Skip Navigation



Nucleic Acids Research Advance Access published online on June 1, 2007

Nucleic Acids Research, doi:10.1093/nar/gkm342
This Article
Right arrow Full Text Freely available
Right arrow Print PDF (953K) Freely available
Right arrow Screen PDF (176K) Freely available
Right arrow Supplementary Material
Right arrowOA All Versions of this Article:
35/suppl_2/W477    most recent
gkm342v1
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Add to My Personal Archive
Right arrow Download to citation manager
Right arrow Commercial Re-use Guidelines
for Open Access NAR Content
Google Scholar
Right arrow Articles by Franklin, J.
Right arrow Articles by Delarue, M.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Franklin, J.
Right arrow Articles by Delarue, M.
Social Bookmarking
 Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?

© 2007 The Author(s)
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.


Web Server Issue

MinActionPath: maximum likelihood trajectory for large-scale structural transitions in a coarse-grained locally harmonic energy landscape

Joel Franklin1, Patrice Koehl2, Sebastian Doniach3 and Marc Delarue4,*

1Department of Physics, Reed College, Portland, OR 97202, USA, 2Department of Computer Science and Genome Center, UC Davis, Davis, CA 95616, USA, 3Departments of Physics and Applied Physics, Stanford University, Stanford, CA 94305-4045, USA, and 4Department of Structural Biology and Chemistry and URA 2185 du C.N.R.S., Institut Pasteur, Paris, France

*To whom correspondence should be addressed. Tel: +33-1-45-688605; Fax: +33-1-40-613793; Email: delarue{at}pasteur.fr

Received January 31, 2007. Revised April 19, 2007. Accepted April 22, 2007.

The non-linear problem of simulating the structural transition between two known forms of a macromolecule still remains a challenge in structural biology. The problem is usually addressed in an approximate way using ‘morphing’ techniques, which are linear interpolations of either the Cartesian or the internal coordinates between the initial and end states, followed by energy minimization. Here we describe a web tool that implements a new method to calculate the most probable trajectory that is exact for harmonic potentials; as an illustration of the method, the classical Calpha-based Elastic Network Model (ENM) is used both for the initial and the final states but other variants of the ENM are also possible. The Langevin equation under this potential is solved analytically using the Onsager and Machlup action minimization formalism on each side of the transition, thus replacing the original non-linear problem by a pair of linear differential equations joined by a non-linear boundary matching condition. The crossover between the two multidimensional energy curves around each state is found numerically using an iterative approach, producing the most probable trajectory and fully characterizing the transition state and its energy. Jobs calculating such trajectories can be submitted on-line at: http://lorentz.dynstr.pasteur.fr/joel/index.php.


Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us    What's this?




Disclaimer:
Please note that abstracts for content published before 1996 were created through digital scanning and may therefore not exactly replicate the text of the original print issues. All efforts have been made to ensure accuracy, but the Publisher will not be held responsible for any remaining inaccuracies. If you require any further clarification, please contact our Customer Services Department.