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A Multiobjective Approach Applied to the Protein Structure Prediction Problem (Paperback)
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A Multiobjective Approach Applied to the Protein Structure Prediction Problem (Paperback)
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Interest in discovering a methodology for solving the Protein
Structure Prediction (PSP) problem extends into many fields of
study including biochemistry, medicine, biology, and numerous
engineering and science disciplines. Experimental approaches, such
as, x-ray crystallographic studies or solution Nuclear Magnetic
Resonance (NMR) Spectroscopy, to mathematical modelling, such as
minimum energy models are used to solve this problem. Recently,
Evolutionary Algorithm studies at the Air Force Institute of
Technology (AFIT) include the following: Simple GA, messy GA (mga),
fast messy GA (fmGA), and Linkage Learning GA (LLGA), as approaches
for potential protein energy minimization. Prepackaged software
like GENOCOP, GENESIS, and mGA are in use to facilitate
experimentation of these techniques. In addition to this software,
a parallelized version of the fmGA, the so called parallel fast
messy GA (pfmGA), is found to be good at finding semi-optimal
answers in a reasonable time. The aim of this work is to apply a
(Multiobjective MO) approach to solving this problem using a
modified fast messy GA. By dividing the CHARMm energy model into
separate objectives, it should be possible to find structural
configurations of a protein that yield lower energy values and
ultimately more correct conformations.
General
| Imprint: |
Biblioscholar
|
| Country of origin: |
United States |
| Release date: |
October 2012 |
| First published: |
October 2012 |
| Authors: |
Richard O. Day
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| Dimensions: |
246 x 189 x 12mm (L x W x T) |
| Format: |
Paperback - Trade
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| Pages: |
232 |
| ISBN-13: |
978-1-249-60039-8 |
| Categories: |
Books >
Social sciences >
Education >
General
Promotions
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| LSN: |
1-249-60039-1 |
| Barcode: |
9781249600398 |
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