- Unique identifier:
- Restrictions to use:
- Academic or non-commercial use
- Input format:
- Web user interface
- Input data:
- A protein sequence.
- Computer skills:
- Documentation: http://csbio.njust.edu.cn:8080/TargetDisulfide/Readme.htm
No open topic.
(Yu et al., 2015)
Disulfide Connectivity Prediction Based on Modelled Protein 3D Structural Information and Random Forest Regression.
IEEE Trans Comput Biol Bioinform.
PMID: 26357272 DOI: 10.1109/TCBB.2014.2359451
School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China; Changshu Institute, Nanjing University of Science and Technology, Changshu, China; School of Computer Science and Engineering, Jiangsu University of Science and Technology, Zhenjiang, China; Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, Shanghai, China; Key Laboratory of System Control and Information Processing, Ministry of Education of China, Shanghai, China
Supported by the National Natural Science Foundation of China (Nos. 61373062, 61175024, 61222306, 61100116, and 61233011), The Natural Science Foundation of Jiangsu (No. BK20141403), Jiangsu Postdoctoral Science Foundation (No. 1201027C), China Postdoctoral Science Foundation (Nos. 2013M530260, 2014T70526), “The Six Top Talents” of Jiangsu Province (No. 2013-XXRJ-022), the Fundamental Research Funds for the Central Universities (No. 30920130111010).
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