How accurately can oligonucleotide structures be determined from the hybrid relaxation rate matrix/NOESY distance restrained molecular dynamics approach?
| Autor: | Kumaralal Kaluarachchi, David G. Gorenstein, Robert P. Meadows |
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| Rok vydání: | 1991 |
| Předmět: |
Models
Molecular Accuracy and precision Magnetic Resonance Spectroscopy Molecular model Base Sequence Chemistry Molecular Sequence Data Nucleic Acid Heteroduplexes Oligonucleotides Pulse sequence Nuclear Overhauser effect Biochemistry Molecular dynamics Structure-Activity Relationship Computational chemistry Nucleic Acid Conformation A-DNA Matrix analysis Biological system Two-dimensional nuclear magnetic resonance spectroscopy |
| Zdroj: | Biochemistry. 30(36) |
| ISSN: | 0006-2960 |
| Popis: | The accuracy and precision of structures derived from a combined hybrid relaxation rate matrix/NOESY distance restrained molecular dynamics methodology were examined with simulations that included typical experimental errors. NOESY data were simulated for a DNA dodecamer duplex, d-(CGCGAATTCGCG)2, with added volume error of approximately 20% and low-level thermal noise. Distances derived from a hybrid relaxation matrix analysis of the NOE data were used as constraints in molecular dynamics driven structural refinements of several initial model geometries. The final structures were compared against results obtained from the traditional isolated two-spin approximation treatment of these NOESY volumes and also against refined structures that employed error-free data. Results show that the structures derived from the relaxation rate matrix analysis of the NOESY data are more accurate than those derived from a simple two-spin approximation analysis and it is possible to achieve refinement to the level of simulated experimental error. Results may be significantly improved with the use of either more accurately measured NOESY volumes or additional matrix-derived constraints. Many of the helical parameters and backbone torsional angles may be accurately reproduced by the hybrid matrix methodology. |
| Databáze: | OpenAIRE |
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