Protein modeling, ligand-protein docking, and visualization

With 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 betwe...

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Bibliographic Details
Main Author: Lu, Bai Fang
Other Authors: Cai Yiyu
Format: Theses and Dissertations
Language:English
Published: 2010
Subjects:
Online Access:https://hdl.handle.net/10356/41441
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Institution: Nanyang Technological University
Language: English
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Summary:With 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.