語系:
繁體中文
English
說明(常見問題)
圖資館首頁
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Computational design of receptor proteins.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Computational design of receptor proteins.
作者:
Looger, Loren Lee.
面頁冊數:
201 p.
附註:
Adviser: Homme W. Hellinga.
附註:
Source: Dissertation Abstracts International, Volume: 64-10, Section: B, page: 4821.
Contained By:
Dissertation Abstracts International64-10B.
標題:
Biophysics, General.
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3111184
ISBN:
0496587145
Computational design of receptor proteins.
Looger, Loren Lee.
Computational design of receptor proteins.
[electronic resource] - 201 p.
Adviser: Homme W. Hellinga.
Thesis (Ph.D.)--Duke University, 2003.
Protein binding to small molecules is a critical component of biological function. The manipulation of these interactions is therefore important for basic biochemical studies and has numerous biotechnological applications, including the construction of biosensors for arbitrary ligands, as well as the production of enzymes and signal transduction pathways with novel function. Computational design techniques offer generality for the engineering of protein function, and can address many more potential protein sequences than combinatorial methods. Improvements in the in silico representation of biomolecular structure and function, as well as algorithms for the systematic search of sequence space, have facilitated the construction of a computational method (the ReceptorDesign algorithm) that can drastically redesign protein ligand-binding specificities, with the preservation of overall protein architecture and stability. The ReceptorDesign algorithm has been used to recapitulate wild-type protein sequences for a family of bacterial periplasmic binding proteins, as well as to design novel protein binding partners for trinitrotoluene (TNT), L-lactate, and serotonin. The designed receptors have been shown to bind their target ligands with high affinity and specificity, and were incorporated into synthetic bacterial signal transduction pathways, regulating gene expression in response to extracellular TNT or lactate. The use of diverse ligands and proteins demonstrates the generality of the computational method for the redesign or de novo design of ligand-binding functionality in proteins and enzymes.
ISBN: 0496587145Subjects--Topical Terms:
226901
Biophysics, General.
Computational design of receptor proteins.
LDR
:02539nmm _2200253 _450
001
162305
005
20051017073432.5
008
230606s2003 eng d
020
$a
0496587145
035
$a
00148806
035
$a
162305
040
$a
UnM
$c
UnM
100
0
$a
Looger, Loren Lee.
$3
227434
245
1 0
$a
Computational design of receptor proteins.
$h
[electronic resource]
300
$a
201 p.
500
$a
Adviser: Homme W. Hellinga.
500
$a
Source: Dissertation Abstracts International, Volume: 64-10, Section: B, page: 4821.
502
$a
Thesis (Ph.D.)--Duke University, 2003.
520
#
$a
Protein binding to small molecules is a critical component of biological function. The manipulation of these interactions is therefore important for basic biochemical studies and has numerous biotechnological applications, including the construction of biosensors for arbitrary ligands, as well as the production of enzymes and signal transduction pathways with novel function. Computational design techniques offer generality for the engineering of protein function, and can address many more potential protein sequences than combinatorial methods. Improvements in the in silico representation of biomolecular structure and function, as well as algorithms for the systematic search of sequence space, have facilitated the construction of a computational method (the ReceptorDesign algorithm) that can drastically redesign protein ligand-binding specificities, with the preservation of overall protein architecture and stability. The ReceptorDesign algorithm has been used to recapitulate wild-type protein sequences for a family of bacterial periplasmic binding proteins, as well as to design novel protein binding partners for trinitrotoluene (TNT), L-lactate, and serotonin. The designed receptors have been shown to bind their target ligands with high affinity and specificity, and were incorporated into synthetic bacterial signal transduction pathways, regulating gene expression in response to extracellular TNT or lactate. The use of diverse ligands and proteins demonstrates the generality of the computational method for the redesign or de novo design of ligand-binding functionality in proteins and enzymes.
590
$a
School code: 0066.
650
# 0
$a
Biophysics, General.
$3
226901
650
# 0
$a
Chemistry, Biochemistry.
$3
226900
710
0 #
$a
Duke University.
$3
226880
773
0 #
$g
64-10B.
$t
Dissertation Abstracts International
790
$a
0066
790
1 0
$a
Hellinga, Homme W.,
$e
advisor
791
$a
Ph.D.
792
$a
2003
856
4 0
$u
http://libsw.nuk.edu.tw/login?url=http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3111184
$z
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3111184
筆 0 讀者評論
全部
電子館藏
館藏
1 筆 • 頁數 1 •
1
條碼號
館藏地
館藏流通類別
資料類型
索書號
使用類型
借閱狀態
預約狀態
備註欄
附件
000000000798
電子館藏
1圖書
學位論文
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
多媒體檔案
http://libsw.nuk.edu.tw/login?url=http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3111184
評論
新增評論
分享你的心得
Export
取書館別
處理中
...
變更密碼
登入