| Encoding molecular motions in voxel maps. | |
| | |
MedLine Citation:
|
PMID: 20421686 Owner: NLM Status: In-Process |
Abstract/OtherAbstract:
|
This paper builds on the combination of robotic path planning algorithms and molecular modeling methods for computing large-amplitude molecular motions, and introduces voxel maps as a computational tool to encode and to represent such motions. We investigate several applications and show results that illustrate the interest of such representation. |
| | |
Authors:
|
Juan Cortés; Sophie Barbe; Monique Erard; Thierry Siméon |
Related Documents
:
|
20505226 - Chemotaxis of escherichia coli to l-serine. 20831506 - A treatment planning study of the potential of geometrical tracking for intensity modul... 17946416 - In-vivo non-invasive motion tracking and correction in high intensity focused ultrasoun... 12696056 - Atomic resolution structure of prokaryotic phospholipase a2: analysis of internal motio... 11355386 - The timing of control signals underlying fast point-to-point arm movements. 18754646 - Si-cdsse core/shell nanowires with continuously tunable light emission. |
Publication Detail:
|
Type: Journal Article; Research Support, Non-U.S. Gov't |
Journal Detail:
|
Title: IEEE/ACM transactions on computational biology and bioinformatics / IEEE, ACM Volume: 8 ISSN: 1557-9964 ISO Abbreviation: IEEE/ACM Trans Comput Biol Bioinform Publication Date: 2011 Mar-Apr |
Date Detail:
|
Created Date: 2011-02-04 Completed Date: - Revised Date: - |
Medline Journal Info:
|
Nlm Unique ID: 101196755 Medline TA: IEEE/ACM Trans Comput Biol Bioinform Country: United States |
Other Details:
|
Languages: eng Pagination: 557-63 Citation Subset: IM |
Affiliation:
|
LAAS-CNRS, 7 avenue du Colonel Roche, F-31077 Toulouse, France. jcortes@laas.fr |
Export Citation:
|
APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
|
|
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
Previous Document: Relation-aware Isosurface Extraction in Multi-field Data.
Next Document: Multitask learning for protein subcellular location prediction.