Abstract
This chapter describes accounting for molecular mobility in structure determination based on nuclear magnetic resonance (NMR) spectroscopic and x-ray diffraction data. It discusses procedures to obtain an ideal representation of a biomolecule, with an eye to appropriately accounting for molecular mobility and flexibility. In NMR spectroscopy, the primary measured data are resonance chemical shifts σ and intensities, nuclear Overhauser effect (NOE) intensities INOE, relaxation times T1 and T2, and vicinal J coupling constants or J values. As in X-ray crystallography, these primary data cannot be directly transformed into a molecular structure with mobility. As before, the inverse relations that express the primary measured quantities in terms of a molecular structure or a set of structures must be used to calculate them from an estimated molecular structure, which is improved in an iterative manner by minimizing the difference between the calculated and observed primary data. So, also in this case, both molecular structure and mobility are derived quantities.
| Original language | English |
|---|---|
| Pages (from-to) | 619-654 |
| Number of pages | 36 |
| Journal | Methods in Enzymology |
| Volume | 239 |
| Issue number | C |
| DOIs | |
| Publication status | Published - 1 Jan 1994 |
| Externally published | Yes |
Bibliographical note
Funding Information:This work was supported by the Medical Research Council of the United Kingdom and the British Council for funds under the Alliance scheme. We thank also Dr. T. Frenkiel for helpful discussions and comments on the manuscript.
Funding Information:
Financial support was obtained from the Schweizerischer Nationalfond (project 21-35909.92), and from the Roche Research Foundation, which is gratefully acknowledged.
Funding
This work was supported by the Medical Research Council of the United Kingdom and the British Council for funds under the Alliance scheme. We thank also Dr. T. Frenkiel for helpful discussions and comments on the manuscript. Financial support was obtained from the Schweizerischer Nationalfond (project 21-35909.92), and from the Roche Research Foundation, which is gratefully acknowledged.