{"id":"W2551904109","doi":"10.1074/jbc.m116.746883","title":"An Unbiased Mass Spectrometry Approach Identifies Glypican-3 as an Interactor of Proprotein Convertase Subtilisin/Kexin Type 9 (PCSK9) and Low Density Lipoprotein Receptor (LDLR) in Hepatocellular Carcinoma Cells","year":2016,"lang":"en","type":"article","venue":"Journal of Biological Chemistry","topic":"Lipoproteins and Cardiovascular Health","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Clinical Research Institute; Université de Montréal; Université de Sherbrooke","funders":"Fonds de Recherche du Québec - Santé; Fondation Leducq; Pfizer","keywords":"Kexin; Proprotein convertase; LDL receptor; PCSK9; Immunoprecipitation; Cell biology; Chemistry; Glypican 3; Biology; Biochemistry; Lipoprotein; Cholesterol; Cancer research; Hepatocellular carcinoma","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":[0.0001615621,0.0003346175,0.0002765705,0.0003755456,0.0002852725,0.0002807193,0.0002124095,0.0003051694,0.0004564716],"category_scores_gemma":[0.0001332185,0.0001498888,0.0003292723,0.0003175258,0.0001351763,0.0001387317,0.0003021807,0.0003922391,0.0003076938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003937137,"about_ca_system_score_gemma":0.0002335786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001204049,"about_ca_topic_score_gemma":0.00189696,"domain_scores_codex":[0.9998518,0.00001129056,0.000008995557,0.0000374437,0.00006924112,0.00002126972],"domain_scores_gemma":[0.9999462,0.000007919776,0.00001520234,0.00000668439,0.00001187125,0.00001195266],"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":[0.00005718715,0.000007941175,0.0007833381,0.0000185696,0.00001175642,0.00009709482,0.000009346289,0.00004299727,0.9981297,0.00002589238,0.00003433669,0.0007817768],"study_design_scores_gemma":[0.00001314643,0.00008945902,0.04063126,0.000005402638,0.00005211808,0.0009468525,0.00005622697,0.005938628,0.950442,0.00007643193,0.001735773,0.0000126288],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9893986,0.001096965,0.007730759,0.0001330911,0.00002091783,0.00003742444,0.0007412567,0.0000991987,0.000741891],"genre_scores_gemma":[0.9801932,0.001098941,0.01408737,0.0001875421,0.00001378934,0.0000694505,0.001884436,0.00003267828,0.002432524],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001204049,"threshold_uncertainty_score":0.002856612,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01925057237437816,"score_gpt":0.2493764837586994,"score_spread":0.2301259113843213,"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."}}