The publications of the CUCKOO Workgroup

Dr. Yu Xue's publications and citations can be available at below:



119. Wang C, Tan X, Tang D, Gou Y, Han C, Ning W, Lin S, Zhang W, Chen M, Peng D, Xue Y**. (2022) GPS-Uber: a hybrid-learning framework for prediction of general and E3-specific lysine ubiquitination sites. Brief Bioinform. 2022 Mar 10;23(2):bbab574. [PubMed][PDF]

118. CNCB-NGDC Members and Partners. (2022) Database Resources of the National Genomics Data Center, China National Center for Bioinformation in 2022. Nucleic Acids Res. 2022 Jan 7;50(D1):D27-D38. [PubMed][PDF]
My lab is a CNCB-NGDC partner, and contributed twelve databases including iCTCF, EPSD, DrLLPS, WERAM, dbPSP, CGDB, iEKPD, iUUCD, MiCroKiTS, PLMD, PTMD and THANATOS to this manuscript.

117. Zhang W, Tan X, Lin S, Gou Y, Han C, Zhang C, Ning W, Wang C, Xue Y**. (2022) CPLM 4.0: an updated database with rich annotations for protein lysine modifications. Nucleic Acids Res. 2022 Jan 7;50(D1):D451-D459. [PubMed][PDF]


116. Qiu Y, Wu D, Ning W, Xu J, Shu T, Huang M, Chen R, Zhang J, Han Y, Yang Q, Li R, Yang X, Wang Y, Zou X, Pan S, Huang C, Xue Y#, Shang Y#, Zhou X#. (2021) Post-mortem tissue proteomics reveals the pathogenesis of multi-organ injuries of COVID-19. Natl Sci Rev. 2021 Aug 10;8(11):nwab143.[PubMed][PDF]

115. Wang C, Li X, Ning W, Gong S, Yang F, Fang C, Gong Y, Wu D, Huang M, Gou Y, Fu S, Ren Y, Yang R, Qiu Y, Xue Y#, Xu Y#, Zhou X#. (2021) Multi-omic profiling of plasma reveals molecular alterations in children with COVID-19. Theranostics. 2021 Jul 6;11(16):8008-8026. [PubMed][PDF]

114. Li WJ, Wang CW, Tao L, Yan YH, Zhang MJ, Liu ZX, Li YX, Zhao HQ, Li XM, He XD, Xue Y#, Dong MQ#. (2021) Insulin signaling regulates longevity through protein phosphorylation in Caenorhabditis elegans. Nat Commun. 2021 Jul 27;12(1):4568. [PubMed][PDF]

113. Zhang W, Han Z, Xue Y#, Jia D#. (2021) iCAL: a new pipeline to investigate autophagy selectivity and cancer. Autophagy. 2021 Jul;17(7):1799-1801. [PubMed][PDF]

112. Han Z, Zhang W, Ning W, Wang C, Deng W, Li Z, Shang Z, Shen X, Liu X, Baba O, Morita T, Chen L, Xue Y#, Jia D#. (2021) Model-based analysis uncovers mutations altering autophagy selectivity in human cancer. Nat Commun. 2021 May 31;12(1):3258. [PubMed][PDF]

111. Peng D, Ruan C, Fu S, He C, Song J, Li H, Tu Y, Tang D, Yao L, Lin S, Shi Y, Zhang W, Zhou H, Zhu L, Ma C, Chang C, Ma J, Xie Z, Wang C#, Xue Y#. (2021) Atg9-centered multi-omics integration reveals new autophagy regulators in Saccharomyces cerevisiae. Autophagy. 2021 Dec;17(12):4453-4476. [PubMed][PDF]

110. Tan W, Jiang P, Zhang W, Hu Z, Lin S, Chen L, Li Y, Peng C, Li Z, Sun A, Chen Y, Zhu W, Xue Y, Yao Y, Li X, Song Q, He F, Qin W, Pei H. (2021) Posttranscriptional regulation of de novo lipogenesis by glucose-induced O-GlcNAcylation. Mol Cell. 2021 May 6;81(9):1890-1904.e7. [PubMed][PDF]

109. Klionsky DJ, ..., Xue Y, ..., Tong CK. (2021) Guidelines for the Use and Interpretation of Assays for Monitoring Autophagy (4th edition). Autophagy. 2021 Jan;17(1):1-382. [PubMed][PDF]
I am very pleased to be an authorship of this super paper on autophagy. We established a yeast model to analyze functional PTM events in autophagy, using both computational and experimental approaches. Also, our database, THANATOS (THe Apoptosis, Necrosis, AuTophagy OrchestratorS, was introduced and recommended in this guideline. In addition, our tool, DeepPhagy (deep learning for autophagy, was developed for quantitatively analyzing four types of autophagic phenotypes in Saccharomyces cerevisiae, including the vacuolar targeting of GFP-Atg8, the targeting of Atg1-GFP to the vacuole, the vacuolar delivery of GFP-Atg19, and the disintegration of autophagic bodies indicated by GFP-Atg8.

