Saghapour Ehsan, Sehhati Mohammadreza
Department of Bioelectronic and Biomedical Engineering, School of Advanced Technologies in Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.
Medical Image and Signal Processing Research Center, Isfahan University of Medical Sciences, Isfahan, Iran.
Iran Biomed J. 2019 Jul;23(4):253-61. doi: 10.29252/.23.4.253. Epub 2019 Apr 7.
Establishing theories for designing arbitrary protein structures is complicated and depends on understanding the principles for protein folding, which is affected by applied features. Computer algorithms can reach high precision and stability in computationally designed enzymes and binders by applying informative features obtained from natural structures.
In this study, a position-specific analysis of secondary structures (α-helix, β-strand, and tight turn) was performed to reveal novel features for protein structure prediction and protein design.
Our results showed that the secondary structures in the N-termini region tend to be more compact than C-termini. Decoying periodicity in length and distribution of amino acids in α-helices is deciphered using the curve-fitting methods. Compared with α-helix, β-strands do not show distinct periodicities in length. Also, significant differences in position-dependent distribution of physicochemical properties are shown in secondary structures.
Position-specific propensities in our study underline valuable parameters that could be used by researchers in the field of structural biology, particularly protein design through site-directed mutagenesis.
建立用于设计任意蛋白质结构的理论很复杂,且依赖于对蛋白质折叠原理的理解,而蛋白质折叠会受到应用特征的影响。通过应用从天然结构中获得的信息特征,计算机算法在计算设计的酶和结合剂中可达到高精度和稳定性。
在本研究中,对二级结构(α螺旋、β链和紧密转角)进行了位置特异性分析,以揭示蛋白质结构预测和蛋白质设计的新特征。
我们的结果表明,N端区域的二级结构往往比C端更紧凑。使用曲线拟合方法解析了α螺旋中氨基酸长度和分布的诱饵周期性。与α螺旋相比,β链在长度上没有显示出明显的周期性。此外,二级结构中理化性质的位置依赖性分布也存在显著差异。
我们研究中的位置特异性倾向强调了有价值的参数,结构生物学领域的研究人员,尤其是通过定点诱变进行蛋白质设计的人员可以使用这些参数。