|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | A nonsynonymous SNP in human cytosolic sialidase in a small Asian population results in reduced enzyme activity: potential link with severe adverse reactions to oseltamivir显示文摘oseltamivir 的使用,广泛地是的 stockpiled 为在可能的鸟的流行性感冒的使用的药之一流行,被报导了与 neuropsychiatricdisorders 和严重皮肤反应被联系,首先在日本。这里,我们在 dbSNP 数据库识别了非同义的 SNP (单个核苷酸多型性) , R41Q 在 humancytosolic sialidase 的酶的活跃地点附近,是 oseltamivir 的目标的病毒 neuraminidase 的一个相当或相同事物。在欧洲、非洲的美国人口的 9.29% 亚洲人口和没有的这 SNPoccurred。Ourstructural 分析和 Ki 大小使用试管内 sialidase 试金显示这 SNPcould 增加人的 sialidase 的非计划中的有约束力的亲密关系到 oseltamivir 羧化物, oseltamivir 的活跃形式,因此减少 sialidase 活动。另外,这 SNP 自己与一项内在地更低的 sialidase 活动导致酶,由它的增加的 Km 证明 Vmax 珍视并且减少。理论上,到有这 SNP 的人的 oseltamivir 的管理可能进一步减少他们的 sialidase 活动。我们注意 oseltamivir 的 reportedneuropsychiatric 副酌和人的 sialidase-relateddisorders 的已知的症状的类似。我们建议这个充实亚洲人的 sialidase 变化由 SNP 引起了,在同型结合的形式可能,可以与对 oseltamivir 的某些严重不利反应被联系。 | Chuan-Yun Li Quan Yu Zhi-Qiang Ye Ying Sun Quanyuan He Xiao-Mo Li Wuxue Zhang Jingchu Luo Xiaocheng Gu Xiaofeng Zheng Liping Wei | 2007 | Cell Research2007，17，4： | 5 |
| 2 | Bringing Biocuration to China显示文摘Biocuration involves adding value to biomedical data by the processes of standardization, quality control and information transferring(also known as data annotation). It enhances data interoperability and consistency, and is critical in translating biomedical data into scientific discovery. Although China is becoming a leading scientific data producer, biocuration is still very new to the Chinese biomedical data community. In fact, there currently lacks an equivalent acknowledged word in Chinese for the word ‘‘curation'. Here we propose its Chinese translation as ‘‘审编'(Pinyin: sheˇn bi'an), based on its implied meanings taken by biomedical data community.The 8th International Biocuration Conference to be held in China(http://gffzzcdc97b745ed34697hq9vw6vvbkcw66kuc.ffgz.tsg.suse.edu.cn)next year bears the potential to raise the general awareness in China of the significant role of biocuration in scientific discovery. However, challenges are ahead in its implementation. | Zhang Zhang Weimin Zhu Jingchu Luo | 2014 | Genomics, Proteomics & Bioinformatics2014，12，4： | 4 |
| 3 | Hybrid Petri Nets for Modeling and Analysis of Microgrid Systems显示文摘Hybrid Petri nets(HPNs) are widely used to describe and analyze various industrial hybrid systems that have both discrete-event and continuous discrete-time behaviors. Recently,many researchers attempt to utilize them to characterize power and energy systems. This work proposes to adopt an HPN to model and analyze a microgrid that consists of green energy sources. A reachability graph for such a model is generated and used to analyze the system properties. | Xiaoyu Lu MengChu Zhou Ahmed Chiheb Ammari Jingchu Ji | 2016 | IEEE/CAA Journal of Automatica Sinica2016，3，4： | 2 |
| 4 | Secreted protein prediction system combining CJ-SPHMM, TMHMM, and PSORT显示文摘 | Yunjia Chen Peng Yu Jingchu Luo Ying Jiang | 2003 | Mammalian Genome2003，，12： | 1 |
