Ultra-fast FFT protein docking on graphics processors
By D. Ritchie, Vishwesh Venkatraman. Bioinform., 2010
372 citations recorded by the source corpus.
Subfields: Biophysics, Computational Theory and Mathematics, Molecular Biology
View Paper: https://www.semanticscholar.org/paper/5885293942bb7cba517704d5c0fbc4199dbe020f
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Biophysics
In Computational Theory and Mathematics
- Brian G. Pierce
- Zhiping Weng
- Jack Adam Tuszynski
- K. Syed
- N. S. Pagadala
- Thom Vreven
- Alexandre M. J. J. Bonvin
- Björn Wallner
In Molecular Biology
- Brian G. Pierce
- Zhiping Weng
- Thom Vreven
- K. Syed
- Jack Adam Tuszynski
- N. S. Pagadala
- Howook Hwang
- K. Wiehe
Citations in the corpus
- ZDOCK server: interactive docking prediction of protein-protein complexes and symmetric multimers (2014, methodology): “To facilitate protein–protein docking prediction, web-based servers have been developed for rigid-body docking (Ritchie and Venkatraman, 2010; Tovchigrechko and Vakser, 2006), flexible docking and refinement (Lyskov and Gray, 2008; Mashiach et al. , 2010; Torchala et al ., 2013), clustering (Comeau…”
- Protein–protein docking by fast generalized Fourier transforms on 5D rotational manifolds (2016, neutral): “In spite of the usefulness of the above algorithm, using FFTs only in translational space has three major limitations.”
- Software for molecular docking: a review (2017, methodology): “…algorithms is further accelerated computationally with the help of advanced software packages, such as the 3D convolution library (Pierce et al. 2011), and new hardware technologies, such as the graphics processing unit (GPU) (Ritchie and Venkatraman 2010) and Cell BE processor (Pons et al. 2012).”