Rigid Molecule Docking: FPGA Reconfiguration for Alternative Force Laws

<p/> <p>Molecular docking is one of the primary computational methods used by pharmaceutical companies to try to reduce the cost of drug discovery. A common docking technique, used for low-resolution screening or as an intermediate step, performs a three-dimensional correlation between t...

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Main Authors: VanCourt Tom, Gu Yongfeng, Mundada Vikas, Herbordt Martin
Format: Article
Language:English
Published: SpringerOpen 2006-01-01
Series:EURASIP Journal on Advances in Signal Processing
Online Access:http://dx.doi.org/10.1155/ASP/2006/97950
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spelling doaj-cb108e7cd6f6466ba9edbbf9fde96a762020-11-25T00:58:02ZengSpringerOpenEURASIP Journal on Advances in Signal Processing1687-61721687-61802006-01-0120061097950Rigid Molecule Docking: FPGA Reconfiguration for Alternative Force LawsVanCourt TomGu YongfengMundada VikasHerbordt Martin<p/> <p>Molecular docking is one of the primary computational methods used by pharmaceutical companies to try to reduce the cost of drug discovery. A common docking technique, used for low-resolution screening or as an intermediate step, performs a three-dimensional correlation between two molecules to test for favorable interactions between them. We extend our previous work on FPGA-based docking accelerators, using reconfigurability for customization of the physical laws and geometric models that describe molecule interaction. Our approach, based on direct summation, allows straightforward combination of multiple forces and enables nonlinear force models; the latter, in particular, are incompatible with the transform-based techniques typically used. Our approach has the further advantage of supporting spatially oriented values in molecule models, as well as the detection of multiple positions representing favorable interactions. We report performance measurements on several different models of chemical behavior and show speedups of from <inline-formula><graphic file="1687-6180-2006-097950-i1.gif"/></inline-formula> to <inline-formula><graphic file="1687-6180-2006-097950-i2.gif"/></inline-formula> over a PC.</p> http://dx.doi.org/10.1155/ASP/2006/97950
collection DOAJ
language English
format Article
sources DOAJ
author VanCourt Tom
Gu Yongfeng
Mundada Vikas
Herbordt Martin
spellingShingle VanCourt Tom
Gu Yongfeng
Mundada Vikas
Herbordt Martin
Rigid Molecule Docking: FPGA Reconfiguration for Alternative Force Laws
EURASIP Journal on Advances in Signal Processing
author_facet VanCourt Tom
Gu Yongfeng
Mundada Vikas
Herbordt Martin
author_sort VanCourt Tom
title Rigid Molecule Docking: FPGA Reconfiguration for Alternative Force Laws
title_short Rigid Molecule Docking: FPGA Reconfiguration for Alternative Force Laws
title_full Rigid Molecule Docking: FPGA Reconfiguration for Alternative Force Laws
title_fullStr Rigid Molecule Docking: FPGA Reconfiguration for Alternative Force Laws
title_full_unstemmed Rigid Molecule Docking: FPGA Reconfiguration for Alternative Force Laws
title_sort rigid molecule docking: fpga reconfiguration for alternative force laws
publisher SpringerOpen
series EURASIP Journal on Advances in Signal Processing
issn 1687-6172
1687-6180
publishDate 2006-01-01
description <p/> <p>Molecular docking is one of the primary computational methods used by pharmaceutical companies to try to reduce the cost of drug discovery. A common docking technique, used for low-resolution screening or as an intermediate step, performs a three-dimensional correlation between two molecules to test for favorable interactions between them. We extend our previous work on FPGA-based docking accelerators, using reconfigurability for customization of the physical laws and geometric models that describe molecule interaction. Our approach, based on direct summation, allows straightforward combination of multiple forces and enables nonlinear force models; the latter, in particular, are incompatible with the transform-based techniques typically used. Our approach has the further advantage of supporting spatially oriented values in molecule models, as well as the detection of multiple positions representing favorable interactions. We report performance measurements on several different models of chemical behavior and show speedups of from <inline-formula><graphic file="1687-6180-2006-097950-i1.gif"/></inline-formula> to <inline-formula><graphic file="1687-6180-2006-097950-i2.gif"/></inline-formula> over a PC.</p>
url http://dx.doi.org/10.1155/ASP/2006/97950
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AT herbordtmartin rigidmoleculedockingfpgareconfigurationforalternativeforcelaws
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