Additional file 1 of Protein secondary structure prediction using a small training set (compact model) combined with a Complex-valued neural network approach

Table S1. The 25 sequences of the G Switch Proteins dataset (GSW25). The 12 G A sequences and 13 G B sequences are given and cited with their original source. Table S2. The 55 proteins of the compact model (SSP 55). The protein names, SCOP classes, folds, number of residues, and the Q 3 achieved per protein are given. Table S3. The confusion matrices broken down by SCOP classes, are given for the SSP 55 proteins. Table S4. The confusion matrices broken down by SCOP classes, are given for the remainder of the CB513 dataset (330 proteins). (XLSX 30 KB)

补充表S1：G开关蛋白数据集（G Switch Proteins dataset, GSW25）包含25条序列，本次列出其中12条G_A序列与13条G_B序列，并标注了其原始文献来源。
补充表S2：精简模型（SSP 55）的55条蛋白序列，本次列出各蛋白的名称、SCOP（Structural Classification of Proteins）结构分类、折叠类型、残基总数以及每条蛋白对应的Q3值。
补充表S3：针对SSP 55数据集蛋白、按SCOP结构分类划分的混淆矩阵。
补充表S4：针对CB513数据集剩余330条蛋白、按SCOP结构分类划分的混淆矩阵。（XLSX格式，大小30 KB）