108.CNCB-NGDC Members and Partners. (2021) Database Resources of the National Genomics Data Center, China National Center for Bioinformation in 2021. Nucleic Acids Res. 2021 Jan 8;49(D1):D18-D28. [PubMed][PDF]
My lab is a CNCB-NGDC partner, and contributed eleven databases including EPSD, DrLLPS, WERAM, dbPSP, CGDB, iEKPD, iUUCD, MiCroKiTS, PLMD, PTMD and THANATOS to this manuscript.


107. Peng D, Li H, Hu B, Zhang H, Chen L, Lin S, Zuo Z, Xue Y, Ren J, Xie Y. (2020) PTMsnp: a web server for the identification of driver mutations that affect protein post-translational modification. Front Cell Dev Biol. 2020 Nov 10;8:593661. [PubMed][PDF]

106. Ning W, Lei S, Yang J, Cao Y, Jiang P, Yang Q, Zhang J, Wang X, Chen F, Geng Z, Xiong L, Zhou H, Guo Y, Zeng Y, Shi H, Wang L, Xue Y#, Wang Z#. (2020) Open resource of clinical data from patients with pneumonia for the prediction of COVID-19 outcomes via deep learning. Nat Biomed Eng. 2020 Dec;4(12):1197-1207. [PubMed][PDF]

105. Shu T, Ning W, Wu D, Xu J, Han Q, Huang M, Zou X, Yang Q, Yuan Y, Bie Y, Pan S, Mu J, Han Y, Yang X, Zhou H, Li R, Ren Y, Chen X, Yao S, Qiu Y, Zhang DY, Xue Y#, Shang Y#, Zhou X#. (2020) Plasma Proteomics Identify Biomarkers and Pathogenesis of COVID-19. Immunity. 2020 Nov 17;53(5):1108-1122.e5. [PubMed][PDF]

104. Ning W, Xu H, Jiang P, Cheng H, Deng W, Guo Y, Xue Y**. (2020) HybridSucc: A Hybrid-learning Architecture for General and Species-specific Succinylation Site Prediction. Genomics Proteomics Bioinformatics. 2020 Apr;18(2):194-207. [PubMed][PDF]

103. Wang C, Shui K, Ma S, Lin S, Zhang Y, Wen B, Deng W, Xu H, Hu H, Guo A, Xue Y#, Zhang L#. (2020) Integrated omics in Drosophila uncover a circadian kinome. Nat Commun. 2020 Jun 1;11(1):2710. [PubMed][PDF][Supplemental Data]

102. Shi Y, Zhang Y, Lin S, Wang C, Zhou J, Peng D#, Xue Y#. (2020) dbPSP 2.0, an Updated Database of Protein Phosphorylation Sites in Prokaryotes. Sci Data. 2020 May 29;7(1):164. [PubMed][PDF][Supplemental Data]

101. Guo Y, Ning W, Jiang P, Lin S, Wang C, Tan X, Yao L, Peng D, Xue Y**. (2020) GPS-PBS: A deep learning framework to predict phosphorylation sites that specifically interact with phosphoprotein-binding domains. Cells. 2020 May 20;9(5):1266. [PubMed][PDF][Supplemental Data]

100. Ruan C, Wang C, Gong X, Zhang Y, Deng W, Zhou J, Huang D, Wang Z, Zhang Q, Guo A, Lu J, Gao J#, Peng D#, Xue Y#. (2020) An integrative multi-omics approach uncovers the regulatory role of CDK7 and CDK4 in autophagy activation induced by silica nanoparticles. Autophagy. 2020 May 23;1-22. [PubMed][PDF][Supplemental Data]

99. Ning W, Jiang P, Guo Y, Wang C, Tan X, Zhang W, Peng D, Xue Y**. (2020) GPS-Palm: a deep learning-based graphic presentation system for the prediction of S-palmitoylation sites in proteins. Brief Bioinform. 2020 Apr 3;bbaa038. [PubMed][PDF][Supplemental Data]

98. Wang C, Xu H, Lin S, Deng W, Zhou J, Zhang Y, Shi Y, Peng D, Xue Y**. (2020) GPS 5.0: An Update on the Prediction of Kinase-specific Phosphorylation Sites in Proteins. Genomics Proteomics Bioinformatics. 2020 Mar 19;S1672-0229(20)30027-9. [PubMed][PDF][Supplemental Data]

97. Lin S, Wang C, Zhou J, Shi Y, Ruan C, Tu Y, Yao L, Peng D, Xue Y**. (2020) EPSD: a well-annotated data resource of protein phosphorylation sites in eukaryotes. Brief Bioinform. 2020 Feb 2;bbz169. [PubMed][PDF][Supplemental Data]

96. National Genomics Data Center Members and Partners. (2020) Database Resources of the National Genomics Data Center in 2020. Nucleic Acids Res. 2020 Jan 8;48(D1):D24-D33. [PubMed][PDF]
My lab is a NGDC partner, and contributed ten databases including dbPAF, WERAM, dbPPT, dbPSP, CGDB, iEKPD, iUUCD, MiCroKiTS, PLMD, PTMD and THANATOS to this manuscript.

