Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/38818
Title: Development Of Database And Computational Methods For Disease Detection And Drug Discovery
Authors: HAN BUCONG
Keywords: Database Development, Microbial Pathogen Diagnostic Methods, Virtual Screening, Src Inhibitors, VEGFR-2 Inhibitors, Drug Discovery
Issue Date: 24-Jan-2013
Source: HAN BUCONG (2013-01-24). Development Of Database And Computational Methods For Disease Detection And Drug Discovery. ScholarBank@NUS Repository.
Abstract: Bioinformatics and cheminformatics tools have been developed to increase the efficiency of pharmaceutical research and development. Several computational approaches facilitating disease detection and drug discovery are presented in this thesis. Through database development of microbial pathogen diagnostic methods and database update of therapeutic targets, it helps investigate the mechanism of disease, detection and treatment of disease, and drug discovery. Various software tools have been intensively explored and developed for the application of virtual screening. In this thesis, SVM based virtual screening tools have been evaluated to work efficiently in searching Src and VEGFR-2 inhibitors from large compound libraries at low false-hit rates. To further verify the screening models, the virtual hits of models have been tested experimentally. These projects facilitate drug discovery by reducing the cost and time in developing novel drug lead.
URI: http://scholarbank.nus.edu.sg/handle/10635/38818
Appears in Collections:Ph.D Theses (Open)

Show full item record
Files in This Item:
File Description SizeFormatAccess SettingsVersion 
PhD_Thesis_HAN_Bucong_2013_SMA(CSB).pdf5.85 MBAdobe PDF

OPEN

NoneView/Download

Page view(s)

234
checked on Dec 11, 2017

Download(s)

313
checked on Dec 11, 2017

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.