Document Detail


Automating the search of molecular motor templates by evolutionary methods.
MedLine Citation:
PMID:  21784125     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
Biological molecular motors are nanoscale devices capable of transforming chemical energy into mechanical work, which are being researched in many scientific disciplines. From a computational point of view, the characteristics and dynamics of these motors are studied at multiple time scales, ranging from very detailed and complex molecular dynamics simulations spanning a few microseconds, to extremely simple and coarse-grained theoretical models of their working cycles. However, this research is performed only in the (relatively few) instances known from molecular biology. In this work, results from elastic network analysis and behaviour-finding methods are applied to explore a subset of the configuration space of template molecular structures that are able to transform chemical energy into directed movement, for a fixed instance of working cycle. While using methods based on elastic networks limits the scope of our results, it enables the implementation of computationally lightweight methods, in a way that evolutionary search techniques can be applied to discover novel molecular motor templates. The results show that molecular motion can be attained from a variety of structural configurations, when a functional working cycle is provided. Additionally, these methods enable a new computational way to test hypotheses about molecular motors.
Authors:
Jose D Fernández; Francisco J Vico
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Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2011-7-18
Journal Detail:
Title:  Bio Systems     Volume:  -     ISSN:  1872-8324     ISO Abbreviation:  -     Publication Date:  2011 Jul 
Date Detail:
Created Date:  2011-7-25     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  0430773     Medline TA:  Biosystems     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Copyright Information:
Copyright © 2011. Published by Elsevier Ireland Ltd.
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