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左永春 教授 简介
2016年06月03日 10:31      浏览:

左永春,1982年出生,生物信息学博士,内蒙古大学生命科学学院、省部共建草原家畜生殖调控与繁育国家重点实验室教授,博士生导师。 7745D 主要采用生物信息学方法,针对生物序列的识别预测,哺乳动物早期胚胎发育和体细胞重编程分子机制方面展开大数据多组学研究,包括早期胚胎发育和体细胞重编程分子信息数据库的开发,细胞编程和重编程关键分子途径的大数据生物信息学解析,以及DNA调控元件和蛋白质功能的分类模型构建等。学术成果先后发表在生物信息学专业领域的相关学科杂志Bioinformatics、Briefings in Bioinformatics、GigaScience等SCI学术期刊上, 论文引用次数1000多次(Google, H=18),多篇论文被ESI 1%高被引论文收录,相关创新方法获批多项国家发明专利和软件著作权。
 联系方式:0471-5227683,   Emailyongchunzuo@163.com;yczuo@imu.edu.cn
 研究领域:计算生物学,计算基因组学,发育与重编程多组学分析。 
 研究内容:
  巨大的科学数据的积累将导致重大的科学发现,随着生命科学研究已进入大数据多维度组学时代,海量大数据的产生为我们深入了解哺乳动物胚胎发育和体细胞重编程过程提供了前所未有的机遇。哺乳动物早期胚胎发育和组织器官分化过程遵循严格的时空调控且具有严格的逻辑性特点,从一个受精卵细胞发育成一个具有200种不同类型的包含近40-60亿个细胞的个体,相关RNA、Epigenetic、Protein在时间和空间上遵循严格时空时序性,稳定的表达调控及表观遗传修饰对于发育胚胎细胞增殖分化起着关键作用。来自公共数据库的基因组、表达组、表观组等数据比任何一个实验室能产生的数据都多,而且具有更多的知识含量。然而,对这些海量数据的处理和分析才刚刚开始,远远跟不上实验数据的增加,许多涉及胚胎早期发育和细胞重编程程序性调控机制亟待通过大数据和生物信息学手段进行系统深入的挖掘。主要研究方向包括:
(1)  基于组学数据的哺乳动物胚胎早期发育及细胞重编程分化关键调控模块识别及协同调控网络构建;
(2)  基于计算基因组学方法的组织特异性表达相关基因识别,优化,建模及其调控功能元件基因组水平改造;
(3)  基于大数据建模的细胞体细胞重编程问题及发育阻滞相关的计算生物学研究。

