iCn3D, a web-based 3D viewer for sharing 1D/2D/3D representations of biomolecular structures

被引:105
|
作者
Wang, Jiyao [1 ]
Youkharibache, Philippe [1 ,2 ]
Zhang, Dachuan [1 ]
Lanczycki, Christopher J. [1 ]
Geer, Renata C. [1 ]
Madej, Thomas [1 ,2 ]
Phan, Lon [1 ]
Ward, Minghong [1 ]
Lu, Shennan [1 ]
Marchler, Gabriele H. [1 ]
Wang, Yanli [1 ]
Bryant, Stephen H. [1 ]
Geer, Lewis Y. [1 ]
Marchler-Bauer, Aron [1 ]
机构
[1] Natl Lib Med, Natl Ctr Biotechnol Informat, Bethesda, MD 20894 USA
[2] NCI, NIH, Bethesda, MD 20894 USA
基金
美国国家卫生研究院;
关键词
VISUALIZATION; DATABASE;
D O I
10.1093/bioinformatics/btz502
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Motivation Build a web-based 3D molecular structure viewer focusing on interactive structural analysis. Results iCn3D (I-see-in-3D) can simultaneously show 3D structure, 2D molecular contacts and 1D protein and nucleotide sequences through an integrated sequence/annotation browser. Pre-defined and arbitrary molecular features can be selected in any of the 1D/2D/3D windows as sets of residues and these selections are synchronized dynamically in all displays. Biological annotations such as protein domains, single nucleotide variations, etc. can be shown as tracks in the 1D sequence/annotation browser. These customized displays can be shared with colleagues or publishers via a simple URL. iCn3D can display structure-structure alignments obtained from NCBI's VAST+ service. It can also display the alignment of a sequence with a structure as identified by BLAST, and thus relate 3D structure to a large fraction of all known proteins. iCn3D can also display electron density maps or electron microscopy (EM) density maps, and export files for 3D printing. The following example URL exemplifies some of the 1D/2D/3D representations: https://www.ncbi.nlm.nih.gov/Structure/icn3d/full.html?mmdbid=1TUP&showanno=1&show2d=1&showsets=1. Availability and implementation iCn3D is freely available to the public. Its source code is available at https://github.com/ncbi/icn3d. Supplementary information Supplementary data are available at Bioinformatics online.
引用
收藏
页码:131 / 135
页数:5
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