95. Ning W, Guo Y, Lin S, Mei B, Wu Y, Jiang P, Tan X, Zhang W, Chen G, Peng D, Chu L#, Xue Y#. (2020) DrLLPS: a data resource of liquid-liquid phase separation in eukaryotes. Nucleic Acids Res. 2020 Jan 8;48(D1):D288-D295. [PubMed][PDF][Supplemental Data]


94. Zhang Y, Xie Y, Liu W, Deng W, Peng D, Wang C, Xu H, Ruan C, Deng Y, Guo Y, Lu C, Yi C, Ren J#, Xue Y#. (2019) DeepPhagy: a deep learning framework for quantitatively measuring autophagy activity in Saccharomyces cerevisiae. Autophagy. 2019 Jun 20:1-15. [PubMed][PDF][Supplemental Data]

93. Guo Y, Peng D, Zhou J, Lin S, Wang C, Ning W, Xu H, Deng W#, Xue Y#. (2019) iEKPD 2.0: an update with rich annotations for eukaryotic protein kinases, protein phosphatases and proteins containing phosphoprotein-binding domains. Nucleic Acids Res. 47(D1):D344-D350. [PubMed][PDF]

92. BIG Data Center Members. (2019) Database Resources of the BIG Data Center in 2019. Nucleic Acids Res. 47(D1):D8-D14. [PubMed][PDF]
My lab is a BIGD partner, and contributed ten databases including dbPAF, WERAM, dbPPT, dbPSP, CGDB, EKPD, iUUCD, MiCroKiTS, PLMD and THANATOS to this manuscript.


91. Xu H, Wang Y, Lin S, Deng W, Peng D, Cui Q#, Xue Y#. (2018) PTMD: A Database of Human Disease-associated Post-translational Modifications. Genomics Proteomics Bioinformatics. 16(4):244-251. [PubMed][PDF]

90. Ning W, Lin S, Zhou J, Guo Y, Zhang Y, Peng D, Deng W#, Xue Y#. (2018) WocEA: The visualization of functional enrichment results in word clouds. J Genet Genomics. 45(7):415-417. [PubMed][PDF]

89. Deng W, Ma L, Zhang Y, Zhou J, Wang Y, Liu Z, Xue Y**. (2018) THANATOS: an integrative data resource of proteins and post-translational modifications in the regulation of autophagy. Autophagy. 2018;14(2):296-310. [PubMed][PDF][Supplemental Data]

88. Zhou J, Xu Y, Lin S, Guo Y, Deng W, Zhang Y, Guo A, Xue Y**. (2018) iUUCD 2.0: an integrated database of regulators for ubiquitin and ubiquitin-like conjugation. Nucleic Acids Res. 46(D1):D477-453. [PubMed][PDF][Supplemental Data]

87. BIG Data Center Members. (2018) Database Resources of the BIG Data Center in 2018. Nucleic Acids Res. 46(D1):D14-20. [PubMed][PDF]
My lab is a BIGD partner, and contributed two databases including dbPAF and PLMD to this manuscript.


86. Chen LL, Wang YB, Song JX, Deng WK, Lu JH, Ma LL, Yang CB, Li M#, Xue Y#. (2017) Phosphoproteome-based kinase activity profiling reveals the critical role of MAP2K2 and PLK1 in neuronal autophagy. Autophagy. 2017;13(11):1969-1980. [PubMed][PDF][Supplemental Data]
This paper is the cover story of Autophagy.

85. Xu H, Zhou J, Lin S, Deng W, Zhang Y, Xue Y**. (2017) PLMD: an updated data resource of protein lysine modifications. J Genet Genomics. 44(5):243-250. [PubMed][PDF][Supplemental Data]

84. Xue Y#, Wang XJ#. (2017) Bioinformaticians wrestling with the big biomedical data. J Genet Genomics. 44(5):223-225. [PubMed][PDF]

83. Bezabih G, Cheng H, Han B, Feng M, Xue Y, Hu H, Li J. (2017) Phosphoproteome Analysis Reveals Phosphorylation Underpinnings in the Brains of Nurse and Forager Honeybees (Apis mellifera). Sci Rep. 7(1):1973. [PubMed][PDF]

82. Deng W, Wang Y, Ma L, Zhang Y, Ullah S, Xue Y**. (2017) Computational prediction of methylation types of covalently modified lysine and arginine residues in proteins. Brief Bioinform. 18(4):647-658. [PubMed][PDF][Supplemental Data]

81. Li S, Shui K, Zhang Y, Lv Y, Deng W, Ullah S, Zhang L#, Xue Y#. (2017) CGDB: a database of circadian genes in eukaryotes. Nucleic Acids Res. 45(D1):D397-D403. [PubMed][PDF][Supplemental Data]

80. Xu Y, Zhang S, Lin S, Guo Y, Deng W, Zhang Y, Xue Y**. (2017) WERAM: a database of writers, erasers and readers of histone acetylation and methylation in eukaryotes. Nucleic Acids Res. 45(D1):D264-D270. [PubMed][PDF][Supplemental Data]


79. Deng W, Wang C, Zhang Y, Xu Y, Zhang S, Liu Z#, Xue Y#. (2016) GPS-PAIL: prediction of lysine acetyltransferase-specific modification sites from protein sequences. Sci Rep. 6:39787. [PubMed][PDF][Supplemental Data]

