Biomedical subjects

Yasuhiro Futamura

Publications and source records attributed to Yasuhiro Futamura.

3 recordsLinked to original sources

PubMed2006

A method for finding optimal rna secondary structures using a new entropy model (vsfold).

We are developing a program to calculate optimal RNA secondary structures. The model uses di-nucleotide pairing energies as with most traditional approaches. However, for long-range entropy interactions, the approach uses an entropy-loss model based on the accumulated sum of the entropy of bonding between each base-pair weighted inversely by the correlation of the RNA sequence (the Kuhn length). Stiff RNA forms very different structures from flexible RNA. The results demonstrate that the long-range folding is largely governed by this entropy and the Kuhn length.

Entropy↗

PubMed2003

Statistics of trinucleotides in coding sequences and evolution.

The aim of this paper is to give measurements indicative of evolutional stages of the species. Two types of statistics of trinucleotides in coding regions are analysed for 27 species. The first one is the codon space, the nucleotide ratio for each of the three codon positions. We apply principal component analysis on this space and extract two principal components faithfully describing the original distribution of the codon space. The first principal component corresponds to the GC content. The second principal component classifies the species into three evolutional groups, Archaea, Bacteria and Eukaryota. The second statistics is the real and theoretical frequency of amino acids. The real frequency of an amino acid in a coding sequence is its frequency in the translated protein. The theoretical frequency is the expected frequency calculated from the ratio of nucleotides. We introduce the discrepancy between these two frequencies as an index of non-randomness of nucleotides in the sequence. This index of non-randomness divides the species into two groups: eukaryotes having smaller non-randomness (i.e. being more random) and prokaryotes having higher non-randomness.

Animals↗

PubMed2003

Analysis of the conformational energy landscape of human snRNA with a metric based on tree representation of RNA structures.

It is an outstanding problem to clarify how the RNA sequence is related to its structure and biological functions. We developed a simplified definition of a metric for tree representation of RNA secondary structures and analyzed the conformational energy landscapes of human spliceosomal snRNAs. We discuss the structural properties of the biological sequence by calculating the conformational energy landscapes based on the structural distance between each of the pairs in the set of suboptimal structures. The new index value is introduced for estimating the shapes of distribution patterns in conformational energy landscapes. We apply our method to the five human snRNAs and show that U1 snRNA has a multi-valley profile of the landscape, whereas the landscapes of the other four snRNAs have one steep valley. This result reflects different biological functions of these snRNAs in the pre-mRNA splicing process. The results of analyzing tRNAs and rRNAs show that the conformational energy landscapes of these sequences have multi-valley profiles.

Algorithms↗