51
|
van Zundert GCP, Trellet M, Schaarschmidt J, Kurkcuoglu Z, David M, Verlato M, Rosato A, Bonvin AMJJ. The DisVis and PowerFit Web Servers: Explorative and Integrative Modeling of Biomolecular Complexes. J Mol Biol 2016; 429:399-407. [PMID: 27939290 DOI: 10.1016/j.jmb.2016.11.032] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2016] [Revised: 11/29/2016] [Accepted: 11/30/2016] [Indexed: 12/13/2022]
Abstract
Structure determination of complex molecular machines requires a combination of an increasing number of experimental methods with highly specialized software geared toward each data source to properly handle the gathered data. Recently, we introduced the two software packages PowerFit and DisVis. These combine high-resolution structures of atomic subunits with density maps from cryo-electron microscopy or distance restraints, typically acquired by chemical cross-linking coupled with mass spectrometry, respectively. Here, we report on recent advances in both GPGPU-accelerated software packages: PowerFit is a tool for rigid body fitting of atomic structures in cryo-electron density maps and has been updated to also output reliability indicators for the success of fitting, through the use of the Fisher z-transformation and associated confidence intervals; DisVis aims at quantifying the information content of distance restraints and identifying false-positive restraints. We extended its analysis capabilities to include an analysis of putative interface residues and to output an average shape representing the putative location of the ligand. To facilitate their use by a broad community, they have been implemented as web portals harvesting both local CPU resources and GPGPU-accelerated EGI grid resources. They offer user-friendly interfaces, while minimizing computational requirements, and provide a first interactive view of the results. The portals can be accessed freely after registration via http://milou.science.uu.nl/services/DISVIS and http://milou.science.uu.nl/services/POWERFIT.
Collapse
Affiliation(s)
- G C P van Zundert
- Bijvoet Center for Biomolecular Research, Faculty of Science - Chemistry, Utrecht University, Padualaan 8, 3584CH Utrecht, The Netherlands
| | - M Trellet
- Bijvoet Center for Biomolecular Research, Faculty of Science - Chemistry, Utrecht University, Padualaan 8, 3584CH Utrecht, The Netherlands
| | - J Schaarschmidt
- Bijvoet Center for Biomolecular Research, Faculty of Science - Chemistry, Utrecht University, Padualaan 8, 3584CH Utrecht, The Netherlands
| | - Z Kurkcuoglu
- Bijvoet Center for Biomolecular Research, Faculty of Science - Chemistry, Utrecht University, Padualaan 8, 3584CH Utrecht, The Netherlands
| | - M David
- LIP - Laboratório de Instrumentação e Física Experimental de Particulãs, Avenida Elias Garcia 14, 1000 Lisbon, Portugal
| | - M Verlato
- Istituto Nazionale di Fisica Nucleare - Sezione di Padova, Via Marzolo 8, 35131 Padova, Italy
| | - A Rosato
- Magnetic Resonance Center and Department of Chemistry "Ugo Schiff", University of Florence, Via L. Sacconi 6, 50019 Sesto Fiorentino, Italy
| | - A M J J Bonvin
- Bijvoet Center for Biomolecular Research, Faculty of Science - Chemistry, Utrecht University, Padualaan 8, 3584CH Utrecht, The Netherlands.
| |
Collapse
|
52
|
Xia B, Vajda S, Kozakov D. Accounting for pairwise distance restraints in FFT-based protein-protein docking. Bioinformatics 2016; 32:3342-3344. [PMID: 27357172 DOI: 10.1093/bioinformatics/btw306] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2016] [Accepted: 05/09/2016] [Indexed: 11/13/2022] Open
Abstract
ClusPro is a heavily used protein-protein docking server based on the fast Fourier transform (FFT) correlation approach. While FFT enables global docking, accounting for pairwise distance restraints using penalty terms in the scoring function is computationally expensive. We use a different approach and directly select low energy solutions that also satisfy the given restraints. As expected, accounting for restraints generally improves the rank of near native predictions, while retaining or even improving the numerical efficiency of FFT based docking. AVAILABILITY AND IMPLEMENTATION The software is freely available as part of the ClusPro web-based server at http://cluspro.org/nousername.php CONTACT: midas@laufercenter.org or vajda@bu.eduSupplementary information: Supplementary data are available at Bioinformatics online.
Collapse
Affiliation(s)
- Bing Xia
- Department of Biomedical Engineering
| | - Sandor Vajda
- Department of Biomedical Engineering Department of Chemistry, Boston University, Boston, MA 02215, USA
| | - Dima Kozakov
- Department of Applied Mathematics and Statistics Laufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, NY 11794, USA
| |
Collapse
|