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CaFE: a tool for binding affinity prediction using end-point free energy methods

机译:CaFE:使用终点自由能方法进行结合亲和力预测的工具

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摘要

Accurate prediction of binding free energy is of particular importance to computational biology and structure-based drug design. Among those methods for binding affinity predictions, the end-point approaches, such as MM/PBSA and LIE, have been widely used because they can achieve a good balance between prediction accuracy and computational cost. Here we present an easy-to-use pipeline tool named Calculation of Free Energy (CaFE) to conduct MM/PBSA and LIE calculations. Powered by the VMD and NAMD programs, CaFE is able to handle numerous static coordinate and molecular dynamics trajectory file formats generated by different molecular simulation packages and supports various force field parameters. Availability and implementation: CaFE source code and documentation are freely available under the GNU General Public License via GitHub at https://github.com/huiliucode/cafe_plugin. It is a VMD plugin written in Tcl and the usage is platform-independent.
机译:结合自由能的准确预测对于计算生物学和基于结构的药物设计特别重要。在那些用于绑定亲和力预测的方法中,端点方法(例如MM / PBSA和LIE)已被广泛使用,因为它们可以在预测精度和计算成本之间取得良好的平衡。在这里,我们介绍了一种易于使用的管道工具,称为自由能计算(CaFE),可以进行MM / PBSA和LIE计算。在VMD和NAMD程序的支持下,CaFE能够处理由不同分子模拟软件包生成的众多静态坐标和分子动力学轨迹文件格式,并支持各种力场参数。可用性和实现:CaFE源代码和文档可通过GNU通用公共许可通过GitHub在https://github.com/huiliucode/cafe_plugin上免费获得。它是用Tcl编写的VMD插件,其用法与平台无关。

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