Koehler Leman Julia, Mueller Benjamin K, Gray Jeffrey J
Department of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, MD 21218, USA.
Simons Center for Data Analysis, Simons Foundation, New York, NY 10001, USA.
Bioinformatics. 2017 Mar 1;33(5):754-756. doi: 10.1093/bioinformatics/btw716.
A range of membrane protein modeling tools has been developed in the past 5-10 years, yet few of these tools are integrated and make use of existing functionality for soluble proteins. To extend existing methods in the Rosetta biomolecular modeling suite for membrane proteins, we recently implemented RosettaMP, a general framework for membrane protein modeling. While RosettaMP facilitates implementation of new methods, addressing real-world biological problems also requires a set of accessory tools that are used to carry out standard modeling tasks.
Here, we present six modeling tools, including de novo prediction of single trans-membrane helices, making mutations and refining the structure with different amounts of flexibility, transforming a protein into membrane coordinates and optimizing its embedding, computing a Rosetta energy score, and visualizing the protein in the membrane bilayer. We present these methods with complete protocol captures that allow non-expert modelers to carry out the computations.
The presented tools are part of the Rosetta software suite, available at www.rosettacommons.org .
julia.koehler.leman@gmail.com.
Supplementary data are available at Bioinformatics online.
在过去5到10年里,已经开发了一系列膜蛋白建模工具,但这些工具中很少有被整合起来并利用现有的可溶性蛋白功能。为了扩展Rosetta生物分子建模套件中针对膜蛋白的现有方法,我们最近实现了RosettaMP,这是一个膜蛋白建模的通用框架。虽然RosettaMP有助于新方法的实现,但解决实际的生物学问题还需要一套用于执行标准建模任务的辅助工具。
在此,我们展示了六种建模工具,包括单跨膜螺旋的从头预测、进行突变以及用不同程度的灵活性优化结构、将蛋白质转换为膜坐标并优化其嵌入、计算Rosetta能量得分以及在膜双分子层中可视化蛋白质。我们以完整的协议记录展示这些方法,使非专业建模人员能够进行计算。
所展示的工具是Rosetta软件套件的一部分,可在www.rosettacommons.org获取。
julia.koehler.leman@gmail.com。
补充数据可在《生物信息学》在线获取。