pAtbP-EnC: Identifying Anti-Tubercular Peptides Using Multi-Feature Representation and Genetic Algorithm-Based Deep Ensemble Model

pAtbP-EnC: Identifying Anti-Tubercular Peptides Using Multi-Feature Representation and Genetic Algorithm-Based Deep Ensemble Model

Mycobacterium tuberculosis, a highly perilous pathogen in humans, serves as the causative agent of tuberculosis (TB), affecting nearly 33% of the global population. With the increasing prevalence of multidrug-resistant TB, there is a need for novel and efficacious alternative therapies. P...

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Bibliographic Details
Main Authors: Shahid Akbar, Ali Raza, Tamara Al Shloul, Ashfaq Ahmad, Aamir Saeed, Yazeed Yasin Ghadi, Orken Mamyrbayev, Elsayed Tag-Eldin
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Anti-tubercular peptides
ensemble classification
genetic algorithm
hybrid representation
k-fold cross-validation test
Online Access:https://ieeexplore.ieee.org/document/10268427/

Internet

https://ieeexplore.ieee.org/document/10268427/

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