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国家重点基础研究发展计划(2010CB833601)

作品数:3 被引量:9H指数:2
相关作者:李国庆吴迪曹志伟王舒宁更多>>
相关机构:上海生物信息技术研究中心华东理工大学更多>>
发文基金:国家重点基础研究发展计划教育部“新世纪优秀人才支持计划”国家自然科学基金更多>>
相关领域:生物学农业科学更多>>

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甲型H1N1流感病毒HA蛋白抗原表位及受体结合位点突变特性的对比研究被引量:2
2012年
人群中流行的H1N1病毒按其来源可分为两类:人感染的猪H1N1病毒与人类季节性H1N1流感病毒。这两类病毒在流行频率、易感性和致病性等方面存在明显差异。文章收集了1918~2009年间17株人感染的猪甲型H1N1毒株以及21株季节性H1N1毒株,通过序列比对、氨基酸残基保守性分析及3D结构对比等生物信息学方法,揭示造成这两类病毒流行病学和感染性差异的机制。研究发现这两类病毒HA蛋白的进化路径并不相同,且两者具有不同的突变特征,人感染的猪H1N1病毒中,Ca1、Ca2、Sa和Sb四个位点均较为保守,仅Cb位点的突变较快;季节性H1N1病毒仅有Ca1位点较为保守,其他四个抗原性位点均具有较快的突变速率,且较多的突变为新类型的氨基酸。另外,对受体结合位点的研究也显示,这两类病毒的该区域存在5个氨基酸水平的差异(ALA138SER、GLN192LYS、GLN196HIS、ALA198GLU和ALA227GLU),这些位点的差异使得人感染的猪H1N1流感病毒比人类季节性H1N1病毒的易感性更强。这些研究结果可为阐明两类H1N1流感病毒感染性及致病性差异提供更多的信息,并有助于进一步认识H1N1流感病毒的进化机制。
王舒宁李国庆吴迪曹志伟
关键词:H1N1流感病毒抗原表位生物信息学研究
Evaluation of spatial epitope computational tools based on experimentally-confirmed dataset for protein antigens被引量:2
2010年
Antibody molecules interact with antigen proteins through the epitope area,where the epitope residues are found to be discontinuous or spatial or conformational rather than linear on the protein surface.There are various computational algorithms to predict the spatial epitopes,and each of them have an outstanding performance based on their individual testing dataset.In this work,an independent dataset was created through collection of the epitope residual sites which have been confirmed by experiments. Based on this dataset,6 popular web-servers developed for B-cell structural epitope prediction,including SEPPA,CEP,DiscoTope,ElliPro,PEPOP and BEpro,were evaluated and compared according to sensitivity,the positive predictive value,the successful pick-up rate and the area under the curve of the receiver operator characteristic(AUC).The results showed that the general performance of spatial epitope prediction tools did obtain substantial advancement,and SEPPA gave the best performance among the 6 tools.However,the current prediction accuracy was still far from satisfaction.Moreover,our comparison elucidated that the performance of the web-servers was significantly affected by their training datasets and the algorithms adopted.In this sense,the results of our research may improve the design of B-cell epitope prediction tools and provide additional clues when the users utilize these tools in their related research.
XU XiaoLianSUN JingLIU QiWANG XiaoJingXU TianLeiZHU RuiXinWU DiCAO ZhiWei
关键词:抗原表位蛋白抗原
Structural basis of immunosuppression by the therapeutic antibody daclizumab被引量:5
2010年
Interleukin-2 (IL)-2 signaling plays a pivotal role in the activation of immune responses, and drugs that block this pathway have been shown to be effective for the immunosuppression in patients with organ transplantation to alleviate/eliminate allograft rejection. The first humanized monoclonal antibody (mAb) daclizumab falls into this category and shows high specificity and affinity against a key component of the IL-2 receptor complex, namely IL-2Ra. To reveal the molecular mechanism of the inhibition of the IL-2 signaling pathway by dacllzumab, we determined the crystal structures of the daclizumab Fab in free form and in complex with the IL-2Ra ectodomain at 2.6 and 2.8 A resolution, respectively. The daclizumab Fab adopts a similar conformation in the presence or absence of the IL- 2Ra ectodomain. The antigen-binding site of daclizumab is mainly composed of live complementarity determining regions (CDRs) that form a large positively charged surface depression and two flanking patches that are generally hydrophobic. The conformational epitope consists of several discontinuous segments of the IL-2Ru ectodomain, a large portion of which overlaps with the regions that interact with IL-2, suggesting that the binding of daclizumab to IL-2Ra would prevent the IL-2 binding to IL-2Ra and the subsequent formation of the IL-2fIL-2Ra[~/c complex, and therefore block the IL-2 signaling pathway. These results also have implications for the design and development of improved mAb drugs targeting IL-2Ra.
Hui YangJianchuan WangJiamu DuChen ZhongDapeng ZhangHuaizu GuoYajun GuoJianping Ding
关键词:DACLIZUMAB
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