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Folding biological sequences on a th...

Mayne, Martin.

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Folding biological sequences on a three-dimensional triangular lattice: Algorithms and tools.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Folding biological sequences on a three-dimensional triangular lattice: Algorithms and tools./
Author:	Mayne, Martin.
Description:	91 p.
Notes:	Adviser: Minghui Jiang.
Contained By:	Masters Abstracts International46-02.
Subject:	Artificial Intelligence. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1448061
ISBN:	9780549215554

Folding biological sequences on a three-dimensional triangular lattice: Algorithms and tools.
Mayne, Martin.

Folding biological sequences on a three-dimensional triangular lattice: Algorithms and tools. - 91 p.

Adviser: Minghui Jiang.

Thesis (M.S.)--Utah State University, 2007.

One approach to predicting the folded structure of proteins involves modeling each amino acid base as a single point on a lattice and then laying out the protein so that if forms a self-avoiding walk on the lattice. The amino acids are then divided into hydrophobic (H) and polar (P) groups. An approximation of the folded structure can then be predicted by finding a folding that maximizes the number of H-H contacts. This modelis known as the hydrophobic-hydrophilic (HP) model. Although easily adapted, this approach has not been used previously for predicting the folded structure of RNA. WE introduce the Delta, tool set for the analyzing the structure of RNA on a 3D triangular lattice. The Delta tool set includes a proof-of-concept RNA folding program that is both fast and accurate in predicting the secondary structures with pseudoknots of short RNA sequences.

ISBN: 9780549215554Subjects--Topical Terms:

769149
Artificial Intelligence.

Folding biological sequences on a three-dimensional triangular lattice: Algorithms and tools.
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020 $a 9780549215554
035 $a (UMI)AAI1448061
035 $a AAI1448061
040 $a UMI $c UMI
100 1 $a Mayne, Martin. $3 1282503
245 1 0 $a Folding biological sequences on a three-dimensional triangular lattice: Algorithms and tools.
300 $a 91 p.
500 $a Adviser: Minghui Jiang.
500 $a Source: Masters Abstracts International, Volume: 46-02, page: 0809.
502 $a Thesis (M.S.)--Utah State University, 2007.
520 $a One approach to predicting the folded structure of proteins involves modeling each amino acid base as a single point on a lattice and then laying out the protein so that if forms a self-avoiding walk on the lattice. The amino acids are then divided into hydrophobic (H) and polar (P) groups. An approximation of the folded structure can then be predicted by finding a folding that maximizes the number of H-H contacts. This modelis known as the hydrophobic-hydrophilic (HP) model. Although easily adapted, this approach has not been used previously for predicting the folded structure of RNA. WE introduce the Delta, tool set for the analyzing the structure of RNA on a 3D triangular lattice. The Delta tool set includes a proof-of-concept RNA folding program that is both fast and accurate in predicting the secondary structures with pseudoknots of short RNA sequences.
590 $a School code: 0241.
650 4 $a Artificial Intelligence. $3 769149
650 4 $a Biology, Bioinformatics. $3 1018415
650 4 $a Biology, Molecular. $3 1017719
690 $a 0307
690 $a 0715
690 $a 0800
710 2 $a Utah State University. $3 960049
773 0 $t Masters Abstracts International $g 46-02.
790 $a 0241
790 1 0 $a Jiang, Minghui, $e advisor
791 $a M.S.
792 $a 2007
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1448061