A Novel Prediction Method for ATP-Binding Sites From Protein Primary Sequences Based on Fusion of Deep Convolutional Neural Network and Ensemble Learning

A Novel Prediction Method for ATP-Binding Sites From Protein Primary Sequences Based on Fusion of Deep Convolutional Neural Network and Ensemble Learning

Accurately identifying protein-ATP (Adenosine-5'-triphosphate) binding sites is significant for protein function annotation and new drug invention. Previous studies often utilize classical machine learning classification algorithms to predict protein-ATP binding sites based on protein primary s...

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Bibliographic Details
Main Authors: Jiazhi Song, Yanchun Liang, Guixia Liu, Rongquan Wang, Liyan Sun, Ping Zhang
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Protein-ATP binding sites prediction
deep convolutional neural network
ensemble learning
inception neural network
protein primary sequence
Online Access:https://ieeexplore.ieee.org/document/8967091/

Internet

https://ieeexplore.ieee.org/document/8967091/

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