منابع مشابه
Network of tRNA Gene Sequences
We showed in this paper that similarity network can be used as an powerful tools to study the relationship of tRNA genes. We constructed a network of 3719 tRNA gene sequences using simplest alignment and studied its topology, degree distribution and clustering coefficient. It is found that the behavior of the network shift from fluctuated distribution to scale-free distribution when the similar...
متن کاملAnalysis of tRNA Gene Sequences by Neural Network
The quantitative similarity among tRNA gene sequences was acquired by analysis with an artificial neural network. The evolutionary relationship derived from our results was consistent with those from other methods. A new sequence was recognized to be a tRNA-like gene by a neural network on the analysis of similarity. All of our results showed the efficiency of the artificial neural network meth...
متن کاملCompilation of tRNA sequences and sequences of tRNA genes
Maintained at the Universitat Bayreuth, Bayreuth, Germany, the Compilation of tRNA Sequences and Sequences of tRNA Genes is accessible at the URL http://www.tRNA.uni-bayreuth.de with mirror site located at the Institute of Protein Research, Pushchino, Russia (http://alpha.protres.ru/trnadbase). The compilation is a searchable, periodically updated database of currently available tRNA sequences....
متن کاملAnticodon-dependent conservation of bacterial tRNA gene sequences.
The residues in tRNA that account for its tertiary fold and for its specific aminoacylation are well understood. In contrast, relatively little is known about the residues in tRNA that dictate its ability to transit the different sites of the ribosome. Yet protein synthesis cannot occur unless tRNA properly engages with the ribosome. This study analyzes tRNA gene sequences from 145 fully sequen...
متن کاملAnalysis of Molecular Evolution in Mitochondrial tRNA Gene Sequences
When studying about molecular evolution, it is very important to make phylogenetic trees from correlation of each sequence. We therefore developed a computational method [1] based on principal component analysis (PCA) and multidimensional scaling analysis (MDS). Our method is based on that used by the Casari et al. [2] to predict functional residues in ras-rab-rho super family. We have extended...
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ژورنال
عنوان ژورنال: Journal of Shanghai Jiaotong University (Science)
سال: 2008
ISSN: 1007-1172,1995-8188
DOI: 10.1007/s12204-008-0611-9