78. Xu Y, Ding YX, Ding J, Wu LY, Xue Y**. (2016) Mal-Lys: prediction of lysine malonylation sites in proteins integrated sequence-based features with mRMR feature selection. Sci Rep. 6:38318. [PubMed][PDF][Supplemental Data]

77. Xue Y, Lameijer EW, Ye K, Zhang K, Chang S, Wang X, Wu J, Gao G, Zhao F, Li J, Han C, Xu S, Xiao J, Yang X, Ying X, Zhang X, Chen WH, Liu Y, Zhang Z, Huang K, Yu J. (2016) Precision Medicine: What Challenges Are We Facing? Genomics Proteomics Bioinformatics. 14(5):253-261. [PubMed][PDF]
This "News & Views" was written by participants after the "5th Young Bioinformatic PI workshop", which was organized by Dr. Xiaole Shirley Liu. The author order was determined according the time of texts received by Dr. Jun Yu. Everyone contributed equally to this essay.

76. Xie Y, Zheng Y, Li H, Luo X, He Z, Cao S, Shi Y, Zhao Q, Xue Y, Zuo Z, Ren J. (2016) GPS-Lipid: a robust tool for the prediction of multiple lipid modification sites. Sci Rep. 6:28249. [PubMed][PDF][Supplemental Data]

75. Xue Y**, Wang Y, Shen H. (2016) Ray Wu, fifth business or father of DNA sequencing? Protein Cell. 7(7):467-70. [PubMed][PDF]
This paper is my first essay on public science in English. Besides PTM Bioinformatics, I am also an active blogger on ScienceNet in China. The Chinese version of this essay can be available at: "Blog".

74. Zhang J, Tian Y, Yan L, Zhang G, Wang X, Zeng Y, Zhang J, Ma X, Tan Y, Long N, Wang Y, Ma Y, He Y, Xue Y, Hao S, Yang S, Wang W, Zhang L, Dong Y, Chen W, Sheng J. (2016) Genome of Plant Maca (Lepidium meyenii) Illuminates Genomic Basis for High-Altitude Adaptation in the Central Andes. Mol Plant. 9(7):1066-77. [PubMed][PDF][Supplemental Data]

73. Guo X, Lv X, Fang C, Lv X, Wang F, Wang D, Zhao J, Ma Y, Xue Y, Bai Q, Yao X, Chen Y. (2016) Dysbindin as a novel biomarker for pancreatic ductal adenocarcinoma identified by proteomic profiling. Int J Cancer. 2016 Oct 15;139(8):1821-9. [PubMed][PDF]

72. Ullah S, Lin S, Xu Y, Deng W, Ma L, Zhang Y, Liu Z#, Xue Y#. (2016) dbPAF: an integrative database of protein phosphorylation in animals and fungi. Sci Rep. 6:23534. [PubMed][PDF][Supplemental Data]

71. He CL, Bian YY, Xue Y, Liu ZX, Zhou KQ, Yao CF, Lin Y, Zou HF, Luo FX, Qu YY, Zhao JY, Ye ML, Zhao SM, Xu W. (2016) Pyruvate Kinase M2 Activates mTORC1 by Phosphorylating AKT1S1. Sci Rep. 6:21524. [PubMed][PDF][Supplemental Data]

70. Klionsky DJ, ..., Xue Y, ..., Zughaier SM. (2016) Guidelines for the use and interpretation of assays for monitoring autophagy (3rd edition). Autophagy. 12(1):1-222. [PubMed][PDF]
I am very pleased to be an authorship of this super paper on autophagy. We established a yeast model to analyze functional PTM events in autophagy, using both computational and experimental approaches. Also, our database, THANATOS (THe Apoptosis, Necrosis, AuTophagy OrchestratorS, was introduced and recommended in this guideline.

69. Zhong Z, Yang L, Zhang YE, Xue Y, He S. (2016) Correlated expression of retrocopies and parental genes in zebrafish. Mol Genet Genomics. 291(2):723-37. [PubMed][PDF][Supplemental Data]

68. Gao Y, Li Y, Zhang C, Zhao M, Deng C, Lan Q, Liu Z, Su N, Wang J, Xu F, Xu Y, Ping L, Chang L, Gao H, Wu J, Xue Y, Deng Z, Peng J, Xu P. (2016) Enhanced Purification of Ubiquitinated Proteins by Engineered Tandem Hybrid Ubiquitin-binding Domains (ThUBDs). Mol Cell Proteomics. 2016 Apr;15(4):1381-96. [PubMed][PDF]

67. IC4R Project Consortium, Hao L, Zhang H, Zhang Z, Hu S, Xue Y. (2016) Information Commons for Rice (IC4R). Nucleic Acids Res. 44(D1):D1172-80. [PubMed][PDF]


66. Feng W, Zhang W, Wang H, Ma L, Miao D, Liu Z, Xue Y, Deng H, Yu L. (2015) Analysis of phosphorylation sites on autophagy proteins. Protein Cell. 6(9):698-701. [PubMed][PDF][Supplemental Data]

65. Cheng H, Wang Y, Liu Z, Xue Y**. (2015) Computational identification of protein kinases and kinase-specific substrates in plants. Methods Mol Biol. 2015;1306:195-205. [PubMed][PDF]

64. Wang Y, Cheng H, Pan Z, Ren J, Liu Z#, Xue Y#. (2015) Reconfiguring phosphorylation signaling by genetic polymorphisms affects cancer susceptibility. J Mol Cell Biol. 7(3):187-202. [PubMed][PDF][Supplemental Data]
This paper is the first article of the JMCB Special Issue "Bio-network Medicine". Two Guest Editors, Dr. Luonan Chen and Dr. Jiarui Wu, wrote an editorial to highlight the importance of network medicine. I also wrote a blog on it, in Chinese.

