Data repository associated with 'A Functional Map of the Human Intrinsically Disordered Proteome'

ES_MAP.zip a hierarchically clustered map of the human IDR-ome .cdt .gtr files - outputs of Cluster3.0 software .txt file equivalent of the .cdt can be visualized using JavaTreeView (see Tutorial_ES.pdf) TUTORIAL.zip, information on: visualization and analysis of the human IDR-ome map search for proteins of interest and exploratory analyses of clusters automatic export and analysis of exported clusters (code available at https://github.com/IPritisanac/ES_PW) IDROME_SEQUENCES.zip human proteome fasta file IDRome fasta file SPOT-Disorder v1.0 disorder boundaries 13 044 unique protein sequences with at least one IDR (>=30 amino acids) 21 252 total unique human IDRs IDR_ALN.zip alignments of IDR sequences across ENSEMBL orthologs 19 459 IDR alignments UniProt ID and IDR boundaries for the human sequence are indicated in the name of the file FAIDR_TSTATS.zip hierarchical clustering of FAIDR t-statistics for 148 GO terms .cdt, .gtr files from Cluster3.0 can be visualized using JavaTreeView reveals the most predictive molecular features for the top performing 148 models CLUSTERS_EXPLORE.zip clusters obtained through exploratory analysis of the map provided in ES_MAP.zip 93 exported clusters in .cdt file format CLUSTERS_AUTO.zip clusters extracted from the hierarchically clustered IDR-ome map at a range of distance thresholds (0.4 - 0.8) in .cdt file format distance refers to the uncentered correlation distance between vectors of Z-scores representing human IDRs clusters extracted at different distance thresholds are split into separate archives AUTO_GO_FEATS.xlsx - summary of GO-term overrepresentation and feature enrichment analyses; each distance threshold is in a separate sheet FAIDR_HIGH_AUC_PPV_GO.zip target files with annotations of 148 GO terms for which good quality FAIDR models could be obtained (AUC >= 0.7, PPV >= 0.4) file format: three columns; 1st: IDR ID (includes IDR boundaries); 2nd: protein UniProt ID; 3rd: annotation of the protein to a GO term (1 if known to be associated with the GO term, 0 if not) DATASETS.zip supplementary dataset accompanying manuscript (PNAS 2026)ES_MAP.zip：人类IDR组（IDR-ome）的层级聚类图谱。 .cdt、.gtr文件：Cluster3.0软件的输出结果。 .txt文件：.cdt文件的等效文本格式，可通过JavaTreeView进行可视化（详见Tutorial_ES.pdf）。 TUTORIAL.zip：包含以下内容的教程： 1. 人类IDR-ome图谱的可视化与分析； 2. 目标蛋白检索与聚类探索性分析； 3. 导出聚类的自动分析与处理（相关代码已开源至https://github.com/IPritisanac/ES_PW）。 IDROME_SEQUENCES.zip：包含人类蛋白质组FASTA文件、IDRome FASTA文件，以及SPOT-Disorder v1.0版本的无序区域边界信息。本数据集包含13044条至少包含一个长度≥30个氨基酸的内在无序区域（intrinsically disordered region, IDR）的独特蛋白质序列，共计21252条人类独特IDR。 IDR_ALN.zip：跨ENSEMBL同源物种的IDR序列比对文件，共包含19459条IDR序列比对结果。人类序列的UniProt标识符与IDR边界已标注于文件名中。 FAIDR_TSTATS.zip：针对148个基因本体（Gene Ontology, GO）术语的FAIDR t统计值层级聚类结果。包含Cluster3.0软件生成的.cdt、.gtr文件，可通过JavaTreeView进行可视化，该数据集可用于揭示表现最优的148个模型中最具预测价值的分子特征。 CLUSTERS_EXPLORE.zip：由ES_MAP.zip提供的IDR组图谱经探索性分析得到的聚类结果，包含93个以.cdt文件格式存储的导出聚类。 CLUSTERS_AUTO.zip：在0.4至0.8的一系列距离阈值下，从层级聚类的人类IDR组图谱中提取得到的聚类结果，文件格式为.cdt。此处的距离指代表人类IDR的Z分数向量之间的非中心化相关距离；不同距离阈值下提取得到的聚类被分别打包至独立的压缩包中。 AUTO_GO_FEATS.xlsx：GO术语富集与特征富集分析的汇总文件，每个距离阈值对应一个独立工作表。 FAIDR_HIGH_AUC_PPV_GO.zip：包含148个可构建高质量FAIDR模型（曲线下面积（Area Under the Curve, AUC）≥0.7，阳性预测值（Positive Predictive Value, PPV）≥0.4）的GO术语注释的目标文件。文件格式为三列：第一列为IDR标识符（包含IDR边界信息），第二列为对应蛋白质的UniProt标识符，第三列为蛋白质与该GO术语的关联注释（1表示存在明确关联，0表示无关联）。 DATASETS.zip：2026年发表于《美国国家科学院院刊》（PNAS）的相关论文的配套补充数据集。