期刊文献+
共找到3篇文章
< 1 >
每页显示 20 50 100
Bioinformatics analysis of two-component regulatory systems in Staphylococcus epidermidis 被引量:4
1
作者 QINZhiqiang ZHONGYang +6 位作者 ZHANGJian HEYouyu WUYang JIANGJuan CHENJiemin LUOXiaomin QUDi 《Chinese Science Bulletin》 SCIE EI CAS 2004年第12期1267-1271,共5页
Sixteen pairs of two-component regulatory systems are identified in the genome of Staphylococcus epidermidis ATCC12228 strain, which is newly sequenced by our laboratory for Medical Molecular Virology and Chinese Nati... Sixteen pairs of two-component regulatory systems are identified in the genome of Staphylococcus epidermidis ATCC12228 strain, which is newly sequenced by our laboratory for Medical Molecular Virology and Chinese National Human Genome Center at Shanghai, by using bio- informatics analysis. Comparative analysis of the two- component regulatory systems in S. epidermidis and that of S. aureus and Bacillus subtilis shows that these systems may regulate some important biological functions, e.g. growth, biofilm formation, and expression of virulence factors in S. epidermidis. Two conserved domains, i.e. HATPase_c and REC domains, are found in all 16 pairs of two-component proteins. Homologous modelling analysis indicates that there are 4 similar HATPase_c domain structures of histidine kinases and 13 similar REC domain structures of response regulators, and there is one AMP-PNP binding pocket in the HATPase_c domain and three active aspartate residues in the REC domain. Preliminary experiment reveals that the bioinfor- matics analysis of the conserved domain structures in the two-component regulatory systems in S. epidermidis may provide useful information for discovery of potential drug target. 展开更多
关键词 生物信息学 二元调整系统 葡萄状球菌表皮菌 组氨酸激酶 反应调节器 药物目标
暂未订购
Discovery of a potent and highly selective inhibitor of SIRT6 against pancreatic cancer metastasis in vivo 被引量:3
2
作者 Xinyuan Xu Qian Zhang +14 位作者 Xufeng Wang Jing Jin Chengwei Wu Li Feng Xiuyan Yang Mingzhu Zhao Yingyi Chen Shaoyong Lu Zhen Zheng Xiaobing Lan Yi Wang Yan Zheng Xuefeng Lu Qiufen Zhang Jian Zhang 《Acta Pharmaceutica Sinica B》 SCIE CAS CSCD 2024年第3期1302-1316,共15页
Pancreatic cancer,one of the most aggressive malignancies,has no effective treatment due to the lack of targets and drugs related to tumour metastasis.SIRT6 can promote the migration of pancreatic cancer and could be ... Pancreatic cancer,one of the most aggressive malignancies,has no effective treatment due to the lack of targets and drugs related to tumour metastasis.SIRT6 can promote the migration of pancreatic cancer and could be a potential target for antimetastasis of pancreatic cancer.However,highly selective and potency SIRT6 inhibitor that can be used in vivo is yet to be discovered.Here,we developed a noveSIRT6 allosteric inhibitor,compound 11e,with maximal inhibitory potency and an IC_(50) value of 0.98±0.13μmol/L.Moreover,compound 11e exhibited significant selectivity against other histone deacetylases(HADC1-11 and SIRT1-3)at concentrations up to 100μmol/L.The allosteric site and the molecular mechanism of inhibition were extensively elucidated by cocrystal complex structure and dynamic structural analyses.Importantly,we confirmed the antimetastatic function of such inhibitors in four pancreatic cancer cell lines as well as in two mouse models of pancreatic cancer liver metastasis.To our knowledge,this is the first study to reveal the in vivo effects of SIRT6 inhibitors on liver metastatic pancreatic cancer.It not only provides a promising lead compound for subsequent inhibitor developmentargeting SIRT6 but also provides a potential approach to address the challenge of metastasis in pancreatic cancer. 展开更多
关键词 SIRT6 INHIBITOR ALLOSTERIC SELECTIVITY COCRYSTAL Pancreatic cancer metastasis
原文传递
A novel domain-based method for predicting the functional classes of proteins
3
作者 YUXiaojing LINJiancheng SHITieliu LIYixue 《Chinese Science Bulletin》 SCIE EI CAS 2004年第22期2379-2384,共6页
Prediction of protein functions from known genomic sequences is an important mission of bioinformatics. One approach is to classify proteins into functional catego- ries. We have therefore developed a method based on ... Prediction of protein functions from known genomic sequences is an important mission of bioinformatics. One approach is to classify proteins into functional catego- ries. We have therefore developed a method based on protein domain composition and the maximum likelihood estimation (MLE) algorithm to classify proteins according to functions. Using the Saccharomyces cerevisiae genome, we compared the effectiveness of the MLE approach with that of an intui- tive and simple method. The MLE method outperformed the simple method, achieving an estimated specificity of 75.45% and an estimated sensitivity of 40.26%. These results indicate that domain is an important feature of proteins and is closely related to protein function. 展开更多
关键词 蛋白质 生物功能 域方法 最大可能性估计算法 期望最大化
在线阅读 下载PDF
上一页 1 下一页 到第
使用帮助 返回顶部