{"database":"PAXDB","file_versions":[{"headers":{"Content-Type":["application/json"]},"body":{"files":{"Other":["http://pax-db.org/downloads/latest/datasets/bioprojects-abundance-files-v4.0.zip"]},"type":"primary"},"statusCode":"OK","statusCodeValue":200}],"scores":{"citationCount":0,"reanalysisCount":0,"viewCount":0,"searchCount":0},"additional":{"omics_type":["Proteomics"],"submitter":["Christian von Mering"],"species":["10090"],"full_dataset_link":["https://pax-db.org/dataset/10090/490061446"],"submitter_email":["mering@imls.uzh.ch"],"submitter_affiliation":["University of Zurich"],"sample_protocol":[""],"repository":["PAXDB"],"data_protocol":["For the rescaling, the\ndatasets are first parsed or processed such that the data reflect\nproportional abundances of whole protein molecules\n(i.e. proportionality to counts of complete, individual protein\nmolecules, not to molecular weights, protein volumes, or digested\npeptides). In the case of spectral counting data protein. The proportional abundances are rescaled linearly to add up\nto one million; this means the abundance of each protein of\ninterest is finally expressed in (parts per million,) relative to\nall other proteins in a sample. \nFor a given protein abundance dataset, we then compute\nthe absolute log abundance ratios of all pairs of proteins\nannotated to be functionally linked. The median of these absolute\nlog abundance ratios represents an indirect quality\nmetric: the closer it is to zero, the better (i.e. the more there\nis consistency between abundance values and functional annotations\nsuch as protein complexes or pathways). We then\ncompute a background expectation for this metric, by permuting\nthe abundance values in a given dataset randomly,\nand recomputing the median log abundance ratios. The permutation\nis repeated several times, yielding a distribution of\nmedians. The actually observed median is then expressed as a\nZ-score distance to the random distribution ofmedians—this\ndistance is termed the interaction consistency score."],"data_synonyms":["Add, DmelCG43443, ADD, ADD-87, Hts-RC, data, AU023367, Data Set, protein complex, supply, Proteins, Ovhts, Gene, HtsRC, CG9325, protein, neutral molecular compounds, protein-containing complex, Dmel_CG9325, Xt, Peptide, 1B1, add, Polypeptides, anon-EST:Posey9, protein polypeptide chains, native protein, peptido, htsRC, GLI3-190, natural protein, polypeptide chain, Add-hts, Protein, CG43443, Gene Products, l(2)k14523, Dmel_CG34197, l(2)00634, median, Ovhts-RC, background, supply and distribution, protein aggregate, all_pairs, molecule, Bph, molecula, Random selection by shearing, oligonucleotide random primer, proportion, HTS-R1, HTS, Hts, molecules, peptides, l(2)k06121, adducin, GLI3FL, distribution, AI854843, proportionality, add-like, HTS-RC, rate, proteins, Molekuel, Pdn, sample population, introduction, Protein Gene Products, Gene Proteins, Adducin, RANDOM, 10^[-6], ppm, sample, supply., quotient, Peptid, peptidos, Polypeptide, Attention Deficit Hyperactivity Disorder, l(2)01103, EST D, CG34197, HtsF, ratio"],"name_synonyms":["gut epithelial tissue, dTAF[[II]]230, TAF[[II]]250, d230, gut epithelium, TAF200, l(3)84Ab, dTAFII250, BG:DS00004.13, TAFII-250, epithelial tissue of gut, TAF250/230, EfW1, Cell, epithelial tissue of digestive tract, dTAF230, dmTAF[[II]]230, TAFII250, dmTAF1, Taf230, p230, TAF[[II]]250/230, TFIID, TAF250, Taf[[II]]250, Taf200, dTAF[[II]]250, TAF[[II]]230, TFIID TAF250, cel, cell, Taf1p, digestive tract epithelial tissue, TAF[II]250, muscle, CG17603, TAF[[II]], muscle element, dTAF250, DmelCG17603, epithelium of digestive tract, TAF1., Taf250, alimentary tract epithelium, SR3-5, musculus, epithelium of gut, TAF, gastrodermis, TAF230"],"citation_count":["0"],"additional_accession":[]},"is_claimable":false,"name":"M.musculus - Gut epithelium, SC (Kruger,cell,2008)","description":"abundance based on Spectral counting, Interaction consistency score: 4.3, Coverage: 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