacteriophage Virion from Non-Virion Proteins Based on Protein Sequence Characteristics
por: Zhang, Lina, et al.
Publicado: (2015) -
A Two-Step Feature Selection Method to Predict Cancerlectins by Multiview Features and Synthetic Minority Oversampling Technique
por: Yang, Runtao, et al.
Publicado: (2018)