2020
DOI: 10.1101/2020.09.22.308593
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Structural biologists, let’s mind our colors

Abstract: In structural biology, most figures of macromolecules are aimed at those well-versed in structure, requiring prior familiarity with scales and commonly used color schemes. Yet, as structural biology becomes democratized with the increasing pace of structure determination, the accessibility of structural data is paramount. Here, we identify three keys, and have written accompanying software plugins, for structural biologists to create figures truer to the hard-won data and clearer across different modes of colo… Show more

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Cited by 4 publications
(2 citation statements)
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“…Ab initio structure prediction was employed for other STI1‐domains using RobettaTR (transform restrained) 93 with the full‐length protein sequences of each protein, with the specific STI1 region of interest visualized. Images were rendered using PyMOL 2.4 (http://www.pymol.org) with a viridis coloring scheme 94 . Helical wheel diagrams were rendered in R using a fork (https://github.com/smsaladi/heliquest) of the HELIQUEST source code 95 …”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…Ab initio structure prediction was employed for other STI1‐domains using RobettaTR (transform restrained) 93 with the full‐length protein sequences of each protein, with the specific STI1 region of interest visualized. Images were rendered using PyMOL 2.4 (http://www.pymol.org) with a viridis coloring scheme 94 . Helical wheel diagrams were rendered in R using a fork (https://github.com/smsaladi/heliquest) of the HELIQUEST source code 95 …”
Section: Methodsmentioning
confidence: 99%
“…Images were rendered using PyMOL 2.4 (www.pymol.org) with a viridis coloring scheme. 94 Helical wheel diagrams were rendered in R using a fork (https://github.com/smsaladi/heliquest) of the HELIQUEST source code. 95…”
Section: Molecular Visualizationmentioning
confidence: 99%