Recently, a deep learning-based enhancing Position-Specific Scoring Matrix (PSSM) method (Bagging Multiple Sequence Alignment [MSA] Learning) Guo et al. has been proposed, and its effectiveness has been empirically proved. Program EPTool is the implementation of Bagging MSA Learning, which provides a complete training and evaluation workflow for the enhancing PSSM model. It is capable of handling different input data set and various computing algorithms to train the enhancing model, then eventually improve the PSSM quality for those proteins with insufficient homologous sequences. In addition, EPTool equips several convenient applications, such as PSSM features calculator, and PSSM features visualization. In this article, we propose designed EPTool and briefly introduce its functionalities and applications. The detailed accessible instructions are also provided.

中文翻译：

---

EPTool：一种用于蛋白质二级结构预测的增强型 PSSM 新工具

最近，基于深度学习的增强位置特定评分矩阵（PSSM）方法（Bagging Multiple Sequence Alignment [MSA] Learning）Guo 等人。已提出，其有效性已得到经验证明。Program EPTool 是 Bagging MSA Learning 的实现，它为增强 PSSM 模型提供了完整的训练和评估工作流程。它能够处理不同的输入数据集和各种计算算法来训练增强模型，然后最终提高那些同源序列不足的蛋白质的 PSSM 质量。此外，EPTool 还配备了一些方便的应用程序，例如 PSSM 功能计算器，PSSM 功能可视化。在本文中，我们提出了设计的 EPTool 并简要介绍了它的功能和应用。