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Bioinformatics Methods for Natural P...

Mohimani, Hosein.

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Bioinformatics Methods for Natural Product Discovery.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Bioinformatics Methods for Natural Product Discovery./
Author:	Mohimani, Hosein.
Description:	92 p.
Notes:	Source: Dissertation Abstracts International, Volume: 75-02(E), Section: B.
Contained By:	Dissertation Abstracts International75-02B(E).
Subject:	Biology, Bioinformatics. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3598505
ISBN:	9781303471506

Bioinformatics Methods for Natural Product Discovery.
Mohimani, Hosein.

Bioinformatics Methods for Natural Product Discovery. - 92 p.

Source: Dissertation Abstracts International, Volume: 75-02(E), Section: B.

Thesis (Ph.D.)--University of California, San Diego, 2013.

Most of new chemical entities introduced as antibacterials over the last decades are derivated from natural products produced by living organisms. Some of the most effective antibiotics are peptidic natural products. The traditional process of natural products discovery is to elucidate strcuture of the compound of interest by chemical assays such as Nuclear Magnetic Resonance and Crystallography, and association of the chemical compound to its biosynthetic gene cluster by genome manipulation. This process is long, laborious, and requires large amounts of highly purified material. Recent advances in mass spectrometry has enabled natural product discovery from picograms of material. In this thesis we propose various computational techniques to aid natural product discovery by computational mass spectrometry.

ISBN: 9781303471506Subjects--Topical Terms:

1018415
Biology, Bioinformatics.

Bioinformatics Methods for Natural Product Discovery.
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020 $a 9781303471506
035 $a (MiAaPQ)AAI3598505
035 $a AAI3598505
040 $a MiAaPQ $c MiAaPQ
100 1 $a Mohimani, Hosein. $3 2101136
245 1 0 $a Bioinformatics Methods for Natural Product Discovery.
300 $a 92 p.
500 $a Source: Dissertation Abstracts International, Volume: 75-02(E), Section: B.
500 $a Advisers: Pavel A. Pavezner; Alexander Vardy.
502 $a Thesis (Ph.D.)--University of California, San Diego, 2013.
520 $a Most of new chemical entities introduced as antibacterials over the last decades are derivated from natural products produced by living organisms. Some of the most effective antibiotics are peptidic natural products. The traditional process of natural products discovery is to elucidate strcuture of the compound of interest by chemical assays such as Nuclear Magnetic Resonance and Crystallography, and association of the chemical compound to its biosynthetic gene cluster by genome manipulation. This process is long, laborious, and requires large amounts of highly purified material. Recent advances in mass spectrometry has enabled natural product discovery from picograms of material. In this thesis we propose various computational techniques to aid natural product discovery by computational mass spectrometry.
590 $a School code: 0033.
650 4 $a Biology, Bioinformatics. $3 1018415
650 4 $a Health Sciences, Pharmacy. $3 1017737
690 $a 0715
690 $a 0572
710 2 $a University of California, San Diego. $b Electrical Engineering. $3 1669302
773 0 $t Dissertation Abstracts International $g 75-02B(E).
790 $a 0033
791 $a Ph.D.
792 $a 2013
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3598505