Titlebook: Computational Aspects of the Study of Biological Macromolecules by Nuclear Magnetic Resonance Spectr; Jeffrey C. Hoch,Flemming M. Poulsen,

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Compatriot

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Structural Synthesis of Parallel Robotsnt digital resolution, and, in more severe cases, to fundamental ambiguities in multiplet patterns. In this paper, we discuss various strategies involving selective two-dimensional experiments that are designed to circumvent these limitations and lift ambiguities.

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殺菌劑

Structural Synthesis of Parallel Robotsomolecules such as proteins in solution. The primary evaluation of the spectroscopic data is very time-consuming and complicated, therefore computer assistance grows more and more important. It is not surprising that a number of groups work in the field of pattern recognition in .-dimensional NMR sp

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Solid Mechanics and Its Applicationsg of multi-dimensional data including the ability to extrapolate the time domain data with linear prediction. Predicting several additional time domain points can significantly improve the data of multi-dimensional NMR experiments where one of the dimensions is undersampled due to accumulation time

DAUNT

Structural Synthesis of Parallel Robotsr method, the variable target function method in torsion angle space, has been frequently used in the determination of polypeptide and protein structures. This method can be efficiently vectorized on a supercomputer. With the improved program, DIANA, sampling and convergence properties of this metho

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Structural Synthesis of Parallel Robotsr assigning resonances to individual spins are being automated in various places. There is general agreement how NMR parameters like initial NOE build-up rates and J couplings must be translated into interatomic distances and dihedral angles. However, there is no consensus yet about the way such par