63. Liu W, Xie Y, Ma J, Luo X, Nie P, Zuo Z, Lahrmann U, Zhao Q, Zheng Y, Zhao Y, Xue Y#, Ren J#. (2015) IBS: an illustrator for the presentation and visualization of biological sequences. Bioinformatics. 2015 Jun 10. pii: btv362. [PubMed][PDF][Supplemental Data]
This is a small but cute tool for preparing and visualizing biological sequences. I wrote a blog on it, in Chinese.

62. Liu Z, Cai Y, Guo X, Li A, Li T, Qiu J, Ren J, Shi S, Song J, Wang M, Xie L, Xue Y#, Zhang Z, Zhao X. (2015) Post-translational modification (PTM) bioinformatics in China: progresses and perspectives. DHEREDITAS(Beijing), 2015, 37(7): 621-634. [PDF, in Chinese][Weblink][CNKI]
This review was a consensus from a small conference of "Proteome-based Bioinformatics Symposium-2014". Up to 12 groups of Chinese Bioinformaticians who were working in the field of PTMs took a serious discussion, and highlighted the PTM research in the near future. The review was written in Chinese.

61. Pan Z, Wang B, Zhang Y, Wang Y, Ullah S, Jian R, Liu Z#, Xue Y#. (2015) dbPSP: a curated database for protein phosphorylation sites in prokaryotes. Database (Oxford). 2015:bav031. [PubMed][PDF]

60. Tian M, Cheng H, Wang Z, Su N, Liu Z, Sun C, Zhen B, Hong X, Xue Y, Xu P. (2015) Phosphoproteomic analysis of the highly-metastatic hepatocellular carcinoma cell line, MHCC97-H. Int J Mol Sci. 16(2):4209-25. [PubMed][PDF][Supplemental Data]

59. Zhang HM, Liu T, Liu CJ, Song S, Zhang X, Liu W, Jia H, Xue Y, Guo AY. (2015) AnimalTFDB 2.0: a resource for expression, prediction and functional study of animal transcription factors. Nucleic Acids Res. 43:D76-81. [PubMed][PDF][Supplemental Data]

58. Huang Z, Ma L, Wang Y, Pan Z, Ren J, Liu Z#, Xue Y#. (2015) MiCroKiTS 4.0: a database of midbody, centrosome, kinetochore, telomere and spindle. Nucleic Acids Res. 43:D328-34. [PubMed][PDF][Supplemental Data]


57. Cheng H, Deng W, Wang Y, Ren J, Liu Z#, Xue Y#. (2014) dbPPT: a comprehensive database of protein phosphorylation in plants. Database (Oxford). 2014:bau121. [PubMed][PDF][Supplemental Data]

56. Pan Z, Liu Z, Cheng H, Wang Y, Gao T, Ullah S, Ren J, Xue Y**. (2014) Systematic analysis of the in situ crosstalk of tyrosine modifications reveals no additional natural selection on multiply modified residues. Sci Rep. 4:7331. [PubMed][PDF][Supplemental Data]

55. Deng W, Wang Y, Liu Z, Cheng H, Xue Y**. (2014) HemI: A Toolkit for Illustrating Heatmaps. PLoS One. 9(11):e111988. [PubMed][PDF]

54. Qi L, Liu Z, Wang J, Cui Y, Guo Y, Zhou T, Zhou Z, Guo X#, Xue Y#, Sha J. (2014) Systematic Analysis of the Phosphoproteome and Kinase-substrate Networks in the Mouse Testis. Mol Cell Proteomics. 13(12):3626-38. [PubMed][PDF][Supplemental Data]

53. Zhao Q, Xie Y, Zheng Y, Jiang S, Liu W, Mu W, Liu Z, Zhao Y, Xue Y#, Ren J#. (2014) GPS-SUMO: a tool for the prediction of sumoylation sites and SUMO-interaction motifs. Nucleic Acids Res. 42:W325-30. [PubMed][PDF][Supplemental Data]

52. Yao Y, Ma L, Jia Q, Deng W, Liu Z, Zhang Y, Ren J, Xue Y, Jia H, Yang Q. (2014) Systematic characterization of small RNAome during zebrafish early developmental stages. BMC Genomics. 2014, 15:117. [PubMed][PDF][Supplemental Data]

51. Liu Z, Wang Y, Zhou C, Xue Y, Zhao W, Liu H. (2014) Computationally characterizing and comprehensive analysis of zinc-binding sites in proteins. Biochim Biophys Acta. 1844(1 Pt B):171-80. [PubMed][PDF].