| 5 | LSD 4.0:an improved database for comparative studies of leaf senescence显示文摘Leaf senescence is the final stage of leaf development and involves the active degradation and dynamic transfer of its cellular components to newly growing and storage tissues,which contributes to plant fitness(Gan and Amasino,1997;Lim et al.,2007).The genetic modification of leaf senescence has emerged as a promising strategy for improving nutritional traits and stress tolerance in plants(Rivero et al.,2007).Efforts to dissect the molecular mechanisms underpinning leaf senescence reveal that it is a highly coordinated process regulated by a large number of senescence-associated genes(SAGs)(Guo and Gan,2005;Lim et al.,2007).Functional studies of these SAG genes through reverse genetics strategies and identification of senescence-altered mutants through forward genetic screening have deepened the understanding of leaf senescence(Guo et al.,2021). | Jie Cao Yang Zhang Shuya Tan Qi Yang Hou‑Ling Wang Xinli Xia Jingchu Luo Hongwei Guo Zhang Zhang Zhonghai Li | 2022 | Molecular Horticulture2022，2，1： | 1 |
| 6 | Genome-wide identification and evolutionary analysis of the plant specific SBP-box transcription factor family显示文摘 | An-Yuan Guo Qi-Hui Zhu Xiaocheng Gu Song Ge Ji Yang Jingchu Luo | 2008 | Gene2008，，1： | 1 |
| 7 | GSA and BIGD:Filling the Gap of Bioinformatics Resource and Service in China显示文摘In the 2017 first issue of this Journal–Genomes,Proteomes and Bioinformatics–a special database article entitled‘‘GSA:Genome Sequence Archive'[1]is published.This article provides a brief introduction to the platform developed by the authors from the BIG Data Center(BIGD)of Beijing Institute | Jingchu Luo | 2017 | Genomics, Proteomics & Bioinformatics2017，15，1： | 1 |
| 8 | Secreted protein prediction system combing CJ-SPHMM, TMHMM and PSORT显示文摘 | Chen Yunjla Yu Peng Luo Jingchu | 2003 | Mammalian Genome2003，14，： | 1 |
| 9 | The MYB Transcription Factor Superfamily of Arabidopsis: Expression Analysis and Phylogenetic Comparison with the Rice MYB Family显示文摘 | Chen Yanhui Yang Xiaoyuan He Kun Liu Meihua Li Jigang Gao Zhaofeng Lin Zhiqiang Zhang Yunfei Wang Xiaoxiao Qiu Xiaoming Shen Yunping Zhang Li Deng Xiaohui Luo Jingchu Deng Xing-Wang Chen Zhangliang Gu Hongya Qu Li-Jia | 2006 | Plant Molecular Biology2006，，1： | 1 |
| 10 | Evidence that Natural Selection is the Primary Cause of the Guanine-cytosine Content Variation in Rice Genes显示文摘Cereal genes are classified into two distinct classes according to the guanine-cytosine(GC)content at the third codonsites(GC_3).Natural selection and mutation bias have been proposed to affect the GC content.However,there has beencontroversy about the cause of GC variation.Here,we characterized the GC content of 1092 paralogs and other single-copygenes in the duplicated chromosomal regions of the rice genome(ssp.indica)and classified the paralogs into GC_3-richand GC_3-poor groups.By referring to out-group sequences from Arabidopsis and maize,we confirmed that the averagesynonymous substitution rate of the GC_3-rich genes is significantly lower than that of the GC_3-poor genes.Furthermore,we explored the other possible factors corresponding to the GC variation including the length of coding sequences,thenumber of exons in each gene,the number of genes in each family,the location of genes on chromosomes and the proteinfunctions.Consequently,we propose that natural selection rather than mutation bias was the primary cause of the GCvariation. | Xiaoli Shi Xiyin Wang Zhe Li Qihui Zhu Ji Yang Song Ge Jingchu Luo | 2007 | Journal of Integrative Plant Biology2007，49，9： | 0 |
您所在的机构暂未开通此部分的功能，请联系管理员