    研究成果: 
(1) 计算生物学方面:自2009年起,较早地发展了基于DNA空间几何参数作为特征参数建立原核生物和植物启动子基因组区域预测模型的方法(Prog Biochem Biophys 2009 36(7): 863-871; Physica A 2010  389(19) 4217–4223; Genomics 2011 97(3): 112-120),首次将离散增量算法与K紧邻算法有机结合,先后提出了K 近邻平均离散增量算法K-MID(Amino Acids 2010, 38:859–867)和K 近邻最小离散增量算法KNN-ID(Amino Acids. 2013, 44(2):573-80; Mol Biosyst. 2015 11(3):950-7),发展了基于蛋白质序列氨基酸约化(Reduced Amino Acids)用于蛋白质的功能分类的方法(Peptides. 2009, 30(10)1788–1793; Plos one, 2015 10(12):e0145541),成功搭建了大数据蛋白质序列氨基酸约化与特征提取数据分析平台(Bioinformatics. 2017, 33(1):122-124; Database, 2019, baz131;软件著作权2019SR0467812)。 
(2) 计算基因组学方面:开发了一套基于生物信息学方法的外源基因密码子优化和组织特异性表达调控元件改造方法,优化的人源化亚麻脂肪酸脱氢酶基因FAD3已经成功用于动物基因修饰育种(国家发明专利号:ZL201310344833.5)。通过筛选出具有组织特异的启动子和增强子序列转录因子结合位点调控Motif,该算法已成功构建了MRF4人工设计肌肉特异性表达启动子调控元件(国家发明专利号:ZL201410123506.1),已在具有经济价值的动物基因编辑育种上进行了试验,效果明显。  
(3) 大数据发育与重编程方面:利用大数据生物信息学方法系统分析哺乳动物早期胚胎发育和体细胞多种重编程的分子差异,先后揭示了异种克隆动物胚胎发育受阻的关键转录因子调控网络(BMC Genomics. 2014,  15:1113; Brief Bioinform. 2017 18(4):712-721),构建了哺乳动物早期胚胎发育基因时序性表达数据分析平台EmExplorer(Open Biol. 2019, 7:7794-7802),完成先锋转录因子Oct4靶向调控细胞重编程的理论生物学描述(Comput Struct Biotechnol J, 2019, 17, 1226-1233),发展了草原家畜胚胎物种特异性差异基因识别的方法(IEEE Access, 2019, 7: 7794-7802),建立了相关人工智能预测平台(软件著作权2019SR0463259),筛选并探究一系列引起细胞编程和重编程阻滞的分子调控通路(Oncotarget, 2016 7(45):  74120-74131),基于蛋白质家族序列保守性和选择进化压力,解析了DNA去甲基化关键蛋白TET家族功能发挥的序列基础(Briefings in Bioinformatics. 2019, 20 (5), 1826-1835),后续工作正在深入进行中。  
   主持(主要参加)的相关项目 
 国家自然科学基金,  2018-2020, 国家基金委  主持
 内蒙古自治区高等学校“青年科技英才”支持计划,  2018-2020, 内蒙古自治区教育厅  主持
 内蒙古自治区"杰出青年"培育基金,  2017-2019, 内蒙古自治区科技厅  主持

 国家自然科学基金,  2016-2019, 国家基金委  主持
 国家自然科学基金,  2015-2015, 国家基金委  主持
 高等学校博士点项科研基金,   2014-2016, 教育部  主持 
 内蒙古自治区自然科学基金,   2013-2015, 内蒙古自治区科技厅  主持
 高产优质转基因肉牛新品种培育, 2011-2015, 国家科技重大专项课题  主要参加
 克隆与转基因克隆动物机理研究, 2012-2015, 国家“973”计划课题  主要参加

   获奖情况:
 2019年10月入选内蒙古自治区“草原英才”;
 2019年10月入选内蒙古自治区新世纪“321人才工程”
 2019年9月获内蒙古大学“三全育人”先进个人;
 2019年8月获全国大学生生命科学创新创业大赛指导教师二等奖;
 2018年10月获内蒙古自治区高等学校青年科技骨干

 2017年7月获内蒙古自治区杰出青年培育基金;
 2015年11月获第六届  “旭日干院士”奖
 2014年10月获第六届全国生物信息学与系统生物学学术大会优秀墙报二等奖;
 2014年2月获内蒙古自治区优秀博士学位论文奖;
 2011年10月获内蒙古大学第七届"挑战杯"作品竞赛一等奖; 
 2010年12月获国家宝钢教育基金特等奖
 2010年10月获第四届全国生物信息学与系统生物学学术大会学术优秀奖 
 2009年6月获内蒙古大学创新基金优秀学术论文奖;
 2008年10月获第三届全国生物信息学与系统生物学学术大会优秀奖;

  发表论文情况(# 共同第一作者, *共同通讯作者):

2020:

(67) Lei Zheng, Dongyang Liu, Wuritu Yang, Lei Yang*, Yongchun Zuo,  RaacLogo: a new sequence logo generator by using reduced amino acid clusters, Briefings in Bioinformatics, 2020, DOI:10.1093/bib/bbaa096 (2018 IF: 9.101).

(66) Shiyuan Wang, Qi Zhang, Chunlu Yu, Yiyin Cao, Yongchun Zuo, Lei Yang*,  Immune cell infiltration based signature for prognosis and immunogenomic analysis in breast cancer, Briefings in Bioinformatics, 2020, bbaa026, 1-12 (2018 IF: 9.101).

