Dynafold: A Dynamic Programming Approach to Protein Backbone Structure Determination from Minimal Sets of Residual Dipolar Couplings
Residual Dipolar Couplings (RDCs) are a source of NMR data that can provide a powerful set of constraints on the orientation of inter-nuclear vectors, and are quickly becoming a larger part of the experimental toolset for molecular biologists. However, few reliable protocols exist for the determination of protein backbone structures from small sets of RDCs. DynaFold is a new dynamic programming algorithm designed specifically for this task, using minimal sets of RDCs collected in multiple alignment media. DynaFold was first tested utilizing synthetic data generated for the N–H, Cα–Hα, and C–N vectors of 1BRF, 1F53, 110M, and 3LAY proteins, with up to ±1 Hz error in three alignment media, and was able to produce structures with less than 1.9 Å of the original structures. DynaFold was then tested using experimental data, obtained from the Biological Magnetic Resonance Bank, for proteins PDBID:1P7E and 1D3Z using RDC data from two alignment media. This exercise yielded structures within 1.0 Å of their respective published structures in segments with high data density, and less than 1.9 Å over the entire protein. The same sets of RDC data were also used in comparisons with traditional methods for analysis of RDCs, which failed to match the accuracy of DynaFold's approach to structure determination.
Published in Journal of Bioinformatics and Computational Biology, Volume 12, Issue 1, Winter 2014.
© Journal of Bioinformatics and Computational Biology 2014, World Scientific
Mukhopadhyay R., Irausquin S., Schmidt C., & Valafar H. (2014). Dynafold: A Dynamic Programming Approach to Protein Backbone Structure Determination from Minimal Sets of Residual Dipolar Couplings. Journal Of Bioinformatics And Computational Biology, 12(01), 1450002. doi: 10.1142/s0219720014500024