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Biochemical and computational explor...

Abold, Katherine Wallis.

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Biochemical and computational exploration of heterocyclic substrate recognition and discrimination by eubacterialtRNA guanine transglycosylase.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Biochemical and computational exploration of heterocyclic substrate recognition and discrimination by eubacterialtRNA guanine transglycosylase./
作者:	Abold, Katherine Wallis.
面頁冊數:	231 p.
附註:	Source: Dissertation Abstracts International, Volume: 64-02, Section: B, page: 0691.
Contained By:	Dissertation Abstracts International64-02B.
標題:	Chemistry, Biochemistry. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3079399

Biochemical and computational exploration of heterocyclic substrate recognition and discrimination by eubacterialtRNA guanine transglycosylase.
Abold, Katherine Wallis.

Biochemical and computational exploration of heterocyclic substrate recognition and discrimination by eubacterialtRNA guanine transglycosylase. - 231 p.

Source: Dissertation Abstracts International, Volume: 64-02, Section: B, page: 0691.

Thesis (Ph.D.)--University of Michigan, 2003.

The eubacterial enzyme tRNA guanine transglycosylase (TGT) catalyzes the base exchange of guanine-34 in tRNAsTyr, His, Asn, and Asp for preQ1, a precursor of the modified base queuine. Using both biochemical and computational approaches, it was possible to investigate heterocyclic substrate recognition and to probe the discrimination of non-substrates of E. coli TGT. This work was accomplished in three specific aims. The first aim was the determination of the role of aspartic acid 143 in TGT. The second aim was the creation of a computational model of TGT for exploration of molecular recognition and prediction of ligand affinity. The last aim was to probe biochemically and computationally the ability of D143 mutants of TGT to recognize alternate substrates.Subjects--Topical Terms:

1017722
Chemistry, Biochemistry.

Biochemical and computational exploration of heterocyclic substrate recognition and discrimination by eubacterialtRNA guanine transglycosylase.
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100 1 $a Abold, Katherine Wallis. $3 1948124
245 1 0 $a Biochemical and computational exploration of heterocyclic substrate recognition and discrimination by eubacterialtRNA guanine transglycosylase.
300 $a 231 p.
500 $a Source: Dissertation Abstracts International, Volume: 64-02, Section: B, page: 0691.
500 $a Chair: George A. Garcia.
502 $a Thesis (Ph.D.)--University of Michigan, 2003.
520 $a The eubacterial enzyme tRNA guanine transglycosylase (TGT) catalyzes the base exchange of guanine-34 in tRNAsTyr, His, Asn, and Asp for preQ1, a precursor of the modified base queuine. Using both biochemical and computational approaches, it was possible to investigate heterocyclic substrate recognition and to probe the discrimination of non-substrates of E. coli TGT. This work was accomplished in three specific aims. The first aim was the determination of the role of aspartic acid 143 in TGT. The second aim was the creation of a computational model of TGT for exploration of molecular recognition and prediction of ligand affinity. The last aim was to probe biochemically and computationally the ability of D143 mutants of TGT to recognize alternate substrates.
520 $a It was experimentally determined that aspartic acid 143 in E. coli TGT plays a role in heterocycle recognition. A homology model of E. coli TGT was built to complement these biochemical studies, providing a more thorough investigation of the role of D143. Using the Linear Interaction Energy method, free energies of binding of guanine to wild-type and D143 mutant TGTs were computationally determined. They reproduce the experimental results very well, indicating a reliable and accurate computational model of TGT.
520 $a Once the role of D143 in heterocyclic substrate recognition had been elucidated, the next logical step was to determine whether substrate specificity of D143 mutant TGTs was altered. Using biochemical and computational methods, it was determined that the substrate specificity of D143N TGT was indeed altered to prefer xanthine over guanine. It was also possible to extend the use of this model to predict the binding of other compounds: preQ1, 2-oxo-preQ 1, and 3-methyl-preQ1. A complete inversion of specificity was predicted for both alternate substrates; 2-oxo-preQ1 was predicted to be best recognized by D143N, while 3-methyl-preQ1 was predicted to be best recognized by D143S.
520 $a This work has provided a solid foundation for the use of multiple techniques to investigate heterocyclic substrate recognition. Additionally, since this enzyme has been shown to be partially responsible for the virulence of the disease Shigellosis, it is possible to use these complementary techniques to enhance the efficiency of drug design.
590 $a School code: 0127.
650 4 $a Chemistry, Biochemistry. $3 1017722
650 4 $a Health Sciences, Pharmacy. $3 1017737
690 $a 0487
690 $a 0572
710 2 0 $a University of Michigan. $3 777416
773 0 $t Dissertation Abstracts International $g 64-02B.
790 1 0 $a Garcia, George A., $e advisor
790 $a 0127
791 $a Ph.D.
792 $a 2003
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3079399