ProFeel: low cost visual-haptic perceptualization of protein structure-structure alignments.
Identifieur interne : 001E34 ( PubMed/Corpus ); précédent : 001E33; suivant : 001E35ProFeel: low cost visual-haptic perceptualization of protein structure-structure alignments.
Auteurs : M D Hansen ; S. Lodha ; A. PangSource :
- Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing [ 2335-6936 ] ; 2000.
English descriptors
- KwdEn :
- MESH :
- chemical , chemistry : Proteins.
- statistics & numerical data : Sequence Alignment.
- Computer Graphics, Databases, Factual, Models, Molecular, Software, User-Computer Interface.
Abstract
We describe ProFeel, an application for exploring molecular data from protein structure-structure alignments using a force-feedback joystick. Protein structure analysis is a useful application for multimodal information perceptualization because researchers in this area typically use several independent measures in assessment. A system that allows the user to simultaneously evaluate different criteria would therefore be quite useful. Four variables are assigned three different haptic effects each to allow the user to discern twelve separate data values. The haptic representation is coupled with a traditional molecular graphics visual display.
PubMed: 10902171
Links to Exploration step
pubmed:10902171Le document en format XML
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Pang</name></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2000">2000</date><idno type="RBID">pubmed:10902171</idno><idno type="pmid">10902171</idno><idno type="wicri:Area/PubMed/Corpus">001E34</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">ProFeel: low cost visual-haptic perceptualization of protein structure-structure alignments.</title><author><name sortKey="Hansen, M D" sort="Hansen, M D" uniqKey="Hansen M" first="M D" last="Hansen">M D Hansen</name><affiliation><nlm:affiliation>Computer Science Department, University of California 95064, USA. mhansen@cse.ucsc.edu</nlm:affiliation></affiliation></author><author><name sortKey="Lodha, S" sort="Lodha, S" uniqKey="Lodha S" first="S" last="Lodha">S. Lodha</name></author><author><name sortKey="Pang, A" sort="Pang, A" uniqKey="Pang A" first="A" last="Pang">A. Pang</name></author></analytic><series><title level="j">Pacific Symposium on Biocomputing. 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Protein structure analysis is a useful application for multimodal information perceptualization because researchers in this area typically use several independent measures in assessment. A system that allows the user to simultaneously evaluate different criteria would therefore be quite useful. Four variables are assigned three different haptic effects each to allow the user to discern twelve separate data values. 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