{"id":"W835125922","doi":"10.1139/o06-196","title":"P-glycoprotein (ABCB1) interacts directly with lipid-based anti-cancer drugs and platelet-activating factorsThis paper is one of a selection of papers published in this Special Issue, entitled CSBMCB — Membrane Proteins in Health and Disease.","year":2006,"lang":"en","type":"article","venue":"Biochemistry and Cell Biology","topic":"Drug Transport and Resistance Mechanisms","field":"Medicine","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Flippase; ATP-binding cassette transporter; Biochemistry; P-glycoprotein; ATP hydrolysis; Lipid bilayer; Glycolipid; ATPase; Biology; Transporter; Membrane protein; Membrane lipids; Chemistry; Cell biology; Multiple drug resistance; Phospholipid; Membrane; Enzyme; Phosphatidylserine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0001083991,0.0003315956,0.0003506938,0.0001714283,0.0002339613,0.0006463508,0.0001465633,0.000657158,0.002839212],"category_scores_gemma":[0.0002652642,0.0001763721,0.0001897053,0.0002910827,0.0001815974,0.0004912803,0.0003432098,0.0004390209,0.001121141],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003468458,"about_ca_system_score_gemma":0.0001335702,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004169551,"about_ca_topic_score_gemma":0.0004495811,"domain_scores_codex":[0.9997758,0.00005382091,0.000009979442,0.00004761271,0.00006708874,0.00004560792],"domain_scores_gemma":[0.9999416,0.00001748823,0.00001605046,0.000004299118,0.000009245904,0.00001119618],"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":[0.0001069398,0.00003238427,0.0008213043,0.0002524533,0.00002310846,0.000293377,0.00002787957,0.00006319168,0.9885206,0.0004532344,0.0009875324,0.008418107],"study_design_scores_gemma":[0.00004251946,0.0004725426,0.01958416,0.00003570336,0.00006197346,0.002350761,0.00008028961,0.001400318,0.9180449,0.0003245702,0.0575833,0.00001896533],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9099591,0.06978492,0.004857971,0.002720942,0.00049577,0.0000771355,0.000444921,0.0001714282,0.01148778],"genre_scores_gemma":[0.9688821,0.02071911,0.001631954,0.0007232243,0.0002584062,0.00004723277,0.0006476561,0.00002709821,0.007063298],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002839212,"threshold_uncertainty_score":0.009498119,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005071841728658216,"score_gpt":0.2173071908133487,"score_spread":0.2122353490846905,"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."}}