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

Author:

Song Jiazhi123,Liu Guixia12,Song Chuyi4,Jiang Jingqing3

Affiliation:

1. College of Computer Science and Technology, Jilin University, Changchun, Jilin, PR China

2. Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun, Jilin, PR China

3. College of Computer Science and Technology, Inner Mongolia University for Nationalities, Tongliao, Inner Mongolia, PR China

4. College of Mathematics and Physics, Inner Mongolia University for Nationalities, Tongliao, Inner Mongolia, PR China

Funder

National Nature Science Foundation of China

The Natural Science Foundation of Jilin Province

Key Laboratory for Symbol Computation and Knowledge Engineering of the National Education Ministry of China, Jilin University

Publisher

Informa UK Limited

Subject

Biotechnology

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Prediction of Protein-ATP Binding Sites Based on Word Vector Convolution Model;Proceedings of the 2022 5th International Conference on Algorithms, Computing and Artificial Intelligence;2022-12-23

2. Prediction of protein mononucleotide binding sites using AlphaFold2 and machine learning;Computational Biology and Chemistry;2022-10

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