Resolution of Multicomponent Overlapping NMR Signals Using an Immune Algorithm and Genetic Algorithm

Abstract

Abstract: The natural immune system has many interesting characteristics and powerful abilities from the information view points, such as recognition of antigen, production of antibody and learning with memory cell. In this paper we proposed a new algorithm by imitating the defending process of immune system to resolve the overlapping NMRsignals of mixed animo-acid with the aid of genetic algorithm. The method takes an overlapping NMRsignal as an antigen, and the standard NMRsignal of estimated components as antibodies. The antigen is subtracted iteratively by the antibodies until the residual approaches to zero and then the information of every components will be extracted. It was proven by the results that the method is a convenient tool for the resolution of multicomponent overlapping NMR signals, and is a promising way to analyze the mixtures or complex bio-moleculars with the aid of database.

Key words: Immune algorithm and genetic algorithm, Resolution of overlapping signals, NMR

CLC Number:

0657.14

TrendMD:

SHAO Xue-Guang, SUN Li . Resolution of Multicomponent Overlapping NMR Signals Using an Immune Algorithm and Genetic Algorithm[J]. Chem. J. Chinese Universities, 2001, 22(4): 552.

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Resolution of Multicomponent Overlapping NMR Signals Using an Immune Algorithm and Genetic Algorithm

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