dc.contributor.authorLu, Bai Fang
dc.date.accessioned2010-07-05T04:29:10Z
dc.date.accessioned2017-07-23T08:39:42Z
dc.date.available2010-07-05T04:29:10Z
dc.date.available2017-07-23T08:39:42Z
dc.date.copyright2008en_US
dc.date.issued2008
dc.identifier.citationLu, B. F. (2008). Protein modeling, ligand-protein docking, and visualization. Doctoral thesis, Nanyang Technological University, Singapore.
dc.identifier.urihttp://hdl.handle.net/10356/41441
dc.description.abstractWith more and more protein structures being identified, as well as rapid developments in the pharmaceutical industry, computational biology is increasinglyplaying a vital role in biological data retrieval, analysis, and visualization. Cost-effective approaches to identify the docking potential between proteins and ligands are highly desirable. Successful docking of ligands and proteins is the goal in a virtual screening process. The docking methods involve system representation, conformational searching and matching, and ranking mechanisms. Docking algorithms are typically very time consuming. But in the early stages of drug discovery, there is generally a need for a massive virtual screening process to identify potential drug candidates or pharmacophores. This motivates us to develop a ligand-protein docking algorithm with emphasis on high performance.en_US
dc.format.extent153 p.en_US
dc.language.isoenen_US
dc.subjectDRNTU::Engineering::Mechanical engineeringen_US
dc.titleProtein modeling, ligand-protein docking, and visualizationen_US
dc.typeThesis
dc.contributor.schoolSchool of Mechanical and Aerospace Engineeringen_US
dc.contributor.supervisorCai Yiyu (MAE)en_US
dc.description.degreeDOCTOR OF PHILOSOPHY (MAE)en_US


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