Prediction of Functional Sites in SCOP Domains using Dynamics Perturbation Analysis
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- Computer, Computational, and Statistical Sciences Division, Los Alamos National Laboratory, Los Alamos, NM 87545 USA
- Computer, Computational, and Statistical Sciences Division, Los Alamos National Laboratory, Los Alamos, NM 87545 USA; School of Life Sciences, Nanjing University, Nanjing, Jiangsu, 210093, People's Republic of China
- Computer, Computational, and Statistical Sciences Division, Bioscience Division, Center for Non-Linear Studies, Los Alamos National Laboratory, Los Alamos, NM 87545 USA
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- Document Type:
- Manuscript
- Date:
- Received 19 August 2008 22:16 UTC; Posted 21 August 2008
- Subjects:
- Bioinformatics
- Abstract:
Dynamics perturbation analysis (DPA) finds regions in a protein structure where proteins are “ticklish”, i.e., where interactions cause a large change in protein dynamics. Previously, such regions were shown to predict the location of native binding sites in a docking test set, but the more general applicability of DPA to the prediction of functional sites in proteins was not shown. Here we describe the results of applying an accelerated algorithm, called Fast DPA, to predict functional sites in over 50,000 SCOP domains.
- Collection:
- AFP-Biosapiens 2008
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- License:
- This document is licensed to the public under the Creative Commons Attribution 3.0 License
- How to cite this document:
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Cohn, Judith, Ming, Dengming, and Wall, Michael. Prediction of Functional Sites in SCOP Domains using Dynamics Perturbation Analysis. Available from Nature Precedings <http://dx.doi.org/10.1038/npre.2008.2209.1> (2008)
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