title: Estimation of relative order tensors, and reconstruction of vectors in space using unassigned RDC data and its application.
abstract: Advances in NMR instrumentation and pulse sequence design have resulted in easier acquisition of Residual Dipolar Coupling (RDC) data. However, computational and theoretical analysis of this type of data has continued to challenge the international community of investigators because of their complexity and rich information content. Contemporary use of RDC data has required a-priori assignment, which significantly increases the overall cost of structural analysis. This article introduces a novel algorithm that utilizes unassigned RDC data acquired from multiple alignment media (nD-RDC, n3) for simultaneous extraction of the relative order tensor matrices and reconstruction of the interacting vectors in space. Estimation of the relative order tensors and reconstruction of the interacting vectors can be invaluable in a number of endeavors. An example application has been presented where the reconstructed vectors have been used to quantify the fitness of a template protein structure to the unknown protein structure. This work has other important direct applications such as verification of the novelty of an unknown protein and validation of the accuracy of an available protein structure model in drug design. More importantly, the presented work has the potential to bridge the gap between experimental and computational methods of structure determination.
authors.affiliation: Computer Science and Engineering, Swearingen Engineering Center, University of South Carolina, Columbia, SC 29308, USA.
authors.forename: Xijiang
authors.initials: X
authors.lastname: Miao
authors.forename: Rishi
authors.initials: R
authors.lastname: Mukhopadhyay
authors.forename: Homayoun
authors.initials: H
authors.lastname: Valafar
mesh_terms: D000465:Algorithms; D003198:Computer Simulation; D009682:Magnetic Resonance Spectroscopy / Q000379:methods*; D008956:Models, Chemical