MOESM2 of Natural and pathogenic protein sequence variation affecting prion-like domains within and across human proteomes

Additional file 2. Aggregation propensity scores and inter-isoform score comparison for all human protein isoforms. Predicted aggregation propensity for all “high-confidence” human protein isoforms (derived from ActiveDriverDB) was calculated using the modified PAPA algorithm (see Methods section for details). Scores and corresponding full protein sequences are indicated for all isoforms, along with the maximum PAPA score among all isoforms mapping to the same gene, the difference between the PAPA score for the indicated isoform and the maximum PAPA score among related isoforms, and the protein sequence corresponding to the highest-scoring related isoform. Additionally, the PLAAC algorithm was used to analyze the same sequences. A binary variable indicates if the protein contains a PLAAC-predicted PrLD that overlaps with the PAPA-predicted PrLD for high-scoring proteins only and, if so, the position of the PLAAC-predicted PrLD附加文件2：所有人类蛋白质异构体的聚集倾向得分及异构体间得分对比分析。本研究针对源自ActiveDriverDB的全部“高置信度”人类蛋白质异构体，采用改进型PAPA算法计算其预测聚集倾向，详细方法参见方法章节。所有异构体均附带自身得分与对应完整蛋白质序列，同时提供以下关联信息：映射至同一基因的所有异构体中的最高PAPA得分、目标异构体的PAPA得分与相关异构体最高PAPA得分的差值，以及得分最高的相关异构体对应的蛋白质序列。此外，本研究还采用PLAAC算法对上述序列进行了分析。设置一个二分类变量，用以标识该蛋白质是否包含PLAAC预测的类朊病毒结构域（PrLD），且该结构域与仅针对高分蛋白质的PAPA预测类朊病毒结构域存在重叠；若存在重叠，则同时标注该PLAAC预测的类朊病毒结构域的位置。