(65) Pengfei Liang, Xing Chen, Chunshen Long, Lei Zheng, Hanshuang Li, Wuritu Yang, Yongchun Zuo, Machine Learning of Single-cell Transcriptome Highly Identify mRNA Signature by Comparing F-score Selection with Differential Expression Analysis, Molecular Therapy-Nucleic Acids, 2020, 20:155-163  (2018 IF: 5.919).

(64) Shiyuan Wang, Yakun Wang, Chunlu Yu, Yiyin Cao, Yao Yu, Yi Pan, Dongqing Su, Qianzi Lu, Wuritu Yang, Yongchun Zuo, Lei Yang, Characterization of the relationship between FLI1 and immune infiltrate level in tumour immune microenvironment for breast cancer, J Cell Mol Med. 2020;00:1–14. DOI: 10.1111/jcmm.15205. (2018 IF: 4.658)

(63) Na Ta, Hanshuang Li, Shuai Liu, Yongchun Zuo, Mining Key Regulators of Cell Reprogramming and Prediction Research Based on Deep Learning Neural Networks, IEEE Access, 2020, 8:23179 - 23185. (2018 IF: 4.098).

(62) Hanshuang Li, Mingmin Song, Wuritu Yang, Pengbo, Cao, Lei, Zheng, Yongchun Zuo*, A comparative Analysis of Single-cell Transcriptome Identify Reprogramming Driver Factor for Efficiency Improvement, Molecular Therapy-Nucleic Acids, 2020, 19, 1053-1064 (2018 IF: 5.919).

(61) Lei Zheng, Shenghui Huang, Nengjiang, Mu, Haoyue, Zhang, Jiayu Zhang, Yu Chang, Lei Yang,  Yongchun Zuo, RAACBook: a web server of reduced amino acid alphabet for sequence-dependent inference, Database, 2019, baz131, 1-12. (2018 IF: 3.683).

(60) Yang Lei, Lv Yingli, Wang Shiyuan, Zhang Qi, Pan Y, Su D, Lu Q, Yongchun Zuo. Identifying FL11 subtype by characterizing tumor immune microenvironment in prostate adenocarcinoma.Genomics. 112 (2020) 1500–1515. (2018 IF: 3.160).

(59) Jinzhu Xiang, Ying Xing, Chunshen Long, Dongxia Hou, Fang Liu, Yuanyuan Zhang, Zhenyu Lu, Jing Wang, Yongchun Zuo, Xueling Li*, Fatty acid metabolism as an indicator for the maternal–to–zygotic transition in porcine IVF embryos, revealed by RNA-Sequencing, Theriogenology, 2020, DOI: https://doi.org/10.1016/j.theriogenology.2020.04.015. (2018 IF: 2.299).

(58) Wen Jin, Qianzhong Li, Yuan Liu, Yongchun Zuo, Effect of the key histone modifications on the expression of genes related to breast cancer. Genomics 112 (2020) 853–858. (2018 IF: 3.160).  

(57) Yongchun Zuo*, Mingmin Song, Hanshuang Li, Xing Chen, Pengbo, Cao, Lei, Zheng, Guifang Cao, Analysis of the Epigenetic Signature of Cell Reprogramming by Computational DNA Methylation Profiles,Current Bioinformatics, 2020, 15, 1-11 1.(2018 IF: 1.189).  

2019:

(56) Hanshuang Li, Na Ta, Chunshen Long, Qiutang Zhang, Siyu Li, Shuai Liu, Lei Yang,  Yongchun Zuo*. The spatial binding model of the pioneer factor Oct4 with its target genes during cell reprogramming, Comput Struct Biotechnol J, 2019, 17, 1226-1233.  (2018IF: 4.720).  

(55) Yongchun Zuo*, Yu Chang, Shenghui Huang, Lei Zheng, Lei Yang, Guifang Cao, iDEF-PseRAAC: Identifying the Defensin Peptide by Using Reduced Amino Acid Composition Descriptor, Evolutionary Bioinformatics, 2019, 15: 1–9. (2018 IF: 2.203).  

