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Protein structure and stability: Geo...

Li, Xiang.

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Protein structure and stability: Geometric analysis and applications.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Protein structure and stability: Geometric analysis and applications./
Author:	Li, Xiang.
Description:	249 p.
Notes:	Adviser: Jie Liang.
Contained By:	Dissertation Abstracts International68-06B.
Subject:	Biology, Bioinformatics. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3267027
ISBN:	9780549057529

Protein structure and stability: Geometric analysis and applications.
Li, Xiang.

Protein structure and stability: Geometric analysis and applications. - 249 p.

Adviser: Jie Liang.

Thesis (Ph.D.)--University of Illinois at Chicago, 2007.

Due to the increasing number of determined protein sequences and the need to predict their structures, there is an intense effort at present to develop potential energy functions that can distinguish native from misfolded conformations. We develop a distance and packing dependent geometric energy function, aiming to estimate the potentials of different geometric regions.

ISBN: 9780549057529Subjects--Topical Terms:

1018415
Biology, Bioinformatics.

Protein structure and stability: Geometric analysis and applications.
LDR:02298nam 2200289 a 45 001 947627
005 20110524
008 110524s2007 ||||||||||||||||| ||eng d
020 $a 9780549057529
035 $a (UMI)AAI3267027
035 $a AAI3267027
040 $a UMI $c UMI
100 1 $a Li, Xiang. $3 927884
245 1 0 $a Protein structure and stability: Geometric analysis and applications.
300 $a 249 p.
500 $a Adviser: Jie Liang.
500 $a Source: Dissertation Abstracts International, Volume: 68-06, Section: B, page: 3483.
502 $a Thesis (Ph.D.)--University of Illinois at Chicago, 2007.
520 $a Due to the increasing number of determined protein sequences and the need to predict their structures, there is an intense effort at present to develop potential energy functions that can distinguish native from misfolded conformations. We develop a distance and packing dependent geometric energy function, aiming to estimate the potentials of different geometric regions.
520 $a We show our geometric energy function can discriminate native from misfolded structures for both protein folding and docking. We show the application of our geometric energy function on the computational design of CDR-like phage peptide libraries. We develop methods for designing biased peptide libraries based on the geometric potential derived from antibody-antigen com plexes, so as to increase the likelihood of finding long peptides that bind to a protein.
520 $a We further show the application of the geometric energy function on the prediction of coupled interface patches in protein-protein interaction. We develop a novel algorithm to transform a surface patch embedded in three-dimensional space into a linear sequence while retaining the spatial relations. Pairs of linearized patch sequences from two protein are then aligned. Encouragingly, several successes have been achieved based on this prototype scheme. Our novel method provides specific information on protein-protein interactions and is free from the false negative problem.
590 $a School code: 0799.
650 4 $a Biology, Bioinformatics. $3 1018415
690 $a 0715
710 2 $a University of Illinois at Chicago. $3 1020478
773 0 $t Dissertation Abstracts International $g 68-06B.
790 $a 0799
790 1 0 $a Liang, Jie, $e advisor
791 $a Ph.D.
792 $a 2007
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3267027