DocumentCode
2333173
Title
Energy-field reconstruction for haptic-based molecular docking using energy minimization processes
Author
Daunay, Bruno ; Micaelli, Alain ; Régnier, Stéphane
Author_Institution
CNRS - UPMC, Fontenay-aux-Roses
fYear
2007
fDate
Oct. 29 2007-Nov. 2 2007
Firstpage
2704
Lastpage
2709
Abstract
This paper presents a new method allowing haptic feedback in molecular docking simulations using a minimization process. These simulations, classically used by the pharmaceutical industry, for example Sanofl-Aventis, are based on the energy description of atoms to estimate the interactions between a ligand and a protein. The main drawback is that forces and torques cannot be calculated by the means of a simple derivation. The proposed method is to locally build an energy model, the shape of which is correctly predetermined, depending on parameters to be estimated, themselves functions of the energy of the interatomic interactions and of the displacement of the haptic device. The interaction´s wrench can be obtained using an analytic derivation of the energy model. The molecular simulator does not need to be optimized or modified, only the calculated interaction energy is used to build a model which will interact with the haptic device. This new method can then be used with any force field using a minimization process, ensuring stable manipulation, and a low- force dynamic, therefore allowing comprehensive and stable force feedback.
Keywords
biology computing; force feedback; haptic interfaces; molecular biophysics; pharmaceutical industry; analytic derivation; energy field reconstruction; energy minimization processes; force field; haptic based molecular docking; haptic feedback; interatomic interactions; molecular docking simulations; molecular simulator; pharmaceutical industry; stable force feedback; Drugs; Force feedback; Geometry; Haptic interfaces; Intelligent robots; Minimization methods; Notice of Violation; Pharmaceuticals; Proteins; USA Councils;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Robots and Systems, 2007. IROS 2007. IEEE/RSJ International Conference on
Conference_Location
San Diego, CA
Print_ISBN
978-1-4244-0912-9
Electronic_ISBN
978-1-4244-0912-9
Type
conf
DOI
10.1109/IROS.2007.4398987
Filename
4398987
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