Literature DB >> 11836222

Concept and prototype of protein-ligand docking simulator with force feedback technology.

Hiroshi Nagata1, Hiroshi Mizushima, Hiroshi Tanaka.   

Abstract

A novel concept for a protein-ligand docking simulator using Virtual Reality (VR) technologies, in particular the tactile sense technology, was designed and a prototype was developed. Most conventional docking simulators are based on numerical differential calculations of the total energy between a protein and a ligand. However, the basic concept of our method differs from that of conventional simulators. Our design utilizes the force between a ligand and a protein instead of the total energy. The most characteristic function of the system is its ability to enable the user to 'touch' and sense the electrostatic potential field of a protein molecule. The user can scan the surface of a protein using a globular probe, which is given an electrostatic charge, and is controlled by a force feedback device. The electrostatic force between the protein and the probe is calculated in real time and immediately fed back into the force feedback device. The user can easily search interactively for positions where the probe is strongly attracted to the force field. Such positions can be regarded as candidate sites where functional groups of ligands corresponding to the probe can bind to the target protein. Certain limitations remain; for example, only twenty protein atoms can be used to generate the electrostatic field. Furthermore, the system can only use globular probes, preventing drug molecules or small chemical groups from being simulated. These limitations are the result of our insufficient computer resources. However, our prototype system has the potential to become a novel application method as well as being applicable to conventional VR technologies, especially to force feedback technologies.

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Year:  2002        PMID: 11836222     DOI: 10.1093/bioinformatics/18.1.140

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  7 in total

1.  Information Visualization Techniques in Bioinformatics during the Postgenomic Era.

Authors:  Ying Tao; Yang Liu; Carol Friedman; Yves A Lussier
Journal:  Drug Discov Today Biosilico       Date:  2004-11

2.  Comparing vasculogenic mimicry with endothelial cell-lined vessels: techniques for 3D reconstruction and quantitative analysis of tissue components from archival paraffin blocks.

Authors:  Amy Y Lin; Zhuming Ai; Sang-Chul Lee; Peter Bajcsy; Jacob Pe'er; Lu Leach; Andrew J Maniotis; Robert Folberg
Journal:  Appl Immunohistochem Mol Morphol       Date:  2007-03

3.  Accessible haptic technology for drug design applications.

Authors:  Nicola Zonta; Ian J Grimstead; Nick J Avis; Andrea Brancale
Journal:  J Mol Model       Date:  2008-12-02       Impact factor: 1.810

4.  Applying forces to elastic network models of large biomolecules using a haptic feedback device.

Authors:  M B Stocks; S D Laycock; S Hayward
Journal:  J Comput Aided Mol Des       Date:  2011-01-15       Impact factor: 3.686

5.  Determination of locked interfaces in biomolecular complexes using Haptimol_RD.

Authors:  Georgios Iakovou; Stephen Laycock; Steven Hayward
Journal:  Biophys Physicobiol       Date:  2016-07-14

6.  Interacting with the biomolecular solvent accessible surface via a haptic feedback device.

Authors:  Matthew B Stocks; Steven Hayward; Stephen D Laycock
Journal:  BMC Struct Biol       Date:  2009-10-27

7.  Binding Direction-Based Two-Dimensional Flattened Contact Area Computing Algorithm for Protein-Protein Interactions.

Authors:  Beom Sik Kang; GaneshKumar Pugalendhi; Ku-Jin Kim
Journal:  Molecules       Date:  2017-10-13       Impact factor: 4.411

  7 in total

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