Chen Changjun, Li Lin, Xiao Yi
Biomolecular Physics and Modeling Group, Department of Physics, Huazhong University of Science and Technology, Wuhan 430074, Hubei, China.
Phys Rev E Stat Nonlin Soft Matter Phys. 2006 Apr;73(4 Pt 1):041926. doi: 10.1103/PhysRevE.73.041926. Epub 2006 Apr 26.
Key residues in proteins are important to their stability, folding, and functions. They usually are highly conserved and can be identified by sequence or structure alignments. However, these methods can only determine the locations of key residues in sequences and structures and give less information about their physical characters. In this paper, we try to identify key residues by analyzing their inter-residue interactions. The model we study is the protein domain from transducin. We show that the usual Gaussian network analysis and distance-based contact analysis have difficulty identifying the key residues in this protein, but the contact energies can do it well. We find that most key residues can be located by the lowest contact energies. This enables us to predict and analyze the key residues in other proteins. Our results suggest that contact energy analysis may provide an alternative approach to investigating the folding and stability of proteins.
蛋白质中的关键残基对其稳定性、折叠和功能至关重要。它们通常高度保守,可通过序列或结构比对来识别。然而,这些方法只能确定关键残基在序列和结构中的位置,而关于其物理特性的信息较少。在本文中,我们尝试通过分析残基间相互作用来识别关键残基。我们研究的模型是转导蛋白的蛋白质结构域。我们表明,常用的高斯网络分析和基于距离的接触分析难以识别该蛋白质中的关键残基,但接触能却能很好地做到这一点。我们发现,大多数关键残基可通过最低接触能来定位。这使我们能够预测和分析其他蛋白质中的关键残基。我们的结果表明,接触能分析可能为研究蛋白质折叠和稳定性提供一种替代方法。