TECPR2 protein models predicted by three algorithms

This ZIP-file contains the files used for TECPR2 protein modeling and resulting PDB (Protein Data Bank) files from three algorithms/pipelines (GalaxyWEB, trRosetta, SWISS-MODEL) used for clustering analysis and visualization in Neuser et al. ("Clinical, neuroimaging and molecular spectrum of <em>TECPR2-</em>associated hereditary sensory and autonomic neuropathy with intellectual disability").<br> We always used standard parameters and the respective top model ("model_1 | model01 | model1") for each algorithm/pipeline and/or downstream steps.本压缩包内含用于TECPR2蛋白质建模的相关文件，以及由GalaxyWEB、trRosetta、SWISS-MODEL三种算法/流程生成的PDB（蛋白质数据库，Protein Data Bank）文件。上述文件均被应用于Neuser等人的研究——该研究发表于《TECPR2相关伴智力障碍的遗传性感觉自主神经病的临床、神经影像学及分子谱特征》，用于其中的聚类分析与可视化工作。本次分析全程采用标准参数，并针对每种算法/流程及下游分析步骤，分别选用了对应的最优模型（格式为"model_1 | model01 | model1"）。