| Literature DB >> 26189444 |
Yingssu Tsai1, Thomas Holton2, Todd O Yeates1,2.
Abstract
Important three-dimensional spatial features such as depth and surface concavity can be difficult to convey clearly in the context of two-dimensional images. In the area of macromolecular visualization, the computer graphics technique of ray-tracing can be helpful, but further techniques for emphasizing surface concavity can give clearer perceptions of depth. The notion of diffusion accessibility is well-suited for emphasizing such features of macromolecular surfaces, but a method for calculating diffusion accessibility has not been made widely available. Here we make available a web-based platform that performs the necessary calculation by solving the Laplace equation for steady state diffusion, and produces scripts for visualization that emphasize surface depth by coloring according to diffusion accessibility. The URL is http://services.mbi.ucla.edu/DiffAcc/.Keywords: Laplace; Poisson-Boltzmann; binding sites; computer graphics; protein surfaces; surface curvature
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Year: 2015 PMID: 26189444 PMCID: PMC4594669 DOI: 10.1002/pro.2752
Source DB: PubMed Journal: Protein Sci ISSN: 0961-8368 Impact factor: 6.725