(54) Bosu Hu, Lei zheng, Chunshen Long, Mingmin Song, Tao Li, Lei Yang,  Yongchun Zuo*. EmExplorer:A database for exploring time activation of gene expression in mammalian embryos. Open Biol. 2019, 7:7794-7802. (2018IF: 3.890).

(53) Shuai Liu, Mengye Lu, Hanshuang Li, Yongchun Zuo*, Prediction of Gene Expression Patterns with Generalized Linear Regression Model. Frontiers in Genetics, 2019, 10:120. (2017 IF: 4.151).

(52) Chunshen Long, Wei Li, Pengfei Liang, Shuai Liu, Yongchun Zuo*, Transcriptome Comparisons of Multi-species Identify Differential Genome Activation of Mammals Embryogenesis. 2019,  IEEE Access, 2019, 7:7794-7802. (2018 IF: 4.098) ESI 1%高被引.

(51) Dongqing Su, Qianzi Lu, Qi Zhang, Shiyuan Wang, Yi Pan, Yongchun Zuo*, Lei Yang, Characterization of human proteins with different subcellular localizations by topological and biological properties. Genomics, 2019, 111(6)1831-1838. (2018 IF: 3.160).  

(50) Yi Pan, Shiyuan Wang, Qi Zhang, Qianzi Lu, Dongqing Su, Yongchun Zuo*, Lei Yang. Analysis and prediction of animal toxins by various Chou’s pseudo components and reduced amino acid compositions.  Journal of Theoretical Biology 462 (2019) 221–229.(2018 IF: 1.875).  

(49) Wen Jin, Qianzhong Li, Yongchun Zuo, Yanni Cao, Luqiang Zhang, Rui Hou, Wenxia Su, The relationship between DNA methylation in key region and the differential expressions of genes in human breast tumor tissue, DNA and Cell Biology, 2019 38(1) 49-62. (2018 IF: 2.918).  

(48) Qi Zhang, Shiyuan Wang, Yi Pan, Dongqing Su, Qianzi Lu, Yongchun Zuo*, Lei Yang, Characterization of proteins in different subcellular localizations for Escherichia coli K12, Genomics, 2019, 111 (2019) 1134–1141. (2018 IF: 3.160). 

(47) Liu Dongyang, Li Guangpeng, Zuo Yongchun*, Function determinants of TET proteins: the arrangements of sequence motifs with specific codes. Briefings in Bioinformatics. 2019, 20 (5), 1826-1835. (2018 IF: 9.101).

2018:

(46) Guangqi Gao  Meng Xu  Chunling Bai  Yulan Yang  Guangpeng Li  Junyang Xu Zhuying Wei  Jiumeng Min  Guanghua Su  Xianqiang Zhou  Jun Guo  Yu Hao Guiping Zhang  Xukui Yang  Xiaomin Xu  Randall B Widelitz  Cheng-Ming Chuong Chi Zhang  Jun Yin  Yongchun Zuo*, Comparative genomics and transcriptomics of Chrysolophus provide insights into the evolution of complex plumage colouration. GigaScience, 2018, 7(10) 1-14. (2017 IF: 7.267).  

(45) Rongsong Luo, Chunling Bai, Lei Yang, Zhong Zheng, Guanghua Su, Guangqi Gao, Zhuying Wei, Yongchun Zuo*, Guangpeng Li, DNA methylation subpatterns at distinct regulatory regions in human early embryos, Open Biol. 2018, 8: 180131. (2017 IF: 3.286). 

(44) Wang SY, Huo HY, Su DQ,  Lu QZ, Chen XW, Yang L, Zuo YC*, Lv YL, Characterize the difference between TMPRSS2-ERG and non-TMPRSS2-ERG fusion patients by clinical and biological characteristics in prostate cancer, Gene, 2018 679:186-194. (2017 IF: 2.498). 

(43) Lei Yang,  Shiyuan Wang,  Qi Zhang,  Yi Pan,  Yingli Lv,  Xiaowen Chen,  Yongchun Zuo*  and  Dapeng Hao, Clinical significance of immune microenvironment in ovarian cancer patients. Mol. Omics, 2018, 14, 341-351. (2016 IF: 2.781). 

