Signal processing techniques predict characteristic frequencies of the Alzheimer's disease beta-amyloid protein and its precursor

被引:0
作者
de Trad, CH [1 ]
机构
[1] United Arab Emirates Univ, Dept Phys, Al Ain, U Arab Emirates
来源
SECOND JOINT EMBS-BMES CONFERENCE 2002, VOLS 1-3, CONFERENCE PROCEEDINGS: BIOENGINEERING - INTEGRATIVE METHODOLOGIES, NEW TECHNOLOGIES | 2002年
关键词
wavelets; resonant recognition model; proteins;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Alzheimer's disease (AD) is an age-related and irreversible brain disorder probably due to the breakdown between nerve cell connections in the brain resulting in death of many of these cells. Amyloid plaques are one of the hallmarks of AD. Plaques are deposits of beta-amyloid - a protein fragment snipped from a larger protein called amyloid precursor protein (APP). Using the resonant recognition model, characteristic frequencies for both beta-amyloid protein and its precursor are predicted. Also, functionally important amino acids for beta-amyloid are predicted, with the wavelet technique.
引用
收藏
页码:149 / 150
页数:2
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