50. Wang Y, Liu Z, Cheng H, Gao T, Pan Z, Yang Q, Guo A, Xue Y**. (2014) EKPD: a hierarchical database of eukaryotic protein kinases and protein phosphatases. Nucleic Acids Res. 42(1):D496-502. [PubMed][PDF][Supplemental Data]

49. Liu Z, Wang Y, Gao T, Pan Z, Cheng H, Yang Q, Cheng Z, Guo A, Ren J, Xue Y**. (2014) CPLM: a database of protein lysine modifications. Nucleic Acids Res. 42(1): D531-6. [PubMed][PDF][Supplemental Data]


48. Gao T, Liu Z, Wang Y, Xue Y**. (2013) Ubiquitin and Ubiquitin-Like Conjugations in Complex Diseases: A Computational Perspective. Translational Bioinformatics, Volume 4 2013, "Bioinformatics for Diagnosis, Prognosis and Treatment of Complex Diseases", Editors: Bairong Shen. ISBN: 978-94-007-7974-7 (Print), 978-94-007-7975-4 (Online) (Book Chapter 9) [PDF]
For whom are interested in the relation of Ubiquitin and diseases

47. Yang Z, Guo G, Zhang M, Liu CY, Hu Q, Lam H, Cheng H, Xue Y, Li J, Li N. (2013) Stable isotope metabolic labeling-based quantitative phosphoproteomic analysis of Arabidopsis mutants reveals ethylene-regulated time-dependent phosphoproteins and putative substrates of constitutive triple response 1 kinase. Mol Cell Proteomics. 12(12):3559-82. [PubMed][PDF][Supplemental Data]

46. Liu Z, Wang Y, Xue Y**. (2013) Phosphoproteomics-based network medicine. FEBS J, 280(22):5696-704. (Invited review) [PubMed][PDF]

45. Liu Z, Ren J, Cao J, He J, Yao X, Jin C#, Xue Y#. (2013) Systematic analysis of the Plk-mediated phosphoregulation in eukaryotes. Brief Bioinform. 14(3):344-60. [PubMed][PDF][Supplemental Data]

44. Wang Y, Dai Z, Cheng H, Liu Z, Pan Z, Deng W, Gao T, Li X, Yao Y, Ren J, Xue Y**. (2013) Towards a better understanding of the novel avian-origin H7N9 influenza A virus in China. Sci Rep. 2013;3:2318. [PubMed][PDF][Supplemental Data]

43. Gao T, Liu Z, Wang Y, Cheng H, Yang Q, Guo A, Ren J, Xue Y**. (2013) UUCD: a family-based database of ubiquitin and ubiquitin-like conjugation. Nucleic Acids Res. 41(D1):D445-51. [PubMed][PDF][Supplemental Data]


42. Song C, Ye M, Liu Z, Cheng H, Jiang X, Han G, Songyang Z, Tan Y, Wang H, Ren J#, Xue Y#, Zou H#. (2012) Systematic analysis of protein phosphorylation networks from phosphoproteomic data. Mol Cell Proteomics. 11(10):1070-83. [PubMed][PDF][Supplemental Data]

41. Zhang Y, Xu B, Yang Y, Ban R, Zhang H, Jiang X, Cooke HJ, Xue Y#, Shi Q#. (2012) CPSS: a computational platform for the analysis of small RNA deep sequencing data. Bioinformatics. 2012, 28(14):1925-7. [PubMed][PDF][Supplemental Data]

40. Liu Z, Yuan F, Ren J, Cao J, Zhou Y, Yang Q#, Xue Y#. (2012) GPS-ARM: computational analysis of the APC/C recognition motif by predicting D-boxes and KEN-boxes. PLoS One. 2012;7(3):e34370. [PubMed][PDF][Supplemental Data]

39. Cai R, Liu Z, Ren J, Ma C, Gao T, Zhou Y, Yang Q#, Xue Y#. (2012) GPS-MBA: computational analysis of MHC class II epitopes in type 1 diabetes. PLoS One. 2012;7(3):e33884. [PubMed][PDF][Supplemental Data]


38. Xue Y, Liu Z, Cao J, Jian Ren. (2011) Computational Prediction of Post-Translational Modification Sites in Proteins. Systems and Computational Biology - Molecular and Cellular Experimental Systems, InTech - Open Access Publisher, ISBN: 978-953-307-280-7. (Book Chapter 6) [PDF] (Has been viewed 1,967 and downloaded 1,149 times on Feb., 13, 2014; the 2nd of "Most downloaded chapters")
For whom are interested in the GPS algorithms

37. Liu Z, Ma Q, Cao J, Gao X, Ren J#, Xue Y#. (2011) GPS-PUP: computational prediction of pupylation sites in prokaryotic proteins. Mol Biosyst., 7(10):2737-40. [PubMed][PDF][Supplemental Data]

36. Ren J, Gao X, Liu Z, Cao J, Ma Q, Xue Y**. (2011) Computational Analysis of Phosphoproteomics: Progresses and Perspectives. Current Protein and Peptide Science, 2011 Nov;12(7):591-601. [PubMed] [PDF]

35. Liu Z, Cao J, Ma Q, Gao X, Ren J#, Xue Y#. (2011) GPS-YNO2: computational prediction of tyrosine nitration sites in proteins. Mol Biosyst., 7(4):1197-204. [PubMed][PDF][Supplemental Data]
This paper was highlighted as "Top ten accessed articles in August" of Molecular BioSystems, and ranked as 7th.

