{"id":"W2336732532","doi":"10.1371/journal.pone.0153665","title":"Investigating CFTR and KCa3.1 Protein/Protein Interactions","year":2016,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Cystic Fibrosis Research Advances","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier de l’Université de Montréal; McGill University; Université de Montréal","funders":"Université de Montréal; Natural Sciences and Engineering Research Council of Canada; Cystic Fibrosis Canada; McGill University; Canadian Institutes of Health Research; Cystic Fibrosis Foundation Therapeutics","keywords":"Cystic fibrosis transmembrane conductance regulator; Apical membrane; Cystic fibrosis; Cell biology; Ion transporter; Transport protein; Chemistry; Biophysics; Ion channel; Proximity ligation assay; HEK 293 cells; Immunoprecipitation; Cytosol; Membrane protein; Colocalization; Membrane potential; Molecular biology; Membrane; Biology; Biochemistry; Gene; Receptor; Enzyme; Genetics","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":[0.0003676914,0.0003364551,0.0004981053,0.0003248428,0.0005751142,0.0005015446,0.0005544054,0.001034815,0.001536282],"category_scores_gemma":[0.0004258661,0.0001676666,0.0005301218,0.0005599713,0.0002621753,0.0006416509,0.0004061896,0.0006683624,0.0008596559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007923986,"about_ca_system_score_gemma":0.0002358125,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00176224,"about_ca_topic_score_gemma":0.001282614,"domain_scores_codex":[0.9995273,0.00006865516,0.00002339245,0.0001365861,0.0001359536,0.0001080806],"domain_scores_gemma":[0.9998404,0.00005841111,0.00003329206,0.000008545641,0.00003301755,0.00002634488],"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":[0.0001825523,0.00005422178,0.001445843,0.0002519082,0.00002617959,0.000265433,0.00005384391,0.0001548955,0.9949819,0.0004225131,0.0001566418,0.002004107],"study_design_scores_gemma":[0.00005064128,0.0005882903,0.04164946,0.00006690791,0.0001688923,0.002837064,0.0003331907,0.011827,0.9159814,0.0006638238,0.02579221,0.00004110829],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9745955,0.01361187,0.006825768,0.000777074,0.00009970832,0.00007096251,0.0008923135,0.00006709478,0.003059567],"genre_scores_gemma":[0.9816089,0.005596098,0.007552168,0.0003853457,0.00004144795,0.00009783106,0.001821998,0.00003367012,0.002862641],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00176224,"threshold_uncertainty_score":0.005749285,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06502156693234255,"score_gpt":0.3031716010379131,"score_spread":0.2381500341055705,"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."}}