A novel sequence-based prediction method for ATP-binding sites using fusion of SMOTE algorithm and random forests classifier

A novel sequence-based prediction method for ATP-binding sites using fusion of SMOTE algorithm and random forests classifier

Correctly identifying the protein-ATP binding site is valuable for both protein function annotation and new drug discovery. However, the number of non-ATP-binding residues is much more than the number of ATP-binding residues, which makes the prediction a classical imbalanced learning problem. Previo...

Full description

Bibliographic Details
Main Authors: Jiazhi Song, Guixia Liu, Chuyi Song, Jingqing Jiang
Format: Article
Language:English
Published: Taylor & Francis Group 2020-01-01
Series:Biotechnology & Biotechnological Equipment
Subjects:
atp-binding
imbalanced-learning
protein sequences
smote
random forest
Online Access:http://dx.doi.org/10.1080/13102818.2020.1840436

Internet

http://dx.doi.org/10.1080/13102818.2020.1840436

Similar Items