{"id":"W2127526666","doi":"10.1039/c0mb00235f","title":"Identification of an FHL1protein complex containing ACTN1, ACTN4, and PDLIM1 using affinity purifications and MS-based protein–protein interaction analysis","year":2011,"lang":"en","type":"article","venue":"Molecular BioSystems","topic":"Cardiomyopathy and Myosin Studies","field":"Medicine","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; Heart and Stroke Foundation; Ontario Institute for Cancer Research; University of Toronto","funders":"Canadian Institutes of Health Research; Canada Research Chairs; Ontario Genomics Institute; Genome Canada","keywords":"HEK 293 cells; LIM domain; Biology; Immunoprecipitation; Cell biology; Affinity chromatography; Protein–protein interaction; Computational biology; Chemistry; Biochemistry; Receptor; Transcription factor; Gene; Zinc finger","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002990456,0.0006114338,0.0003889403,0.0006447398,0.0004566553,0.0004117647,0.0005686482,0.0004212321,0.001124437],"category_scores_gemma":[0.0003280728,0.0002457124,0.0004085016,0.0003819792,0.0002290297,0.0002581422,0.0004267693,0.0004764791,0.001093504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009093487,"about_ca_system_score_gemma":0.0003244105,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001201679,"about_ca_topic_score_gemma":0.002036283,"domain_scores_codex":[0.9997341,0.00002660896,0.00002177268,0.00008038129,0.00009364916,0.00004337073],"domain_scores_gemma":[0.9998502,0.00003044125,0.00003192743,0.00001454514,0.0000318551,0.00004107444],"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":[0.0001076128,0.00003620395,0.001184447,0.00007897615,0.00003239009,0.0001235674,0.00002903038,0.00007398287,0.9958572,0.00008483222,0.0002168627,0.002174951],"study_design_scores_gemma":[0.00003235699,0.0001077866,0.03039074,0.00002384872,0.0001049355,0.001412683,0.00006267263,0.008588889,0.9493287,0.0001391566,0.009785867,0.00002241491],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9642792,0.004164474,0.02527853,0.0005398182,0.00005978312,0.0001543127,0.002945848,0.0003134073,0.002264649],"genre_scores_gemma":[0.9027739,0.002559751,0.06679875,0.0005863001,0.00004321014,0.0002694136,0.01963225,0.000192341,0.007144],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001201679,"threshold_uncertainty_score":0.006597757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06277262468024837,"score_gpt":0.3059447153641763,"score_spread":0.2431720906839279,"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."}}