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ClusPro FMFT-SAXS: Ultra-fast Filtering Using Small-Angle X-ray Scattering Data in Protein Docking.
Ignatov, Mikhail; Kazennov, Andrey; Kozakov, Dima.
Affiliation
  • Ignatov M; Department of Applied Mathematics and Statistics, Stony Brook University, 11794 Stony Brook, NY, USA; Laufer Center for Physical and Quantitative Biology, Stony Brook University, 11794 Stony Brook, NY, USA; Institute for Advanced Computational Sciences, Stony Brook University, 11794 Stony Brook, NY, USA.
  • Kazennov A; Moscow Institute of Physics and Technology, 141701 Moscow, Russia.
  • Kozakov D; Department of Applied Mathematics and Statistics, Stony Brook University, 11794 Stony Brook, NY, USA; Laufer Center for Physical and Quantitative Biology, Stony Brook University, 11794 Stony Brook, NY, USA; Institute for Advanced Computational Sciences, Stony Brook University, 11794 Stony Brook, NY, USA. Electronic address: midas@laufercenter.org.
J Mol Biol ; 430(15): 2249-2255, 2018 07 20.
Article in En | MEDLINE | ID: mdl-29626538
We have recently demonstrated that incorporation of small-angle X-ray scattering (SAXS)-based filtering in our heavily used docking server ClusPro improves docking results. However, the filtering step is time consuming, since ≈105 conformations have to be sequentially processed. At the same time, we have demonstrated the possibility of ultra-fast systematic energy evaluation for all rigid body orientations of two proteins, by sampling using Fast Manifold Fourier Transform (FMFT), if energies are represented as a combination of convolution-like expressions. Here we present a novel FMFT-based algorithm FMFT-SAXS for massive SAXS computation on multiple conformations of a protein complex. This algorithm exploits the convolutional form of SAXS calculation function. FMFT-SAXS allows computation of SAXS profiles for millions of conformations in a matter of minutes, providing an opportunity to explore the whole conformational space of two interacting proteins. We demonstrate the application of the new FMFT-SAXS approach to significantly speed up SAXS filtering step in our current docking protocol (1 to 2 orders of magnitude faster, running in several minutes on a modern 16-core CPU) without loss of accuracy. This is demonstrated on the benchmark set as well as on the experimental data. The new approach is available as a part of ClusPro server (https://beta.cluspro.org) and as an open source C library (https://bitbucket.org/abc-group/libfmftsaxs).
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Algorithms / Software / Proteins / Computational Biology / Scattering, Small Angle / Molecular Docking Simulation Language: En Journal: J Mol Biol Year: 2018 Type: Article Affiliation country: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Algorithms / Software / Proteins / Computational Biology / Scattering, Small Angle / Molecular Docking Simulation Language: En Journal: J Mol Biol Year: 2018 Type: Article Affiliation country: United States