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Chu Yu Zhang

Publications and source records attributed to Chu Yu Zhang.

2 recordsLinked to original sources

A new method based on entropy theory for genomic sequence analysis.

We have refined entropy theory to explore the meaning of the increasing sequence data on nucleic acids and proteins more conveniently. The concept of selection constraint was not introduced, only the analyzed sequences themselves were considered. The refined theory serves as a basis for deriving a method to analyze non-coding regions (NCRs) as well as coding regions. Positions with maximal entropy might play the most important role in genome functions as opposed to positions with minimal entropy. This method was tested in the well-characterized coding regions of 12 strains of Classical Swine Fever Virus (CSFV) and non-coding regions of 20 strains of CSFV. It is suitable to analyze nucleic acid sequences of a complete genome and to detect sensitive positions for mutagenesis. As such, the method serves to formulate the basis for elucidating the functional mechanism.

Algorithms↗

[Prediction of recognition sites for genomic replication of classical swine fever virus with information analysis].

In order to explore the mechanism for the genomic replication of classical swine fever virus (CSFV), so as to make a basis for investigating its pathogenicity, an introduction of the information theory is presented in connection with the statistical mechanics, whence small-sample statistics appears naturally as a consequence of the Bayesian approach. Furthermore, a selection rule for identifying the pattern of a recognition site for an RNA-binding protein is proposed by means of the maximum entropy principle. Based on those, the information contents of 3'-untranslated regions (3'UTRs) of genomes of 20 CSFV strains and 5'-untranslated regions (5'UTRs) of genomes of 58 CSFV strains are analyzed with a computational algorithm in a reduction mode, and the 3'UTR sites of 20 strains and 5'UTR sites of 58 strains containing important motifs are extracted from the unaligned RNA sequences of unequal lengths. These sites, which have the patterns of sequence and structure similar to the putative cis elements related to the regulation of genomic replication, would be identified as the potential recognition sites in 3'UTRs and 5'UTRs for CSFV replicase responsible for classical swine fever virus genomic replication, and to some extent, this identification is supported by experimental evidence. Finally, information analysis allows a presumption to be made about the CSFV RNA replication initiation mechanism.

3' Untranslated Regions↗