Literature DB >> 12761052

FPV: fast protein visualization using Java 3D.

Tolga Can1, Yujun Wang, Yuan-Fang Wang, Jianwen Su.   

Abstract

MOTIVATION: Many tools have been developed to visualize protein structures. Tools that have been based on Java 3D((TM)) are compatible among different systems and they can be run remotely through web browsers. However, using Java 3D for visualization has some performance issues with it. The primary concerns about molecular visualization tools based on Java 3D are in their being slow in terms of interaction speed and in their inability to load large molecules. This behavior is especially apparent when the number of atoms to be displayed is huge, or when several proteins are to be displayed simultaneously for comparison.
RESULTS: In this paper we present techniques for organizing a Java 3D scene graph to tackle these problems. We have developed a protein visualization system based on Java 3D and these techniques. We demonstrate the effectiveness of the proposed method by comparing the visualization component of our system with two other Java 3D based molecular visualization tools. In particular, for van der Waals display mode, with the efficient organization of the scene graph, we could achieve up to eight times improvement in rendering speed and could load molecules three times as large as the previous systems could. AVAILABILITY: EPV is freely available with source code at the following URL: http://www.cs.ucsb.edu/~tcan/fpv/

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Year:  2003        PMID: 12761052     DOI: 10.1093/bioinformatics/btg104

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


  5 in total

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3.  MassSorter: a tool for administrating and analyzing data from mass spectrometry experiments on proteins with known amino acid sequences.

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Journal:  BMC Bioinformatics       Date:  2005-02-06       Impact factor: 3.169

5.  Virtual reality for the observation of oncology models (VROOM): immersive analytics for oncology patient cohorts.

Authors:  Chng Wei Lau; Zhonglin Qu; Daniel Draper; Rosa Quan; Ali Braytee; Andrew Bluff; Dongmo Zhang; Andrew Johnston; Paul J Kennedy; Simeon Simoff; Quang Vinh Nguyen; Daniel Catchpoole
Journal:  Sci Rep       Date:  2022-07-05       Impact factor: 4.996

  5 in total

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