Additional file 1: of An efficient method for protein function annotation based on multilayer protein networks
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https://springernature.figshare.com/articles/dataset/Additional_file_1_of_An_efficient_method_for_protein_function_annotation_based_on_multilayer_protein_networks/4461254/1
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资源简介:
Supplementary Data are available, including Complexes.txt: The CYC2008 dataset, which consists of 408 protein complexes involving 1492 proteins in the yeast PPI network. DIP141001.txt: The DIP dataset, updated to Oct.1, 2014, consists of 5017 proteins and 23115 interactions among the proteins. Domain.txt: The domain data derived from Pfam database, including 1107 different types of domains among 3056 proteins. FP-MPN.exe: The FP-MPN algorithm. FPMPN.txt: The predicted results by FP-MPN. GO_C.txt, GO_F.txt and GO_P.txt: Represents cellular component (CC), molecular function (MF) and biological process (BP), respectively. (ZIP 437 kb)
本研究附带补充数据,包含以下文件:
Complexes.txt:CYC2008数据集,涵盖酵母蛋白质相互作用(Protein-Protein Interaction, PPI)网络中的408个蛋白质复合物,涉及1492个蛋白质。
DIP141001.txt:更新至2014年10月1日的DIP数据集,包含5017个蛋白质及其间的23115条蛋白质相互作用。
Domain.txt:源自Pfam数据库的结构域(Domain)数据,涵盖3056个蛋白质中的1107种不同结构域。
FP-MPN.exe:FP-MPN算法程序。
FPMPN.txt:FP-MPN算法的预测结果。
GO_C.txt、GO_F.txt与GO_P.txt:分别对应细胞组分(Cellular Component, CC)、分子功能(Molecular Function, MF)以及生物过程(Biological Process, BP)。
(压缩包大小:437 KB)
提供机构:
Figshare
创建时间:
2017-12-19



