PreprintCited by 65Protein Structure and DynamicsEnzyme Structure and FunctionScientific Computing and Data Management

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

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Preprint — published as 10.3389/fmolb.2022.831740 · Paper page

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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Research works printed but not linked: 12

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Metadata

Authors
Wang, J., Youkharibache, P., Marchler-Bauer, A., Lanczycki, C., Zhang, D., Lu, S., Madej, T., Marchler, G. H., Cheng, T., Chong, L. C., Zhao, S., Yang, K., Lin, J., Cheng, Z., Dunn, R., Malkaram, S. A., Tai, C.-H., Enoma, D., Busby, B., Johnson, N. L., Tabaro, F., Song, G., & Ge, Y.
Affiliations
  • National Institutes of Health (US)
  • Bezmiâlem Vakıf Üniversitesi (TR)
  • University of Maryland, College Park (US)
  • University of Washington Tacoma (US)
  • University of California, Irvine (US)
  • University of British Columbia (CA)
  • DNAnexus (United States) (US)
  • European Molecular Biology Laboratory (IT)
  • Johns Hopkins University (US)
Corresponding author
Wang, Jiyao
Venue
Frontiers in Molecular Biosciences
Publisher
openRxiv
Published
2021-09-11
Volume
9
Pages
831740-831740
ISSN
2296-889X (ISSN-L)
OpenAlex
W4213199337
Cited by
65
References
1
Citations by year
2026: 8 · 2025: 16 · 2024: 21 · 2023: 17 · 2022: 3
FWCI
4.71
Type
journal article
Language
en
Open access
Licence
cc-by
Locations
  • Frontiers in Molecular Biosciences (publishedVersion, cc-by)
  • bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, other-oa)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
  • National Institutes of Health
  • U.S. National Library of Medicine
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Structure and Dynamics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Structural Biology › Enzyme Structure and Function
  • Social Sciences › Decision Sciences › Information Systems and Management › Scientific Computing and Data Management
Keywords
3D molecular visualization, protein structure analysis, Node.js, Python script, FAIR data sharing, structural ensembles, AlphaFold, RoseTTAFold, electrostatic potential, Delphi, dynamical symmetry, contact maps, Jupyter notebooks

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