34. Liu Z, Cao J, Gao X, Ma Q, Ren J#, Xue Y#. (2011) GPS-CCD: a novel computational program for the prediction of calpain cleavage sites. PLoS One., 6(4):e19001. [PubMed][PDF][Supplemental Data]

33. Zhang Y, Yang Y, Zhang H, Jiang X, Xu B, Xue Y, Cao Y, Zhai Q, Zhai Y, Xu M, Cooke HJ, Shi Q. (2011) Prediction of novel pre-microRNAs with high accuracy through boosting and SVM. Bioinformatics, 27(10):1436-7. [PubMed][PDF][Supplemental Data]

32. Xue Y#, Liu Z, Cao J, Ma Q, Gao X, Wang Q, Jin C, Zhou Y, Wen L, Ren J#. (2011) GPS 2.1: enhanced prediction of kinase-specific phosphorylation sites with an algorithm of motif length selection. Protein Eng Des Sel., 24(3):255-60. [PubMed][PDF][Supplemental Data]

31. Liu Z, Cao J, Gao X, Zhou Y, Wen L, Yang X, Yao X, Ren J#, Xue Y#. (2011) CPLA 1.0: an integrated database of protein lysine acetylation. Nucleic Acids Res., 39:D1029-34. [PubMed][PDF][Supplemental Data]


30. Xue Y#, Liu Z, Gao X, Jin C, Wen L, Yao X, Jian Ren#. (2010) GPS-SNO: Computational prediction of protein S-nitrosylation sites with a modified GPS algorithm. PLoS ONE, 5(6):e11290. [PubMed][PDF][Supplemental Data]

29. Xue Y#, Gao X, Cao J, Liu Z, Jin C, Wen L, Yao X, Ren J#. (2010) A summary of computational resources for protein phosphorylation. Current Protein and Peptide Science, 11(6):485-96. (Review) [PubMed][PDF]

28. Ren J, Jiang C, Gao X, Liu Z, Yuan Z, Jin C, Wen L, Zhang Z#, Xue Y#, Yao X#. (2010) PhosSNP for systematic analysis of genetic polymorphisms that influence protein phosphorylation. Molecular & Cellular Proteomics, 9:623-34. [PubMed][PDF][Supplemental Data]

27. Ren J, Liu Z, Gao X, Jin C, Ye M, Zou H, Wen L, Zhang Z, Xue Y#, Yao X#. (2010) MiCroKit 3.0: an integrated database of midbody, centrosome and kinetochore. Nucleic Acids Research, 38:D155-160. [PubMed][PDF]


26. Han G, Ye M, Jiang X, Chen R, Ren J, Xue Y, Wang F, Song C, Yao X, Zou H. (2009) Comprehensive and reliable phosphorylation site mapping of individual phosphoproteins by combination of multiple stage mass spectrometric analysis with a target-decoy database search. Analytical Chemistry, 81:5794-805. [PubMed][PDF][Supplemental Data]

25. Ren J, Gao X, Jin C, Zhu M, Wang X, Shaw A, Wen L, Yao X#, Xue Y#. (2009) Systematic study of protein sumoylation: development of a site-specific predictor of SUMOsp 2.0. Proteomics. 9:3409-3412. [PubMed][PDF][Supplemental Data]

24. Ren J, Wen L, Gao X, Jin C, Xue Y#, Yao X#. (2009) DOG 1.0: Illustrator of Protein Domain Structures. Cell Research. 19:271-273. [PubMed][PDF][Supplemental Data]

23. Xu Y#, Wang Z, Lei Y, Zhao Y, Xue Y#. (2009) MBA: a literature Mining system for extracting Biomedical abbreviations. BMC Bioinformatics. 10:14. [PubMed][PDF]


22. Zhao Y, Xu Y, Wang Z, Jin C, Gao X, Xue Y#, Yao X#. (2008) Proteome-Wide Analysis of Amino Acid Absence in Composition and Plasticity. ICIC 2008, LNCS 5226, 167-178. [PDF]

21. Xu Y#, Wang Z#, Zhao Y#, Xue Y#. (2008) A New Alignment Algorithm to Identify Definitions Corresponding to Abbreviations in Biomedical Text. WKDD 2008, 118-124. [PDF]

20. Gao X, Jin C, Ren J, Yao X, Xue Y**. (2008) Proteome-wide prediction of PKA phosphorylation sites in eukaryotic kingdom. Genomics. 92(6):457-63. [PubMed][PDF][Supplemental Data]

