{"id":"W2060469824","doi":"10.1021/bi4010039","title":"Quinine Binding by the Cocaine-Binding Aptamer. Thermodynamic and Hydrodynamic Analysis of High-Affinity Binding of an Off-Target Ligand","year":2013,"lang":"en","type":"article","venue":"Biochemistry","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":97,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Australian Research Council; Medical Research Council; National Health and Medical Research Council; Natural Sciences and Engineering Research Council of Canada; York University","keywords":"Aptamer; Chemistry; Ligand (biochemistry); Isothermal titration calorimetry; Quinine; Small-angle X-ray scattering; Binding site; Allosteric regulation; Stereochemistry; Crystallography; Biophysics; Biochemistry; Biology; Scattering; Receptor","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003292649,0.0002859992,0.0004868207,0.0001406254,0.0001336718,0.00003308449,0.0003297794,0.0002737217,0.000008862748],"category_scores_gemma":[0.000111064,0.0002168718,0.0002081335,0.0005783861,0.0003935006,0.00001331467,0.0001665576,0.0001459387,7.226245e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000274497,"about_ca_system_score_gemma":0.00003861655,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001476246,"about_ca_topic_score_gemma":0.00002225697,"domain_scores_codex":[0.9984221,0.00006538576,0.00047267,0.0005317272,0.0002128513,0.0002952485],"domain_scores_gemma":[0.9985909,0.00004886546,0.0004656105,0.0006570871,0.0001385997,0.00009886857],"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":[0.00002920495,0.00007435174,0.002014786,0.00003473587,0.0006674242,6.697554e-7,0.0000207045,0.00001827104,0.9955822,0.000003653945,0.0001133816,0.001440572],"study_design_scores_gemma":[0.0002467632,0.0001295712,0.000864507,0.00003186123,0.0004579259,0.000007598595,0.0002466575,0.005460962,0.9922388,0.00002632943,0.00002701495,0.0002620434],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986516,0.0004218989,0.0002530445,0.00007224185,0.00002347682,0.0001474152,0.0002817376,0.0000286712,0.0001198985],"genre_scores_gemma":[0.9966843,0.0002439137,0.001597383,0.00002844228,0.00004679987,0.00001137508,0.00104944,0.00002731891,0.0003110525],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005442691,"threshold_uncertainty_score":0.8843775,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004796664416188445,"score_gpt":0.2378537174619554,"score_spread":0.2330570530457669,"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."}}