Los Alamos Laboratory O# (O5169)
Use the code in this repository to perform Fast Dynamics Perturbation Analysis (Fast DPA) for prediction of functional sites in proteins.
From the abstract of the 2008 paper:
The original DPA algorithm finds regions in proteins where interactions cause a large change in the protein conformational distribution, as measured using the relative entropy Dx. Such regions are associated with functional sites. The Fast DPA algorithm, which accelerates DPA calculations, is motivated by an empirical observation that Dx in a normal-modes model is highly correlated with an entropic term that only depends on the eigenvalues of the normal modes. The eigenvalues are accurately estimated using first-order perturbation theory, resulting in a N-fold reduction in the overall computational requirements of the algorithm, where N is the number of residues in the protein.
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Ming D, Wall ME. Quantifying allosteric effects in proteins. Proteins. 2005 Jun 1;59(4):697-707. doi: 10.1002/prot.20440. PMID: 15822100.
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Ming D, Wall ME. Interactions in native binding sites cause a large change in protein dynamics. J Mol Biol. 2006 Apr 21;358(1):213-23. doi: 10.1016/j.jmb.2006.01.097. Epub 2006 Feb 14. PMID: 16513135.
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Ming D, Cohn JD, Wall ME. Fast dynamics perturbation analysis for prediction of protein functional sites. BMC Struct Biol. 2008 Jan 30;8:5. doi: 10.1186/1472-6807-8-5. PMID: 18234095; PMCID: PMC2276503.
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Ming D, Wall ME. Allostery in a coarse-grained model of protein dynamics. Phys Rev Lett. 2005 Nov 4;95(19):198103. doi: https://doi.org/10.1103/PhysRevLett.95.198103. Epub 2005 Nov 2. PMID: 16384030.
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Wall ME. Ligand Binding, Protein Fluctuations, and Allosteric Free Energy. arXiv:q-bio/0603027. doi: https://doi.org/10.48550/arXiv.q-bio/0603027
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Verspoor KM, Cohn JD, Ravikumar KE, Wall ME. Text mining improves prediction of protein functional sites. PLoS One. 2012;7(2):e32171. doi: https://doi.org/10.1371/journal.pone.0032171. Epub 2012 Feb 29. PMID: 22393388; PMCID: PMC3290545.
See QUICK_REFERENCE.txt for some information about how to get started
This software is made freely available under an MIT license (see LICENSE file)
- Dengming Ming
- Michael Wall