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. 1999 Sep;15(1):15-26.
doi: 10.1023/a:1008338605320.

RESCUE: an artificial neural network tool for the NMR spectral assignment of proteins

J L Pons  1 , M A Delsuc
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RESCUE: an artificial neural network tool for the NMR spectral assignment of proteins

J L Pons et al. J Biomol NMR. 1999 Sep.

Abstract

The assignment of the 1H spectrum of a protein or a polypeptide is the prerequisite for advanced NMR studies. We present here an assignment tool based on the artificial neural network technology, which determines the type of the amino acid from the chemical shift values observed in the 1H spectrum. Two artificial neural networks have been trained and extensively tested against a non-redundant subset of the BMRB chemical shift data bank [Seavey, B.R. et al. (1991) J. Biomol. NMR, 1, 217-236]. The most promising of the two accomplishes the analysis in two steps, grouping related amino acids together. It presents a mean rate of success above 80% on the test set. The second network tested separates down to the single amino acid; it presents a mean rate of success of 63%. This tool has been used to assist the manual assignment of peptides and proteins and can also be used as a block in an automated approach to assignment. The program has been called RESCUE and is made publicly available at the following URL: http:(/)/www.infobiosud.univ-montp1.fr/rescue.

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