東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Mathematical modeling of HIV-1 infec...

Purdue University., Mathematics.

FindBook

Google Book

Amazon

博客來

Mathematical modeling of HIV-1 infection and drug therapy.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Mathematical modeling of HIV-1 infection and drug therapy./
作者:	Rong, Libin.
面頁冊數:	173 p.
附註:	Adviser: Zhilan Feng.
Contained By:	Dissertation Abstracts International68-10B.
標題:	Biology, Virology. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3287226
ISBN:	9780549302971

Mathematical modeling of HIV-1 infection and drug therapy.
Rong, Libin.

Mathematical modeling of HIV-1 infection and drug therapy. - 173 p.

Adviser: Zhilan Feng.

Thesis (Ph.D.)--Purdue University, 2007.

Significant contributions have been made to our understanding of HIV-1 dynamics by use of mathematical modeling and experimental data analysis. This thesis begins with a brief review of some basic models used to study virus infection and to estimate important parameters that govern viral production and viral clearance. Then some recent developments in the modeling of HIV-1 dynamics and antiretroviral response are presented. The main focus of this thesis is on the impact of various classes of antiretroviral drugs that target different stages of the viral replication cycle. Age-structured models are developed to study the influence of drug therapy on the within-host virus dynamics. The effectiveness of different drug combinations is compared. Two-strain models are also developed to study the mechanisms underlying the emergence of drug resistance during therapy. The influence of time-varying drug efficacy due to dosing schedule and suboptimal adherence on antiviral responses is investigated. Finally, the eclipse stage of HIV-1 infection is incorporated into mathematical models to study the evolution of drug resistant viral strains with consideration of trade-offs between viral enzyme function and drug susceptibility. Findings of these modeling studies would provide more insights into HIV-1 pathogenesis and help us improve the current treatment.

ISBN: 9780549302971Subjects--Topical Terms:

1019068
Biology, Virology.

Mathematical modeling of HIV-1 infection and drug therapy.
LDR:02212nam 2200277 a 45 001 852937
005 20100701
008 100701s2007 ||||||||||||||||| ||eng d
020 $a 9780549302971
035 $a (UMI)AAI3287226
035 $a AAI3287226
040 $a UMI $c UMI
100 1 $a Rong, Libin. $3 1019067
245 1 0 $a Mathematical modeling of HIV-1 infection and drug therapy.
300 $a 173 p.
500 $a Adviser: Zhilan Feng.
500 $a Source: Dissertation Abstracts International, Volume: 68-10, Section: B, page: 6703.
502 $a Thesis (Ph.D.)--Purdue University, 2007.
520 $a Significant contributions have been made to our understanding of HIV-1 dynamics by use of mathematical modeling and experimental data analysis. This thesis begins with a brief review of some basic models used to study virus infection and to estimate important parameters that govern viral production and viral clearance. Then some recent developments in the modeling of HIV-1 dynamics and antiretroviral response are presented. The main focus of this thesis is on the impact of various classes of antiretroviral drugs that target different stages of the viral replication cycle. Age-structured models are developed to study the influence of drug therapy on the within-host virus dynamics. The effectiveness of different drug combinations is compared. Two-strain models are also developed to study the mechanisms underlying the emergence of drug resistance during therapy. The influence of time-varying drug efficacy due to dosing schedule and suboptimal adherence on antiviral responses is investigated. Finally, the eclipse stage of HIV-1 infection is incorporated into mathematical models to study the evolution of drug resistant viral strains with consideration of trade-offs between viral enzyme function and drug susceptibility. Findings of these modeling studies would provide more insights into HIV-1 pathogenesis and help us improve the current treatment.
590 $a School code: 0183.
650 4 $a Biology, Virology. $3 1019068
650 4 $a Mathematics. $3 515831
690 $a 0405
690 $a 0720
710 2 $a Purdue University. $b Mathematics. $3 1019066
773 0 $t Dissertation Abstracts International $g 68-10B.
790 $a 0183
790 1 0 $a Feng, Zhilan, $e advisor
791 $a Ph.D.
792 $a 2007
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3287226