Acyl carrier proteins (ACPs) from spinach and from Escherichia coli have been used to demonstrate the utility of proton NMR for comparison of homologous structures. The structure of E. coli ACP had been previously determined and modeled as a rapid equilibrium among multiple conformational forms (Kim
Refinement of the NMR structures for acyl carrier protein with scalar coupling data
β Scribed by Yangmee Kim; Dr. James H. Prestegard
- Publisher
- John Wiley and Sons
- Year
- 1990
- Tongue
- English
- Weight
- 778 KB
- Volume
- 8
- Category
- Article
- ISSN
- 0887-3585
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β¦ Synopsis
Abstract
Structure determination of small proteins using NMR data is most commonly pursued by combining NOE derived distance constraints with inherent constraints based on chemical bonding. Ideally, one would make use of a variety of experimental observation, not just distance constraints. Here, coupling constant constraints have been added to molecular mechanics and molecular dynamics protocols for structure determination in the form of a psuedoenergy function that is minimized in a search for an optimum molecular conformation. Application is made to refinement of a structure for a 77 amino acid protein involved in fatty acid synthesis, Escherichia coli acyl carrier protein (ACP). 54 ^3^J~HNΞ±~ coupling constants, 12 coupling constants for stereospecifically assigned side chain protons, and 450 NOE distance contraints were used to calculate the 3βD structure of ACP. A threeβstep protocol for a molecular dynamics calculation is described, in analogy to the protocol previously used in molecular mechanics calculations. The structures calculated with the molecular mechanics approach and the molecular dynamics apporach using a rigid model for the protein show similar molecular energies and similar agreement with experimental distance and coupling constant constraints. The molecular dynamics approach shows some advantage in overcoming local minimum problems, but only when a twoβstate averaging model for the protein was used, did molecular energies drop significantly.
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