GPS-YNO2 swMATH ID: 36906 Software Authors: Liu, Z. X.; Gao, J.; Ma, Q.; Gao, X. J.; Ren, J.; Xue, Y. Description: GPS-YNO2: computational prediction of tyrosine nitration sites in proteins. The last decade has witnessed rapid progress in the identification of proteintyrosine nitration (PTN), which is an essential and ubiquitous post-translational modification (PTM) that plays a variety of important roles in both physiological and pathological processes, such as the immune response, cell death, aging and neurodegeneration. Identification of site-specific nitrated substrates is fundamental for understanding the molecular mechanisms and biological functions of PTN. In contrast with labor-intensive and time-consuming experimental approaches, here we report the development of the novel software package GPS-YNO2 to predict PTN sites. The software demonstrated a promising accuracy of 76.51 Homepage: http://yno2.biocuckoo.org Dependencies: JAVA Related Software: PLMLA; PSoL; iSNO-PseAAC; Cd-hit; Cell-PLoc; LIBSVM Cited in: 1 Document Cited by 4 Authors 1 Chai, Haiting 1 Ma, Zhiqiang 1 Ning, Qiao 1 Zhao, Xiaowei Cited in 1 Serial 1 Journal of Theoretical Biology Cited in 1 Field 1 Biology and other natural sciences (92-XX) Citations by Year