{"id":"W2138694473","doi":"10.1139/o10-155","title":"Analysis of recombinant tagged equilibrative nucleoside transporter 1 (ENT1) expressed in <i>E. coli</i>This paper is one of a selection of papers published in a Special Issue entitled CSBMCB 53rd Annual Meeting — Membrane Proteins in Health and Disease, and has undergone the Journal’s usual peer review process.","year":2011,"lang":"en","type":"article","venue":"Biochemistry and Cell Biology","topic":"Adenosine and Purinergic Signaling","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Ontario Ministry of Research and Innovation; Natural Sciences and Engineering Research Council of Canada","keywords":"Recombinant DNA; Nucleoside; Transporter; Nucleoside transporter; Transmembrane protein; Intracellular; Biochemistry; Biology; Nucleoside analogue; Integral membrane protein; Histidine; Computational biology; Membrane protein; Membrane; Receptor; Gene; Enzyme","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":[0.0002421539,0.0003666002,0.0003212981,0.0002530186,0.0001727545,0.0003657062,0.0003121828,0.0004578873,0.0007001291],"category_scores_gemma":[0.000287332,0.0001404199,0.0003245838,0.0003936446,0.0001685817,0.0002666189,0.0001892933,0.0005374126,0.0006690877],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004948832,"about_ca_system_score_gemma":0.0002154417,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001596915,"about_ca_topic_score_gemma":0.001342759,"domain_scores_codex":[0.9998063,0.00003374511,0.00002116258,0.00003609418,0.00007060337,0.00003201066],"domain_scores_gemma":[0.9997885,0.00006501863,0.00005558878,0.00001975704,0.00004726495,0.00002392714],"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":[0.00003799951,0.00002044849,0.0001494546,0.00003018499,0.000004121734,0.00003816134,0.00001570323,0.00005187418,0.9990566,0.00005411275,0.00003340546,0.0005079103],"study_design_scores_gemma":[0.000003384477,0.000057688,0.001715346,0.0000030341,0.000008818406,0.0001320785,0.00002973327,0.0009916152,0.9952132,0.00001857572,0.001822157,0.000004357557],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9814771,0.001014227,0.01215084,0.0003323172,0.00007240043,0.00006250617,0.002906574,0.0002007063,0.001783333],"genre_scores_gemma":[0.9496545,0.00200264,0.02437527,0.0001904392,0.00002257525,0.00007902715,0.01395779,0.0002502464,0.009467612],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001596915,"threshold_uncertainty_score":0.003590643,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.015107311959901,"score_gpt":0.2426360338330652,"score_spread":0.2275287218731642,"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."}}