QuickSES: A Library for Fast Computation of Solvent Excluded Surfaces (Unknown language)

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Recently, several fast methods to compute Solvent Excluded Surfaces (SES) on GPUs have been presented. While these published methods reportedly yield interesting and useful results, up to now no public, freely accessible implementation of a fast and opensource SES mesh computation method that runs on GPUs is available. Most molecular viewers, therefore, still use legacy CPU methods that run only on a single core, without GPU acceleration. In this paper, we present an in-depth explanation and a fully open-source CUDA implementation of the fast, grid-based computation method proposed by Hermosilla et al. [HKG*17]. Our library called QuickSES runs on GPUs and is distributed with a permissive license. It comes with a standalone program that reads Protein Data Bank (PDB) files and outputs a complete SES mesh as a Wavefront OBJ file. Alternatively it can directly be integrated in classical molecular viewers as shared library. We demonstrate the low memory consumption to enable execution on lower-end GPUs, and compare the runtime speed-up to available state-of-the-art tools.

Table of contents conference proceedings

The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.

1
A Massively Parallel CUDA Algorithm to Compute and Visualize the Solvent Excluded Surface for Dynamic Molecular Data
Schäfer, Marco / Krone, Michael | 2019
11
QuickSES: A Library for Fast Computation of Solvent Excluded Surfaces
Martinez, Xavier / Krone, Michael / Baaden, Marc | 2019
17
MolFind - Integrated Multi-Selection Schemes for Complex Molecular Structures
Skånberg, Robin / Linares, Mathieu / Falk, Martin / Hotz, Ingrid / Ynnerman, Anders | 2019
23
PBmapclust: Mapping and Clustering the Protein Conformational Space Using a Structural Alphabet
Vetrivel, Iyanar / Hoffmann, Lionel / Guegan, Sean / Offmann, Bernard / Laurent, Adele D. | 2019
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