DocumentCode
2497668
Title
An Efficient Hardware-Based Approach for Molecular Folding Calculations via System-on-Chip
Author
Sung, Wen-Tsai
Author_Institution
Dept. of Electr. Eng., Nat. Chin-Yi Univ. of Technol., Taiping, Taiwan
fYear
2009
fDate
11-13 June 2009
Firstpage
1
Lastpage
4
Abstract
This paper presents a methodology for the design of a reconfigurable computing system applied to a complex problem in molecular Biology: the protein folding problem. This paper employed VMD tool and force field simulation theorem based on FPGA for protein folding solution. This technique consists of two components: finished protein folding process and found out active sites for drug docking. The goal of protein folding simulation is to search the global energy minimum location with stability state and the when the protein is finished the folding task, we can find out the active sites for pre-process of ligand protein docking. An efficient hardware-based approach was devised to achieve a significant reduction of the search space of possible foldings. Several simulations were done to evaluate the performance of the system as well as the demand for FPGA´s resources.
Keywords
biology computing; drugs; field programmable gate arrays; molecular biophysics; molecular configurations; proteins; reconfigurable architectures; system-on-chip; FPGA; VMD tool; active sites; drug docking; force field simulation theorem; global energy minimum location; hardware-based approach; molecular biology; molecular folding calculation; protein folding; reconfigurable computing system; system-on-chip; Alzheimer´s disease; Biological system modeling; Biology computing; Computational modeling; Computer simulation; Drugs; Field programmable gate arrays; Nanobioscience; Proteins; System-on-a-chip;
fLanguage
English
Publisher
ieee
Conference_Titel
Bioinformatics and Biomedical Engineering , 2009. ICBBE 2009. 3rd International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4244-2901-1
Electronic_ISBN
978-1-4244-2902-8
Type
conf
DOI
10.1109/ICBBE.2009.5162315
Filename
5162315
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