EzMol: A web server wizard for the rapid visualisation and image production of protein and nucleic acid structures

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Title: EzMol: A web server wizard for the rapid visualisation and image production of protein and nucleic acid structures
Author(s): Reynolds, CR
Islam, S
Sternberg, MJE
Item Type: Journal Article
Abstract: EzMol is a molecular visualization Web server in the form of a software wizard, located at http://www.sbg.bio.ic.ac.uk/ezmol/. It is designed for easy and rapid image manipulation and display of protein molecules, and is intended for users who need to quickly produce high-resolution images of protein molecules but do not have the time or inclination to use a software molecular visualization system. EzMol allows the upload of molecular structure files in PDB format to generate a Web page including a representation of the structure that the user can manipulate. EzMol provides intuitive options for chain display, adjusting the color/transparency of residues, side chains and protein surfaces, and for adding labels to residues. The final adjusted protein image can then be downloaded as a high-resolution image. There are a range of applications for rapid protein display, including the illustration of specific areas of a protein structure and the rapid prototyping of images.
Publication Date: 20-Jul-2018
Date of Acceptance: 22-Jan-2018
URI: http://hdl.handle.net/10044/1/56880
DOI: https://dx.doi.org/10.1016/j.jmb.2018.01.013
ISSN: 0022-2836
Publisher: Elsevier
Start Page: 2244
End Page: 2248
Journal / Book Title: Journal of Molecular Biology
Volume: 430
Issue: 15
Copyright Statement: © 2018 The Author. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/)
Sponsor/Funder: Wellcome Trust
Biotechnology and Biological Sciences Research Council (BBSRC)
Funder's Grant Number: WT/104955/Z/14/Z
Keywords: EzMol
molecular viewer
0601 Biochemistry And Cell Biology
Biochemistry & Molecular Biology
Publication Status: Published
Online Publication Date: 2018-01-31
Appears in Collections:Faculty of Natural Sciences

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