Gromiha M Michael, Yugandhar K
Department of Biotechnology, Bhupat and Jyoti Mehta School of Biosciences, Indian Institute of Technology Madras, Chennai 600036, Tamilnadu, India.
Department of Biotechnology, Bhupat and Jyoti Mehta School of Biosciences, Indian Institute of Technology Madras, Chennai 600036, Tamilnadu, India.
Prog Biophys Mol Biol. 2017 Sep;128:33-38. doi: 10.1016/j.pbiomolbio.2017.01.001. Epub 2017 Jan 7.
Protein-protein interactions perform several functions inside the cell. Understanding the recognition mechanism and binding affinity of protein-protein complexes is a challenging problem in experimental and computational biology. In this review, we focus on two aspects (i) understanding the recognition mechanism and (ii) predicting the binding affinity. The first part deals with computational techniques for identifying the binding site residues and the contribution of important interactions for understanding the recognition mechanism of protein-protein complexes in comparison with experimental observations. The second part is devoted to the methods developed for discriminating high and low affinity complexes, and predicting the binding affinity of protein-protein complexes using three-dimensional structural information and just from the amino acid sequence. The overall view enhances our understanding of the integration of experimental data and computational methods, recognition mechanism of protein-protein complexes and the binding affinity.
蛋白质-蛋白质相互作用在细胞内发挥多种功能。了解蛋白质-蛋白质复合物的识别机制和结合亲和力是实验生物学和计算生物学中的一个具有挑战性的问题。在本综述中,我们关注两个方面:(i)理解识别机制;(ii)预测结合亲和力。第一部分讨论了用于识别结合位点残基的计算技术以及与实验观察结果相比,重要相互作用对理解蛋白质-蛋白质复合物识别机制的贡献。第二部分致力于开发用于区分高亲和力和低亲和力复合物的方法,并利用三维结构信息以及仅从氨基酸序列预测蛋白质-蛋白质复合物的结合亲和力。整体观点增强了我们对实验数据与计算方法的整合、蛋白质-蛋白质复合物的识别机制以及结合亲和力的理解。