YASARA View—molecular graphics for all devices—from smartphones to workstations
By Elmar Krieger, G. Vriend. Bioinform., 2014
1,419 citations recorded by the source corpus.
Summary: Today's graphics processing units (GPUs) compose the scene from individual triangles. As about 320 triangles are needed to approximate a single sphere—an atom—in a convincing way, visualizing larger proteins with atomic details requires tens of millions of triangles, far too many for smooth interactive frame rates. We describe a new approach to solve this ‘molecular graphics problem’, which shares the work between GPU and multiple CPU cores, generates high-quality results with perfectly round spheres, shadows and ambient lighting and requires only OpenGL 1.0 functionality, without any pixel shader Z-buffer access (a feature which is missing in most mobile devices). Availability and implementation: YASARA View, a molecular modeling program built around the visualization algorithm described here, is freely available (including commercial use) for Linux, MacOS, Windows and Android (Intel) from www.YASARA.org. Contact: elmar@yasara.org Supplementary information: Supplementary data are available at Bioinformatics online.
Subfields: Information Systems and Management, Materials Chemistry, Molecular Biology
View Paper: https://www.semanticscholar.org/paper/17f6f5737dd2de3f4876fbc1761e8f549f6c5015
How researchers see this paper
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In Materials Chemistry
- Robbie P. Joosten
- G. Vriend
- Elmar Krieger
- Tim A. H. te Beek
- Anastassis Perrakis
- G. Murshudov
- Mikhail Markovsky
- Sari Sabban
In Molecular Biology
- Robbie P. Joosten
- G. Vriend
- Elmar Krieger
- Tim A. H. te Beek
- Anastassis Perrakis
- G. Murshudov
- Mikhail Markovsky
- Sari Sabban
Citations in the corpus
- A series of PDB-related databanks for everyday needs (2014, background): “All scenes can always be inspected with the freely available molecular graphics program YASARA View (44).”
- A Sequence Homology and Bioinformatic Approach Can Predict Candidate Targets for Immune Responses to SARS-CoV-2 (2020, neutral): “3D-rendering was performed using YASARA (Krieger and Vriend, 2014).”