Chakrabarti Saikat, John Jaisurya, Sowdhamini Ramanathan
National Centre for Biological Sciences (TIFR), UAS-GKVK campus, Bellary Road, 560065 Bangalore, India.
J Mol Model. 2004 Feb;10(1):69-75. doi: 10.1007/s00894-003-0169-2. Epub 2003 Dec 23.
Protein comparative modeling has useful applications in large-scale structural initiatives and in rational design of drug targets in medicinal chemistry. The reliability of a homology model is dependent on the sequence identity between the query and the structural homologue used as a template for modeling. Here, we present a method for the utilization and conservation of important structural features of template structures by providing additional spatial restraints in comparative modeling programs like MODELLER. We show that root mean square deviation at C(alpha) positions between the model and the corresponding experimental structure and the quality of the models can be significantly improved for distantly related systems by utilizing additional spatial restraints of the template structures. We demonstrate the influence of such approaches to homology modeling during distant relationships in understanding functional properties of protein such as ligand binding using cytochrome P450 as an example.
蛋白质比较建模在大规模结构研究以及药物化学中药物靶点的合理设计方面有着重要应用。同源模型的可靠性取决于作为建模模板的查询序列与结构同源物之间的序列同一性。在此,我们提出一种方法,通过在诸如MODELLER等比较建模程序中提供额外的空间约束,来利用和保留模板结构的重要结构特征。我们表明,对于远缘相关系统,通过利用模板结构的额外空间约束,可以显著提高模型与相应实验结构在C(α)位置的均方根偏差以及模型的质量。我们以细胞色素P450为例,展示了这种同源建模方法在理解蛋白质功能特性(如配体结合)的远缘关系中的影响。