(42) Luqiang Zhang, Qianzhong Li, Wen Jin, Yongchun Zuo, Shuchun Guo. Genome-wide analysis of H3K36me3 and its regulations to cancer-related genes expression in human cell lines. Biosystems 2018, 171(2018) 59-65, (2017 IF: 1.619). 

(41) Mengye Lu, Shuai Liu, Arun Kumarsangaiah, Yunpeng Zhou, Zheng Pan, Yongchun Zuo, Nucleosome Positioning with Fractal Entropy Increment of Diversity in Telemedicine. IEEE Access, 2018,  6:33451-33459. (2017 IF: 3.557)

2017:

(40) Zuo YC*, Su GH, Cheng L, Liu K, Feng Y, Wei ZY, Bai CL, Cao GF, Li GP, Coexpression analysis identifies nuclear reprogramming barriers of somatic cell nuclear transfer embryos, Oncotarget, 2017, 8(39)  65847-65859  (2016 IF: 5.168). 

(39) Huo HY, Li T, Wang SY,  Lv YL, Zuo YC*, Yang L*, Prediction of presynaptic and postsynaptic neurotoxins by using Pseudo amino acid composition and motif features, Scientific Reports,  7: 5827  (2016 IF: 4.259). 

(38) Yang L, Wang SY, Zhou M, Chen XW, Jiang W*, Zuo YC*, lv YL*, Molecular classification of prostate adenocarcinoma by the integrated somatic mutation profiles and molecular network. Scientific Reports, 2017, 7(1):738. (2016 IF: 4.259). 

(37) Guo SC# , Zuo YC#, Zhang YF, Wu CY, Su WX, Jin W, Yu HF,  An YL,  Li QZ*. Large-scale transcriptome comparison of sunflower genes responsive to Verticillium dahliae. BMC Genomics.  2017. 18(1):42  (2015 IF: 3.867).

(36) Zuo YC*, Li Y, Chen YL, Li GP, Yan ZH, Yang L. PseKRAAC: A flexible web server for generating pseudo K-tuple reduced amino acids composition. ,Bioinformatics.  2017, 33(1):122-124 (2016 IF:7.307). ESI 1%高被引. 

(35) Che D, Wang Y, Bai W, Li L, Liu G, Zhang L, Zuo YC, Tao S, Hua J, Liao M*. Dynamic and modular gene regulatory networks drive the development of gametogenesis. Brief Bioinform. 2017 18(4):712-721. (2015 IF: 5.134)

2016:

(34) Zuo YC*, Su GH, Wang SS, Yang L, Liao MZ, Wei ZY, Bai CL, Li GP. Exploring timing activation of functional pathway based on differential co-expression analysis in preimplantation embryogenesis, Oncotarget, 2016 7(45): 74120-74131. (2014 IF: 6.359).

(33) Yang L, Wang SY,  Zhou M,  Chen XW, Zuo YC*, Lv YL. Characterize the relationship between essential and TATA-containing genes for S. cerevisiae by network topologies in the perturbation sensitivity network. Genomics, 2016 108(3-4) 177-183. (2015 IF: 2.386).

(32) Yang L, Wang SY, Zhou M, Chen XW, Zuo YC, Lv YL. Characterization of BioPlex network by topological properties. J Theor Biol.  2016 409:148-154. (2015 IF: 2.049). 

