CFdb: interactomes

This upload contains predicted interactomes for 23 species derived from meta-analysis of co-fractionation mass spectrometry (CF-MS) data. The following individual organisms are represented: Arabidopsis thaliana Brassica oleracea Caenorhabditis elegans Chaetomium thermophilum Chlamydomonas reinhardtii Dictyostelium discoideum Drosophila melanogaster Glycine max Homo sapiens Mus musculus Nematostella vectensis Oryza sativa Plasmodium berghei Plasmodium falciparum Plasmodium knowlesi Saccharomyces cerevisiae Strongylocentrotus purpuratus Triticum aestivum Trypanosoma brucei Xenopus laevis Escherichia coli Anabaena sp. PCC 7120 Synechocystis sp. PCC 6803 Network inference was performed by training a random forest classifier on known complexes (from CORUM or EcoCyc, for eukaryotes and prokaryotes respectively) to predict interacting protein pairs in cross-validation. Files include the complete classifier scores for every possible protein pair, sorted in descending order. The resulting networks can then be thresholded at an arbitrary precision.