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1095052 
Journal Article 
Resolution of multicomponent overlaing NMR signals using an immune algorithm and genetic algorithm 
Shao, XG; Sun, L 
2001 
1 
Gaodeng Xuexiao Huaxue Xuebao / Chemical Journal of Chinese Universities
ISSN: 0251-0790 
22 
4 
Chinese 
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 NMR signals of mixed animo-acid with the aid of genetic algorithm. The method takes an overlapping NMR signal as an antigen, and the standard NMR signal 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.