Determining the structures of proteins is a critical step to understand their biological functions. Crystallography-based X-ray diffraction technique is the main method for experimental protein structure determination. However, the underlying crystallization process, which needs multiple time-consuming and costly experimental steps, has a high attrition rate. To overcome this issue, a series of in silico methods have been developed with the primary aim of selecting the protein sequences that are promising to be crystallized. However, the predictive performance of the current methods is modest.

中文翻译：

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CLPred：使用BLSTM神经网络的基于序列的蛋白质结晶预测因子

确定蛋白质的结构是了解其生物学功能的关键步骤。基于晶体学的X射线衍射技术是确定蛋白质实验结构的主要方法。然而，需要多个耗时且昂贵的实验步骤的基础结晶过程具有很高的损耗率。为了克服这个问题，已经开发了一系列计算机方法，其主要目的是选择有望结晶的蛋白质序列。但是，当前方法的预测性能不高。