東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Conserved functional dynamics in the...

Wilson, Kimberly A.

Linked to FindBook

Google Book

Amazon

博客來

Conserved functional dynamics in the cell signaling protein Pin1: Investigations by bioinformatics and NMR.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Conserved functional dynamics in the cell signaling protein Pin1: Investigations by bioinformatics and NMR./
Author:	Wilson, Kimberly A.
Description:	200 p.
Notes:	Source: Dissertation Abstracts International, Volume: 75-06(E), Section: B.
Contained By:	Dissertation Abstracts International75-06B(E).
Subject:	Chemistry, Biochemistry. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3585341
ISBN:	9781303776335

Conserved functional dynamics in the cell signaling protein Pin1: Investigations by bioinformatics and NMR.
Wilson, Kimberly A.

Conserved functional dynamics in the cell signaling protein Pin1: Investigations by bioinformatics and NMR. - 200 p.

Source: Dissertation Abstracts International, Volume: 75-06(E), Section: B.

Thesis (Ph.D.)--University of Notre Dame, 2013.

In the past few years, several functional site prediction methods have been introduced that aim to predict the biologically relevant amino acids in proteins based purely off of a multiple sequence alignment. These methods utilize a variety of approaches including conservation, divergence, and perturbation to identify the functionally important amino acid positions (primary sequence or 3D structure) within the protein sequence. Yet, the question remains if these methods accurately predict the functionally important residues within a protein found experimentally. This dissertation investigates the capability of the bioinformatic functional site prediction methods. Residues known to participate in conformational dynamics associated with substrate binding, as observed experimentally by Nuclear Magnetic Resonance (NMR) spectroscopy, are compared to those residues highlighted by the prediction methods.

ISBN: 9781303776335Subjects--Topical Terms:

1017722
Chemistry, Biochemistry.

Conserved functional dynamics in the cell signaling protein Pin1: Investigations by bioinformatics and NMR.
LDR:03267nam a2200325 4500 001 1964642
005 20141010092629.5
008 150210s2013 ||||||||||||||||| ||eng d
020 $a 9781303776335
035 $a (MiAaPQ)AAI3585341
035 $a AAI3585341
040 $a MiAaPQ $c MiAaPQ
100 1 $a Wilson, Kimberly A. $3 2101131
245 1 0 $a Conserved functional dynamics in the cell signaling protein Pin1: Investigations by bioinformatics and NMR.
300 $a 200 p.
500 $a Source: Dissertation Abstracts International, Volume: 75-06(E), Section: B.
500 $a Adviser: Jeffrey W. Peng.
502 $a Thesis (Ph.D.)--University of Notre Dame, 2013.
520 $a In the past few years, several functional site prediction methods have been introduced that aim to predict the biologically relevant amino acids in proteins based purely off of a multiple sequence alignment. These methods utilize a variety of approaches including conservation, divergence, and perturbation to identify the functionally important amino acid positions (primary sequence or 3D structure) within the protein sequence. Yet, the question remains if these methods accurately predict the functionally important residues within a protein found experimentally. This dissertation investigates the capability of the bioinformatic functional site prediction methods. Residues known to participate in conformational dynamics associated with substrate binding, as observed experimentally by Nuclear Magnetic Resonance (NMR) spectroscopy, are compared to those residues highlighted by the prediction methods.
520 $a The comparison of results given above will provide insight into the protein evolution-dynamics-function relationship. A test of how well the current prediction methods perform at selecting the functionally relevant residues is presented herein.
520 $a Specifically, because dynamics are encoded in the protein sequence and are required for function, then a mutation of a functionally important position will alter both the internal dynamics and its activity. The time scales for such motions can be on the order of slow (mus-ms) to fast (ps-ns) motions. Nuclear Magnetic Resonance (NMR) is a non-invasive technique which probes such dynamics relevant for function.
520 $a Overlap exists between the bioinformatic prediction methods and the experimental data for many of the residues used in the model system, human Pin1. Many of the residues identified experimentally by NMR to have conformational dynamics due to substrate binding are the same residues predicted to be functionally relevant from the functional site prediction methods. For a select few amino acid positions, the agreement between the two approaches is not perfect. What follows in this thesis is a discussion on two mutations of Pin1. For the one mutation, M130A, agreement exists between the functional site prediction methods and experimental intrinsic dynamics. In the other, I28A, the agreement between the two methods fails.
590 $a School code: 0165.
650 4 $a Chemistry, Biochemistry. $3 1017722
650 4 $a Biology, Bioinformatics. $3 1018415
650 4 $a Biophysics, General. $3 1019105
690 $a 0487
690 $a 0715
690 $a 0786
710 2 $a University of Notre Dame. $3 807615
773 0 $t Dissertation Abstracts International $g 75-06B(E).
790 $a 0165
791 $a Ph.D.
792 $a 2013
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3585341