(31) Su WX, Li QZ*, Zhang LQ, Fan GL, Wu CY, Yan ZH, Zuo YC. Gene expression classification using epigenetic features and DNA sequence composition in the human embryonic stem cell line H1. Gene. 2016, 592(1):227–234 (2015 IF: 2.319)

(30) Zhang L, Xuan H, Zuo YC, Xu G, Wang P, Song Y, Zhang SH*. Topological characteristics of target genes regulated by abiotic-stress-responsible miRNAs in a rice interactome network. Funct Integr Genomics. 2016 16(3):243-51. (2015 IF: 2.265 )

(29) Jia X, Sun C, Zuo YC, Li G, Li G, Ren L, Chen G. Integrating transcriptomics and metabolomics to characterise the response of Astragalus membranaceus Bge. var. mongolicus (Bge.) to progressive drought stress. BMC Genomics. 2016 17:188. (2014 IF: 3.986)

(28) Yang L, Wang S, Zhou M, Chen X, Zuo YC, Sun D, Lv Y.Comparative analysis  of housekeepingand tissue-selective genes in Human based on network topologies  andbiological properties. Molecular Genetics and Genomics,  2016 291(3):1227-41 (2014 IF: 2.728)

(27) Su WX, Li QZ*, Zuo YC, Zhang LQ. Association analysis between the  distributions of histone modifications and gene expression in the human  embryonic stem cell. Gene, 2016  575(1):90-100. (2014 IF: 2.019)

2015:

(26) Zuo YC*, Lv Y, Wei Z, Yang L, Li G, Fan G. iDPF-PseRAAAC : A  web-server for identifying the defensin peptide family and subfamily using  pseudo reduced amino acid alphabet composition. PLOS ONE, 2015 Dec 29;10(12):e0145541. (2014 IF: 3.234).

(25) Tai, DP, Liu, PX, Gao, J,  Jin, MZ, Xu, T, Zuo, YC, Liang, H, Liu, DJ*. Generation of  Arbas Cashmere Goat Induced Pluripotent Stem Cells Through Fibroblast  Reprogramming. Cellular Reprogramming, 2015 17(4): 297-305. (2014 IF: 1.788).  

(24) Yang L, Hao D, Wang J, Xing X, Lv Y, Zuo YC*, Jiang W. Characterization of  proteins in S. cerevisiae with subcellular localizations Molecular  BioSystems, 2015, 11(5),  1360-9. (2014 IF: 3.210).

(23) Zuo YC*, Su WX, Zhang SH, Wang SS, Wu CY, Yang L, Li GP.  Discrimination of membrane transporter protein types using K-nearest neighbor  method derived from similarity distance of total diversity measure.  Molecular BioSystems,2015 11(3):950-7. (2014 IF: 3.210).  

(22) Yang L, Hao D, Lv Y, Zuo YC*, Jiang W. Genome-wide characterization of essential,  toxicity-modulating and nophenotype genes in S. cerevisiae,  GENE, 2015 559(1):1-8. (2014 IF: 2.019)

2014:

(21) Zuo YC, Gao Y, Su G, Bai C, Wei Z, Liu K, Li Q, Bou S1, Li GP.*  Irregular transcriptome reprogramming probably causes thec developmental failure  of embryos produced by interspecies somatic cell nuclear transfer between the  Przewalski's gazelle and the bovine. BMC Genomics, 2014,  15:1113. (2013 IF: 4.041). 

(20) Yang L, Wang J, Lv Y, Hao D, Zuo YC, Li X, Jiang W. Characterization of  TATA-containing genes and TATA-less genes in S. cerevisiae by network topologies  and biological properties. Genomics. 2014 104(6B):562-71. (2013 IF: 2.793).  

(19) Yang L, Wang J, Wang H, Lv Y, Zuo YC, Li X, Jiang W. Analysis and identification  of essential genes in humans using topological properties and biological  information Gene. 2014, 349:82-91. (2013 IF: 2.082).  

(18) Fan GL, Liu YL, Zuo YC*, Mei HX, Rang Y, Hou BY, Zhao Y. acACS: Improving  the Prediction Accuracy of Protein Subcellular Locations and Protein  Classification by Incorporating the Average Chemical Shifts Composition.  The Scientific World Journal. 2014:864135, 1-9. (2013 IF: 1.73).  

(17) Zuo YC*, Peng Y, Liu L, Chen W, Yang L, Fan GL. Predicting peroxidase subcellular location by  hybridizing different descriptors of Chou' pseudo amino acid patterns.  Anal Biochem. 2014 458:14-9. (2013 IF: 2.305). 

