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

dc.contributor.authorWang, Jiyao
dc.contributor.authorYoukharibache, Philippe
dc.contributor.authorMarchler-Bauer, Aron
dc.contributor.authorLanczycki, Christopher
dc.contributor.authorZhang, Dachuan
dc.contributor.authorLu, Shennan
dc.contributor.authorMadej, Thomas
dc.contributor.authorMarchler, Gabriele H.
dc.contributor.authorCheng, Tiejun
dc.contributor.authorChong, Li Chuin
dc.contributor.authorZhao, Sarah
dc.contributor.authorYang, Kevin
dc.contributor.authorLin, Jack
dc.contributor.authorCheng, Zhiyu
dc.contributor.authorDunn, Rachel
dc.contributor.authorMalkaram, Sridhar Acharya
dc.contributor.authorTai, Chin-Hsien
dc.contributor.authorEnoma, David
dc.contributor.authorBusby, Ben
dc.contributor.authorJohnson, Nicholas L.
dc.contributor.authorTabaro, Francesco
dc.contributor.authorSong, Guangfeng
dc.contributor.authorGe, Yuchen
dc.date.accessioned2022-05-03T20:59:16Z
dc.date.available2022-05-03T20:59:16Z
dc.date.issued2022-02-01T00:00:00Z
dc.description.abstractiCn3D 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 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 . 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.
dc.identifier.doi10.3389/fmolb.2022.831740
dc.identifier.pubmed35252351
dc.identifier.scopus85125718527
dc.identifier.urihttp://hdl.handle.net/20.500.12645/30561
dc.identifier.wosWOS:000784230600001
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subject3d viewer
dc.subjectNode.js script
dc.subjectPython script
dc.subjectbatch mode
dc.subjectdelphi
dc.subjectiCn3D
dc.subjectstructural analysis
dc.subjectweb-based
dc.titleiCn3D: From Web-Based 3D Viewer to Structural Analysis Tool in Batch Mode
dc.typeArticle
dspace.entity.typePublication
local.avesis.idc4f0ad99-066e-4b4b-a4f9-ce6df539bc79
local.publication.isinternational1

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