GPS-YNO2: computational prediction of tyrosinenitration sites in proteins†
Abstract
The last decade has witnessed rapid progress in the identification of proteintyrosine
* Corresponding authors
a
Life Sciences School, Sun Yat-sen University (SYSU), Guangzhou, China
E-mail:
renjian.sysu@gmail.com
Fax: +86 20-39943788
Tel: +86 20-39943788
b Hefei National Laboratory for Physical Sciences at Microscale and School of Life Sciences, University of Science & Technology of China, Hefei, Anhui 230027, China
c
Hubei Bioinformatics and Molecular Imaging Key Laboratory, Department of Systems Biology, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China
E-mail:
xueyuhust@gmail.com, xueyu@mail.hust.edu.cn
Fax: +86 27-87793172
Tel: +86 27-87793903
The last decade has witnessed rapid progress in the identification of proteintyrosine
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