期刊文献+
共找到2篇文章
< 1 >
每页显示 20 50 100
Modeling the Cysteine Rich Domain of Plant Metallothionein-like Protein 被引量:2
1
作者 何红珍 朱春明 +3 位作者 吕暾 张日清 赵南明 刘进元 《Acta Botanica Sinica》 CSCD 2002年第10期1155-1159,共5页
With the progress of plant genome research, more than 50 plant metallothionein_like (MT_L) genes have been found, but only several MT_L proteins have been detected and no experimental structural information for MT_L p... With the progress of plant genome research, more than 50 plant metallothionein_like (MT_L) genes have been found, but only several MT_L proteins have been detected and no experimental structural information for MT_L proteins has been reported so far. Since detailed knowledge of the protein tertiary structure is required to understand its biological function, a method is needed to determine the structure of these proteins. In this study, the structural data of known mammal MT was used to determine the interatomic distance constraints of the CXC and CXXC motifs and the metal_sulfur chelating cluster. Then several possible MT conformations were predicted using a distance geometry algorithm. The statistical analysis was used to select those with much lower target function values and lower conformation energies as the predicted tertiary structural models of the cysteine_rich (CR) domains of these proteins. A suitable prediction method for modeling the CR domain of the plant MT_L protein was constructed. The accurately predicted result for the known structure of an MT protein from blue crab suggests that this method is practicable. The tertiary structures of CR domains of rape MT_L protein LSC54 was then modeled with this method. 展开更多
关键词 plant metallothionein-like protein cysteine rich domain tertiary structure prediction distance geometry algorithm
在线阅读 下载PDF
Development of Bioinfo-Portal Tool for the Analysis of Genomic and Proteomic Data
2
作者 Rana Rehan Khalid Bilal Hussain +3 位作者 Muhammad Ali Muhammad Sajjad Ahmad Asma Haque Hira Qamar 《Journal of Life Sciences》 2012年第5期485-488,共4页
The recent explosion of biological data and the concomitant proliferation of distributed databases make it challenging for biologists and bioinformaticians to discover the best data resources for their needs, and the ... The recent explosion of biological data and the concomitant proliferation of distributed databases make it challenging for biologists and bioinformaticians to discover the best data resources for their needs, and the most efficient way to access and use them For the biologist, running bioinformatics analyses involve a time-consuming management of data and tools. Users need support to organize their work, retrieve parameters and reproduce their analyses. They also need to be able to combine their analytic tools using a safe data flow software mechanism. Finally we have designed a system, Bioinfo-Portal, to provide a flexible and usable web environment for defining and running bioinformatics analyses. It embeds simple yet powerful data management features that allow the user to reproduce analyses and to combine tools using an adobe flex tool. Bioinfo-Portal can also act as a front end to provide a unified view of already-existing collections of bioinformatics resources. Users can analyze genomic and proteomic data by using the tools that has been integrated in the portal (tools for alignments, dotplots, motif detection, domain analysis, profile searching and tertiary structure prediction). The sequences that user obtained from portal's nucleotide and protein databases are easily analyzed by the portal tools on the same interface in no time. User can also take benefit from the animations. 展开更多
关键词 Bioinfo-Portal analytic tools flexible and usable web environment tertiary structure prediction domain analysis motifdetection alignments.
在线阅读 下载PDF
上一页 1 下一页 到第
使用帮助 返回顶部