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Min-Ping Qian

Publications and source records attributed to Min-Ping Qian.

2 recordsLinked to original sources

Features of coding and noncoding sequences based on 3-tuple distributions.

The origin of non-coding sequences, especially introns,is an outstanding issue that has been receiving continuous debate for the last two decades. In the current work we use a mathematical model to characterize DNA sequences and find that the 3-tuple distributions in different reading frames of a given coding sequence differ sharply from each other, while they are almost identical to each other in introns or other non-coding sequences. SREs (Symmetric relative entropies) decrease progressively from coding sequences of primitive prokaryotes to those of advanced eukaryotes and from non-coding sequences of low eukaryotes to those of high eukaryotes with a correlation coefficient of 0.86. In silico evolution experiments show that SREs typical of higher eukaryotic introns can be achieved from prokaryotic coding sequences as the mutation ratio reaches 2/100. The fact that (a total of 25 introns) from all three different genomes S. pombe, C. elegans and H. sapiens searched are found to share high sequence identity with coding regions indicates that at least some introns may have come directly from CDS (coding sequences). We suggest that SREs may be a useful feature for evolutionary study.

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Predicting polymerase II core promoters by cooperating transcription factor binding sites in eukaryotic genes.

Several discriminate functions for predicting core promoters that based on the potential cooperation between transcription factor binding sites (TFBSs) are discussed. It is demonstrated that the promoter predicting accuracy is improved when the cooperation among TFBSs is taken into consideration. The core promoter region of a newly discovered gene CKLFSF1 is predicted to locate more than 1.5 kb far away from the 5' end of the transcript and in the last intron of its upstream gene, which is experimentally confirmed later. The core promoters of 3402 human RefSeq sequences, obtained by extending the mRNAs in human genome sequences, are predicted by our algorithm, and there are about 60% of the predicted core promoters locating within the +/- 500 bp region relative to the annotated transcription start site.

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