{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001477478,0.0001624837,0.0001802638,0.00009977435,0.00007921964,0.00003642675,0.00007520433,0.0001528566,2.350569e-7],"category_scores_gemma":[0.0001195157,0.0001495539,0.0001141583,0.000126651,0.0001527187,0.000003357567,0.00006045573,0.00004303763,1.854443e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001113223,"about_ca_system_score_gemma":0.00002332063,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002121158,"about_ca_topic_score_gemma":0.00000308822,"domain_scores_codex":[0.999126,0.000008503183,0.0001992272,0.0004312647,0.00003680981,0.0001982314],"domain_scores_gemma":[0.9995361,0.00005879999,0.0000705526,0.0001905243,0.00008183554,0.00006217078],"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":[0.0000201807,0.00001445857,0.0001388388,0.0001882453,0.00008489793,1.9867e-7,0.00001796937,3.263495e-7,0.9914976,0.0004346338,0.0004241279,0.00717847],"study_design_scores_gemma":[0.0001966047,0.0001452381,0.00009055316,0.00006739588,0.0001102149,0.00001304049,0.0000841635,0.0002747919,0.993356,0.0002929356,0.005181325,0.0001877648],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.986504,0.001373211,0.01090724,0.0004681637,0.00003453023,0.0003324704,0.0002079756,0.00004645553,0.0001259633],"genre_scores_gemma":[0.9710882,0.0004870373,0.02771116,0.0000394196,0.00007694332,0.00004905543,0.0002438923,0.00003079917,0.0002735075],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01680392,"threshold_uncertainty_score":0.6098633,"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."}}