{"id":"W4398768237","doi":"10.1002/cbic.202400225","title":"Kinetic ITC of DNA Aptamers Binding for Small Molecules and Implications for Binding Assays and Biosensors","year":2024,"lang":"en","type":"article","venue":"ChemBioChem","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Aptamer; Receptor–ligand kinetics; Chemistry; Molecular beacon; Biosensor; Kinetics; Small molecule; Biophysics; DNA; Biochemistry; Oligonucleotide; Biology; Molecular biology; Physics","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":[0.003887253,0.001280928,0.0009560193,0.001567508,0.0003152367,0.001099279,0.001078832,0.0008172881,0.001572572],"category_scores_gemma":[0.01083313,0.0007489085,0.0006260605,0.001129206,0.001072134,0.001506178,0.0004165781,0.001833245,0.0005702426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00163587,"about_ca_system_score_gemma":0.0005574605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002339539,"about_ca_topic_score_gemma":0.001757467,"domain_scores_codex":[0.9973621,0.0008419532,0.0002477605,0.000444225,0.0008672295,0.0002367631],"domain_scores_gemma":[0.9940984,0.003479843,0.0008584402,0.000559353,0.0009061801,0.000097715],"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":[0.0002179143,0.00008631071,0.002010277,0.0003503628,0.00004814146,0.00008809583,0.0001481536,0.005603262,0.9747371,0.00277134,0.0004317026,0.01350739],"study_design_scores_gemma":[0.000009656376,0.000208945,0.00476802,0.00005092119,0.00003147187,0.000251142,0.0001166059,0.03995005,0.9506921,0.001489638,0.002340495,0.00009099118],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5817782,0.01204332,0.3853388,0.00152556,0.0004857017,0.0004376868,0.001466336,0.00220077,0.01472377],"genre_scores_gemma":[0.9502787,0.002576512,0.04276327,0.0002968699,0.00002507314,0.0002918562,0.0004909956,0.0001465938,0.003130214],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003887253,"threshold_uncertainty_score":0.020558,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01973802871339016,"score_gpt":0.2896641110251613,"score_spread":0.2699260823117711,"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."}}