StackedEnC-AOP: prediction of antioxidant proteins using transform evolutionary and sequential features based multi-scale vector with stacked ensemble learning

StackedEnC-AOP: prediction of antioxidant proteins using transform evolutionary and sequential features based multi-scale vector with stacked ensemble learning

Abstract Background Antioxidant proteins are involved in several biological processes and can protect DNA and cells from the damage of free radicals. These proteins regulate the body's oxidative stress and perform a significant role in many antioxidant-based drugs. The current invitro-based med...

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Bibliographic Details
Main Authors: Gul Rukh, Shahid Akbar, Gauhar Rehman, Fawaz Khaled Alarfaj, Quan Zou
Format: Article
Language:English
Published: BMC 2024-08-01
Series:BMC Bioinformatics
Subjects:
Antioxidant proteins
Transformation
Evolutionary features
Stacked ensemble model
Feature selection
Prediction
Online Access:https://doi.org/10.1186/s12859-024-05884-6

Internet

https://doi.org/10.1186/s12859-024-05884-6

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