School of Electrical and Computer Engineering, RMIT University, Melbourne, VIC, Australia.
Med Biol Eng Comput. 2010 Apr;48(4):303-9. doi: 10.1007/s11517-010-0587-0. Epub 2010 Feb 11.
Ataxia is a genetic neurological disorder characterised by a neurodegenerative process affecting a motor cortex responsible for balance and coordination. Recently several genes that cause autosomal dominant ataxia development were identified. These abnormal genes share a common ability to produce abnormal ataxin proteins that can affect nerve cells in the cerebellum and spinal cord. Here, using the Resonant Recognition Model (RRM) based on signal processing, we analysed ataxin proteins and identified the characteristic features corresponding to their biological activities. The RRM is a physico-mathematical model developed for analysis of protein interactions. By incorporating Smoothed Pseudo Wigner-Ville distribution (SPWV) in the RRM, we can define the active regions along the protein molecule. The results showed that our computational predictions correspond closely with the experimentally identified locations of the active/binding sites for ataxin-1 and ataxin-3 protein groups. The results obtained provide a valuable insight into the functional performance of ataxin proteins.
共济失调是一种遗传性神经疾病,其特征是一种神经退行性过程,影响负责平衡和协调的运动皮层。最近,已经确定了几个导致常染色体显性共济失调发展的基因。这些异常基因具有共同的能力,可产生异常的共济失调蛋白,从而影响小脑和脊髓中的神经细胞。在这里,我们使用基于信号处理的共振识别模型 (RRM) 来分析共济失调蛋白,并确定与其生物活性相对应的特征。RRM 是为分析蛋白质相互作用而开发的物理数学模型。通过将平滑伪魏格纳-维尔分布 (SPWV) 纳入 RRM,我们可以定义蛋白质分子上的活性区域。结果表明,我们的计算预测与实验确定的共济失调蛋白 1 和共济失调蛋白 3 蛋白组的活性/结合位点的位置非常吻合。所得结果为深入了解共济失调蛋白的功能性能提供了有价值的见解。