iCn3D: From Web-Based 3D Viewer to Structural Analysis Tool in Batch Mode

Jiyao Wang(National Institutes of Health), Philippe Youkharibache(National Institutes of Health), Aron Marchler‐Bauer(National Institutes of Health), Christopher J. Lanczycki(National Institutes of Health), Dachuan Zhang(National Institutes of Health), Shennan Lu(National Institutes of Health), Thomas Madej(National Institutes of Health), Gabriele H. Marchler(National Institutes of Health), Tiejun Cheng(National Institutes of Health), Li Chuin Chong(Bezmiâlem Vakıf Üniversitesi), Sarah Zhao, Kevin Yang(University of Maryland, College Park), Jack J. Lin(University of Washington Tacoma), Zhiyu Cheng(University of California, Irvine), Rachel Dunn(University of British Columbia), Sridhar Acharya Malkaram(West Virginia State University), Chin‐Hsien Tai(National Institutes of Health), David Enoma, Ben Busby(DNAnexus (United States)), Nicholas L. Johnson(National Institutes of Health), Francesco Tabaro(European Molecular Biology Laboratory), Guangfeng Song(National Institutes of Health), Yuchen Ge(Johns Hopkins University)
Frontiers in Molecular Biosciences
February 17, 2022
Cited by 65Open Access
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Abstract

iCn3D was initially developed as a web-based 3D molecular viewer. It then evolved from visualization into a full-featured interactive structural analysis software. It became a collaborative research instrument through the sharing of permanent, shortened URLs that encapsulate not only annotated visual molecular scenes, but also all underlying data and analysis scripts in a FAIR manner. More recently, with the growth of structural databases, the need to analyze large structural datasets systematically led us to use Python scripts and convert the code to be used in Node. js scripts. We showed a few examples of Python scripts at https://github.com/ncbi/icn3d/tree/master/icn3dpython to export secondary structures or PNG images from iCn3D. Users just need to replace the URL in the Python scripts to export other annotations from iCn3D. Furthermore, any interactive iCn3D feature can be converted into a Node. js script to be run in batch mode, enabling an interactive analysis performed on one or a handful of protein complexes to be scaled up to analysis features of large ensembles of structures. Currently available Node. js analysis scripts examples are available at https://github.com/ncbi/icn3d/tree/master/icn3dnode . This development will enable ensemble analyses on growing structural databases such as AlphaFold or RoseTTAFold on one hand and Electron Microscopy on the other. In this paper, we also review new features such as DelPhi electrostatic potential, 3D view of mutations, alignment of multiple chains, assembly of multiple structures by realignment, dynamic symmetry calculation, 2D cartoons at different levels, interactive contact maps, and use of iCn3D in Jupyter Notebook as described at https://pypi.org/project/icn3dpy .


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