{"id":"W2084361108","doi":"10.1074/jbc.m107169200","title":"Topology of a Human Equilibrative, Nitrobenzylthioinosine (NBMPR)-sensitive Nucleoside Transporter (hENT1) Implicated in the Cellular Uptake of Adenosine and Anti-cancer Drugs","year":2001,"lang":"en","type":"article","venue":"Journal of Biological Chemistry","topic":"Adenosine and Purinergic Signaling","field":"Biochemistry, Genetics and Molecular Biology","cited_by":140,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Medical Research Council; Canadian Institutes of Health Research; Alberta Heritage Foundation for Medical Research; Fondation pour la Recherche Médicale; British Heart Foundation; Wellcome Trust","keywords":"Adenosine; Nucleoside; Nucleoside transporter; Transporter; Chemistry; Biology; Pharmacology; Biochemistry; Gene","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":[0.00002942951,0.000114066,0.00009416223,0.0001181704,0.000130521,0.0001991985,0.0001057841,0.0002180763,0.0007022491],"category_scores_gemma":[0.00007799886,0.00009048673,0.0001185204,0.0001210627,0.0001116605,0.0001768525,0.00007705766,0.0001611483,0.0002265037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002227317,"about_ca_system_score_gemma":0.00008493528,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006330126,"about_ca_topic_score_gemma":0.0006036472,"domain_scores_codex":[0.9999779,0.000004507362,0.000001524864,0.000007169595,0.000005587463,0.000003263461],"domain_scores_gemma":[0.9999628,0.000005083699,0.00001592565,0.000002191829,0.000003717385,0.00001030646],"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":[0.0002707148,0.00000867477,0.001104895,0.00004469234,0.000007444221,0.0004255547,0.00003549543,0.0007566413,0.9952226,0.0005130002,0.0001057457,0.001504468],"study_design_scores_gemma":[0.00006409053,0.0005537469,0.0707635,0.00003095251,0.00008772317,0.007732471,0.0002824505,0.02818991,0.8706875,0.001305486,0.02025325,0.00004899022],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967332,0.0004583293,0.001481968,0.00005761501,0.000004521798,0.000005666388,0.0003089919,0.0000228338,0.0009269686],"genre_scores_gemma":[0.9945443,0.000685243,0.002422836,0.00003593024,0.000004615729,0.000006065924,0.001367654,0.000007281706,0.0009261523],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007022491,"threshold_uncertainty_score":0.002349317,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01998055073391686,"score_gpt":0.2726060321181191,"score_spread":0.2526254813842023,"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."}}