Huang Yangyu, Li Haotian, Xiao Yi
Biomolecular Physics and Modeling Group, School of Physics, Huazhong University of Science and Technology, Wuhan, 430074 China.
Biophys Rep. 2016;2(5):95-99. doi: 10.1007/s41048-017-0034-y. Epub 2017 Feb 10.
3dRPC is a computational method designed for three-dimensional RNA-protein complex structure prediction. Starting from a protein structure and a RNA structure, 3dRPC first generates presumptive complex structures by RPDOCK and then evaluates the structures by RPRANK. RPDOCK is an FFT-based docking algorithm that takes features of RNA-protein interactions into consideration, and RPRANK is a knowledge-based potential using root mean square deviation as a measure. Here we give a detailed description of the usage of 3dRPC. The source code is available at http://biophy.hust.edu.cn/3dRPC.html.
3dRPC是一种为三维RNA-蛋白质复合物结构预测而设计的计算方法。从一个蛋白质结构和一个RNA结构开始,3dRPC首先通过RPDOCK生成推测的复合物结构,然后通过RPRANK评估这些结构。RPDOCK是一种基于快速傅里叶变换(FFT)的对接算法,它考虑了RNA-蛋白质相互作用的特征,而RPRANK是一种基于知识的势函数,使用均方根偏差作为衡量标准。在这里,我们详细描述3dRPC的用法。源代码可在http://biophy.hust.edu.cn/3dRPC.html获取。