{"id":"W4392231465","doi":"10.1016/j.mcpro.2024.100744","title":"Global Interactome Mapping Reveals Pro-tumorigenic Interactions of NF-κB in Breast Cancer","year":2024,"lang":"en","type":"article","venue":"Molecular & Cellular Proteomics","topic":"Cancer-related gene regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre; University of British Columbia","funders":"Central European Institute of Technology; Ministerstvo Zdravotnictví Ceské Republiky; Ministerstvo Školství, Mládeže a Tělovýchovy; European Commission; National Cancer Research Institute","keywords":"Interactome; Stable isotope labeling by amino acids in cell culture; Breast cancer; Protein–protein interaction; Computational biology; Cancer; Cancer research; Interaction network; NF-κB; Chemistry; Biology; Cell biology; Proteomics; Signal transduction; Biochemistry; Gene; Genetics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001338279,0.0002901647,0.0002906733,0.00136728,0.0002513253,0.000357867,0.0001406782,0.0001906309,0.001195161],"category_scores_gemma":[0.000202087,0.0001143698,0.0004228478,0.001079626,0.000139837,0.0002986319,0.0003296275,0.0001824204,0.00027913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002251395,"about_ca_system_score_gemma":0.000156581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001098118,"about_ca_topic_score_gemma":0.001553971,"domain_scores_codex":[0.9998969,0.00001037305,0.000005013401,0.00004578909,0.0000216497,0.00002028929],"domain_scores_gemma":[0.999905,0.00002011329,0.00002870026,0.00001456079,0.0000119045,0.00001968712],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007852596,0.0001096107,0.07681146,0.0002933151,0.0003234891,0.0004036526,0.0001603132,0.006586876,0.8862078,0.0007627713,0.0009189768,0.02663658],"study_design_scores_gemma":[0.0000247438,0.0002068143,0.7772048,0.0000233847,0.0003025893,0.001550383,0.0003172755,0.07712062,0.1346705,0.001962821,0.006572757,0.00004334897],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933415,0.0007463077,0.003637876,0.00003687465,0.000002877842,0.000006052848,0.001507277,0.0001794172,0.0005418152],"genre_scores_gemma":[0.9912221,0.0004077283,0.003644089,0.00001425414,0.000004123633,0.0000179164,0.004111278,0.00003479012,0.0005436827],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00136728,"threshold_uncertainty_score":0.00399822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007918516912742937,"score_gpt":0.2662840552175,"score_spread":0.2583655383047571,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}