(16) Yang L, Lv Y, Li T, Zuo YC*, Jiang W.*. Human proteins  characterization with subcellular localizations. J Theor Biol.  2014 358C:61-73. (2013 IF: 2.303). 

(15) Yang L, Wang J, Wang H, Lv Y, Zuo YC*, Jiang W. Characterization of  essential genes by topological properties in the perturbation sensitivity  network. Biochem Biophys Res Commun. 2014 448(4):473-9. (2008 IF: 2.281).  

(14) Zuo YC*, Zhang P, Liu L, Li T, Peng Y, Li G, Li QZ. Sequence-specific  flexibility organization of splicing flanking sequence and prediction of splice  sites in the human genome. Chromosome Research ,2014  22(3):321-34. (2013 IF: 2.688). 

(13) Huang X, Han X, Uyunbilig B, Zhang M, Duo S, Zuo YC, Zhao Y, Yun T, Tai D, Wang C, Li J, Li XL*, Li RF*. Establishment of Bovine Trophoblast Stem-Like Cells from In Vitro-Produced  Blastocyst-Stage Embryos Using Two Inhibitors. Stem Cells Dev.  2014 23(13):1501-14. (2013 IF: 4.202). 

(12) Feng P, Lin H, Chen W, Zuo YC, Predicting the types of J-proteins using  clustered amino acids. BioMed Research International,2014,  935719. (2014 IF: 1.579). 

(11) Yang L, Wang J, Wang H, Lv Y, Zuo YC*, Jiang W. Analysis and identification of  toxin targets by topological properties in protein–protein interaction network,  Journal of Theoretical Biologys, 2014 349(2014)82–91. (2013 IF: 2.303)

2013:

(10) Liu L, Li QZ, Lin H, Zuo YC. The effect of regions flanking  target site on siRNA potency. Genomics 2013 102(4) 215-222. (2012 IF: 3.010).  

(9)  Fan GL, Li QZ, Zuo YC. Predicting acidic and alkaline enzymes by incorporating the  average chemical shift and gene ontology informations into the general form of  Chou's PseAAC. Process Biochemistry 48 (2013) 1048–1053. (2012 IF: 2.414).  

(8)  Li T, Li QZ, Liu S, Fan GL, Zuo YC, Peng Y. PreDNA: accurate prediction of  DNA-binding sites in proteins by integrating sequence and geometric structure  information, Bioinformatics, 2013,  29(6):678-85. (2012 IF: 5.323).

(7)  Zuo YC*, Chen W, Fan GL, Li QZ. A  similarity distance of diversity measure for discriminating mesophilic and  thermophilic proteins. Amino Acids. 2013,44(2):573-80. (2012 IF: 3.914)

before 2012:

(6)  Zuo YC*, Li QZ. The DNA geometric flexibility of promoter in  model organism genomes, Procedia 2012  (2011)2732–2737. (EI, ISTP).

(5)  Zuo YC, Li QZ*. Identification of TATA and TATA-less promoters  in plant genomes by integrating diversity measure, GC-Skew and DNA geometric  flexibility. 2011 Genomics. 97(3):  112-120. (2010 IF: 3.327).

(4)  Zuo YC, Li QZ*. The hidden physical codes for modulating the prokaryotic transcription initiation. 2010 Physica A 2010  389(19) 4217–4223. (2009 IF: 1.562).

(3)  Zuo YC, Li QZ*. Using K-minimum increment of diversity to predict secretory  proteins of malaria parasite based on groupings of amino acids. 2010,  Amino Acids. 2010(3) 38:859–867. (2008 IF: 4.132).

(2)  Zuo YC, Li QZ*. Analysis of plant TATA and TATA-less promoters by using sequence  and structure features. 2009,Progress in Biochemistry and  Biophysics. 36(7): 863-871. (2008 IF: 0.211).

(1)  Zuo YC, Li QZ*. . Using reduced amino acid composition to predict  defensin family and subfamily: Integrating similarity measure and structural  alphabet. 2009, Peptides. 30(10)  1788–1793. (2008 IF: 2.565).

 

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