ACCLUSTER在肽结合位点预测中的应用
The Usage of ACCLUSTER for Peptide Binding Site Prediction.
作者信息
Yan Chengfei, Xu Xianjin, Zou Xiaoqin
机构信息
Department of Physics and Astronomy, Department of Biochemistry, Dalton Cardiovascular Research Center, Informatics Institute, University of Missouri, 134 Research Park Drive, 117A Dalton Bldg, Columbia, MO, 65211, USA.
出版信息
Methods Mol Biol. 2017;1561:3-9. doi: 10.1007/978-1-4939-6798-8_1.
Peptides mediate up to 40 % of protein-protein interactions in a variety of cellular processes and are also attractive drug candidates. Thus, predicting peptide binding sites on the given protein structure is of great importance for mechanistic investigation of protein-peptide interactions and peptide therapeutics development. In this chapter, we describe the usage of our web server, referred to as ACCLUSTER, for peptide binding site prediction for a given protein structure. ACCLUSTER is freely available for users without registration at http://zougrouptoolkit.missouri.edu/accluster .
在各种细胞过程中，肽介导高达40%的蛋白质-蛋白质相互作用，并且还是有吸引力的药物候选物。因此，预测给定蛋白质结构上的肽结合位点对于蛋白质-肽相互作用的机制研究和肽治疗药物的开发非常重要。在本章中，我们描述了我们的网络服务器ACCLUSTER的使用方法，该服务器用于预测给定蛋白质结构上的肽结合位点。ACCLUSTER可在http://zougrouptoolkit.missouri.edu/accluster上免费供用户使用，无需注册。
Zotero 插件