2018
DOI: 10.1109/mcg.2018.2877076
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CellPAINT: Interactive Illustration of Dynamic Mesoscale Cellular Environments

Abstract: Integrative computational modeling is currently the method of choice for studying the detailed mesoscale molecular structure of cellular environments. However, current methods are highly compute intensive and require extensive and diverse domain knowledge. We have developed an interactive mesoscale illustration method, cellPAINT, that allows non-expert users to create mesoscale models that integrate a variety of biological data. CellPAINT uses the approach of popular digital painting software, providing users … Show more

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Cited by 33 publications
(31 citation statements)
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“…Whereas the overwhelming part of protein visualization so far may have focused on displaying existing models, the future may focus more intensely on methods to visually create complex molecular landscapes from scratch. Novel technology may be instrumental to this task [70][71][72][73].…”
Section: Future Trends?mentioning
confidence: 99%
“…Whereas the overwhelming part of protein visualization so far may have focused on displaying existing models, the future may focus more intensely on methods to visually create complex molecular landscapes from scratch. Novel technology may be instrumental to this task [70][71][72][73].…”
Section: Future Trends?mentioning
confidence: 99%
“…In addition, we included miRNA in an argonaute2-miRNA complex, since there is some controversy about presence of miRNA in plasma (Gallo et al 2012, Arroyo et al 2011. Structures for blood plasma components were based on previous work with cellPAINT (Gardner et al 2018) and low density lipoprotein structure was based on a cryo-electron study (entry EMD-5239 at http://www.emdatabank.org).…”
Section: Blood Plasma Proteinsmentioning
confidence: 99%
“…In the current work, the abundance of mRNA and miRNA was arbitrarily set to the average value of the soluble proteins and one DNA strand was included per vesicle. Similarly to previous work (Gardner et al 2018), concentrations of blood plasma components were based on proteomic studies (Chan et al 2004).…”
Section: Concentrationsmentioning
confidence: 99%
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