Assignment of Backbone Resonances from Minimal NMR Data Using Connectivity
Document Type
Article
Abstract
A program is presented which will return the most probable sequence location for a short connected set of residues in a protein given just (13)C(alpha) chemical shifts (delta((13)C(alpha))) and data restricting the phi and psi backbone angles. Data taken from both the BioMagResBank and the Protein Data Bank were used to create a probability density function (PDF) using a multivariate normal distribution in delta((13)C(alpha)), phi, and psi space for each amino acid residue. Extracting and combining probabilities for particular amino acid residues in a short proposed sequence yields a score indicative of the correctness of the proposed assignment. The program is illustrated using several proteins for which structure and (13)C(alpha) chemical shift data are available.
Publication Info
Published in Journal of Biomolecular NMR, Volume 29, Issue 1, Summer 2004, pages 1-9.
©Journal of Biomolecular NMR 2004, Elsevier
Morris, L., Valafar, H., & Prestegard, J. (2004). Assignment of protein backbone resonances using connectivity, torsion angles and13Cαchemical shifts. Journal Of Biomolecular NMR, 29(1), 1-9. doi: 10.1023/b:jnmr.0000019500.76436.31
Rights
©Journal of Biomolecular NMR 2004, Elsevier
Morris, L., Valafar, H., & Prestegard, J. (2004). Assignment of protein backbone resonances using connectivity, torsion angles and13Cαchemical shifts. Journal Of Biomolecular NMR, 29(1), 1-9. doi: 10.1023/b:jnmr.0000019500.76436.31