Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11861/7496
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dc.contributor.authorLi, Hongjianen_US
dc.contributor.authorProf. LEUNG Kwong Saken_US
dc.contributor.authorNakane, Takanorien_US
dc.contributor.authorWong , Man-Honen_US
dc.date.accessioned2023-03-16T03:17:08Z-
dc.date.available2023-03-16T03:17:08Z-
dc.date.issued2014-
dc.identifier.citationBMC Bioinformatics , 2014, vol. 15 (56)en_US
dc.identifier.urihttp://hdl.handle.net/20.500.11861/7496-
dc.description.abstractBackground Visualization of protein-ligand complex plays an important role in elaborating protein-ligand interactions and aiding novel drug design. Most existing web visualizers either rely on slow software rendering, or lack virtual reality support. The vital feature of macromolecular surface construction is also unavailable. Results We have developed iview, an easy-to-use interactive WebGL visualizer of protein-ligand complex. It exploits hardware acceleration rather than software rendering. It features three special effects in virtual reality settings, namely anaglyph, parallax barrier and oculus rift, resulting in visually appealing identification of intermolecular interactions. It supports four surface representations including Van der Waals surface, solvent excluded surface, solvent accessible surface and molecular surface. Moreover, based on the feature-rich version of iview, we have also developed a neat and tailor-made version specifically for our istar web platform for protein-ligand docking purpose. This demonstrates the excellent portability of iview. Conclusions Using innovative 3D techniques, we provide a user friendly visualizer that is not intended to compete with professional visualizers, but to enable easy accessibility and platform independence.en_US
dc.language.isoenen_US
dc.relation.ispartofBMC Bioinformaticsen_US
dc.titleiview: an interactive WebGL visualizer for protein-ligand complexen_US
dc.typePeer Reviewed Journal Articleen_US
dc.identifier.doi10.1186/1471-2105-15-56-
item.fulltextNo Fulltext-
crisitem.author.deptDepartment of Applied Data Science-
Appears in Collections:Applied Data Science - Publication
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