@article {2020|2074,
	title = {Visualizing protein structures - tools and trends.},
	journal = {Biochem Soc Trans},
	year = {2020},
	month = {2020 Mar 20},
	abstract = {<p>Molecular visualization is fundamental in the current scientific literature, textbooks and dissemination materials. It provides an essential support for presenting results, reasoning on and formulating hypotheses related to molecular structure. Tools for visual exploration of structural data have become easily accessible on a broad variety of platforms thanks to advanced software tools that render a great service to the scientific community. These tools are often developed across disciplines bridging computer science, biology and chemistry. This mini-review was written as a short and compact overview for scientists who need to visualize protein structures and want to make an informed decision which tool they should use. Here, we first describe a few \&$\#$39;Swiss Army knives\&$\#$39; geared towards protein visualization for everyday use with an existing large user base, then focus on more specialized tools for peculiar needs that are not yet as broadly known. Our selection is by no means exhaustive, but reflects a diverse snapshot of scenarios that we consider informative for the reader. We end with an account of future trends and perspectives.</p>
},
	issn = {1470-8752},
	doi = {10.1042/BST20190621},
	author = {Martinez, Xavier and Chavent, Matthieu and Marc Baaden}
}
@article {2019|2079,
	title = {Molecular Graphics: Bridging Structural Biologists and Computer Scientists.},
	journal = {Structure},
	volume = {27},
	year = {2019},
	month = {2019 11 05},
	pages = {1617-1623},
	abstract = {<p>Visualization of molecular structures is one of the most common tasks carried out by structural biologists, typically using software, such as Chimera, COOT, PyMOL, or VMD. In this Perspective article, we outline how past developments in computer graphics and data visualization have expanded the understanding of biomolecular function, and we summarize recent advances that promise to further transform structural biology. We also highlight how progress in molecular graphics has been impeded by communication barriers between two communities: the computer scientists driving these advances, and the structural and computational biologists who stand to benefit. By pointing to canonical papers and explaining technical progress underlying new graphical developments in simple terms, we aim to improve communication between these communities; this, in turn, would help shape future developments in molecular graphics.</p>
},
	issn = {1878-4186},
	doi = {10.1016/j.str.2019.09.001},
	author = {Martinez, Xavier and Krone, Michael and Alharbi, Naif and Rose, Alexander S and Laramee, Robert S and O{\textquoteright}Donoghue, Sean and Marc Baaden and Chavent, Matthieu}
}
@conference {2017|2101,
	title = {Molecular Visualization of Computational Biology Data: A Survey of Surveys},
	booktitle = {EuroVis 2017 - Short Papers},
	year = {2017},
	publisher = {The Eurographics Association},
	organization = {The Eurographics Association},
	isbn = {978-3-03868-043-7},
	doi = {10.2312/eurovisshort.20171146},
	author = {Alharbi, Naif and Alharbi, Mohammad and Martinez, Xavier and Krone, Michael and Rose, Alexander S. and Marc Baaden and Laramee, Robert S. and Chavent, Matthieu},
	editor = {Barbora Kozlikova and Tobias Schreck and Thomas Wischgoll}
}
