@article {2020|2077,
	title = {Visualizing biomolecular electrostatics in virtual reality with UnityMol-APBS.},
	journal = {Protein Sci},
	volume = {29},
	year = {2020},
	month = {2020 Jan},
	pages = {237-246},
	abstract = {<p>Virtual reality is a powerful tool with the ability to immerse a user within a completely external environment. This immersion is particularly useful when visualizing and analyzing interactions between small organic molecules, molecular inorganic complexes, and biomolecular systems such as redox proteins and enzymes. A common tool used in the biomedical community to analyze such interactions is the Adaptive Poisson-Boltzmann Solver (APBS) software, which was developed to solve the equations of continuum electrostatics for large biomolecular assemblages. Numerous applications exist for using APBS in the biomedical community including analysis of protein ligand interactions and APBS has enjoyed widespread adoption throughout the biomedical community. Currently, typical use of the full APBS toolset is completed via the command line followed by visualization using a variety of two-dimensional external molecular visualization software. This process has inherent limitations: visualization of three-dimensional objects using a two-dimensional interface masks important information within the depth component. Herein, we have developed a single application, UnityMol-APBS, that provides a dual experience where users can utilize the full range of the APBS toolset, without the use of a command line interface, by use of a simple graphical user interface (GUI) for either a standard desktop or immersive virtual reality experience.</p>
},
	issn = {1469-896X},
	doi = {10.1002/pro.3773},
	author = {Laureanti, Joseph and Brandi, Juan and Offor, Elvis and Engel, David and Rallo, Robert and Ginovska, Bojana and Martinez, Xavier and Marc Baaden and Baker, Nathan A}
}
@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}
}