19. Ren J, Wen L, Gao X, Jin C, Xue Y#, Yao X#. (2008) CSS-Palm 2.0: an updated software for palmitoylation sites prediction. Protein Eng Des Sel. 21(11):639-44. [PubMed][PDF] (Included in "50 Most Frequently Cited Articles", ranked as 35th on Feb., 2014)

18. Xue Y*, Ren J*, Gao X, Jin C, Wen L, Yao X. (2008) GPS 2.0, a tool to predict kinase-specific phosphorylation sites in hierarchy. Mol Cell Proteomics. 7(9):1598-608. [PubMed][PDF][Supplemental Data]

17. Gao X, Jin C, Xue Y#, Yao X#. (2008) Computational analyses of TBC protein family in eukaryotes. Protein Pept Lett. 15:505-9. [PubMed][PDF]

16. Yu J, Lan J, Zhu Y, Li X, Lai X, Xue Y, Jin C, Huang H. (2008) The E3 ubiquitin ligase HECTD3 regulates ubiquitination and degradation of Tara. Biochem Biophys Res Commun. 367(4):805-12. [PubMed][PDF]

15. Cheng Z, Ke Y, Ding X, Wang F, Wang H, Ahmed K, Liu Z, Xu Y, Aikhionbare F, Yan H, Liu J, Xue Y, Powell M, Liang S, Reddy SE, Hu R, Huang H, Jin C, Yao X. (2008) Functional characterization of TIP60 sumoylation in UV-irradiated DNA damage response. Oncogene. 27(7):931-41. [PubMed][PDF][Supplemental Data]


14. Xue Y , Zhou F, Xu Y, Yao X. (2007) GPS: A computational protocol for kinase-specific phosphorylation site prediction. Nature Protocol, DOI: 10.1038/nprot.2007.219. (Invited) [Protocols Network] (Not peer reviewed)

13. Jin C, Cai X, Ma H, Xue Y, Yao J, Yao X. (2007) An efficient site-directed mutagenesis method for ColE1-type ori plasmid. Analytical Biochemistry, 363 (1), 151-153. [PubMed][PDF]


12. Xue Y*, Chen H*, Jin C, Sun Z, Yao X. (2006) NBA-Palm: prediction of palmitoylation site implemented in Naive Bayes algorithm. BMC Bioinformatics, 7, 458. [PubMed][PDF]

11. Li A*, Xue Y*, Jin C, Wang M, Yao X. (2006) Prediction of Nε-acetylation on internal lysines implemented in Bayesian Discriminant Method. Biochem. Biophys. Res. Commun., 350(4), 818-824. [PubMed][PDF]

10. Xue Y, Jin C, Yao X. (2006) HSPPIP: An Online tool for prediction of protein-protein interactions in humans. ICIC 2006, LNBI 4115, 603-611. [PDF]

9. Zhou F*, Xue Y*, Yao X, Xu Y. (2006) A general user interface for prediction servers of proteins' post-translational modification sites. Nature Protocols, 1(3), 1318-1321. [PubMed][PDF]

8. Xue Y*, Liu D*, Fu C, Dou Z, Zhou Q, Tang X, Yao X. (2006) A novel genome-wide full-length kinesin prediction analysis reveals additional mammalian kinesins. Chinese Science Bulletin, 51(15), 1836- 1847. (PDF, Chinese version,790kb; English version, 959kb)

7. Chen H*, Xue Y*, Huang N, Yao X, Sun Z. (2006) MeMo: a web tool for prediction of protein methylation modifications. Nucleic. Acids Res., 34, W249-W253. [PubMed][PDF][Supplemental Data]

6. Xue Y*, Zhou F*, Fu C, Xu Y, Yao X. (2006) SUMOsp: a web server for sumoylation site prediction. Nucleic. Acids Res., 34, W254-W257. [PubMed][PDF][Supplemental Data]

5. Xue Y*, Li A*, Wang L, Feng H, Yao X. (2006) PPSP: Prediction of PK-Specific Phosphorylation Site with Bayesian Decision Theory. BMC Bioinformatics, 7, 163. [PubMed][PDF][Supplemental Data]
This paper was highlighed as "Top 100 protein kinase publications" in 2006 by Ion Channel Media Group, and ranked as 89th. (Highly accessed)

4. Zhou F*, Xue Y*, Yao X, Xu Y. (2006) CSS-Palm: palmitoylation site prediction with a clustering and scoring strategy (CSS). Bioinformatics, 22, 894-896. [PubMed][PDF][Supplemental Data]


3. Xue Y*, Zhou F*, Zhu M, Ahmed K, Chen G, Yao X. (2005) GPS: a comprehensive www server for phosphorylation sites prediction. Nucleic. Acids Res., 33, W184-W187. [PubMed][PDF]

2. Zhou F*, Xue Y*, Lu H, Chen G, Yao X. (2005) A genome-wide analysis of sumoylation-related biological processes and functions in human nucleus. FEBS Lett., 579, 3369-3375. [PubMed][PDF]


1. Zhou F*, Xue Y*, Chen G, Yao X. (2004) GPS: a novel group-based phosphorylation predicting and scoring method. Biochem. Biophys. Res. Commun., 325, 1443-1448. [PubMed][PDF]

(*Co-first author, #Co-corresponding author, **Corresponding author)