{"id":"W2021491872","doi":"10.1021/ja310585e","title":"Using Distal-Site Mutations and Allosteric Inhibition To Tune, Extend, and Narrow the Useful Dynamic Range of Aptamer-Based Sensors","year":2012,"lang":"en","type":"article","venue":"Journal of the American Chemical Society","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":154,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"National Institute of Biomedical Imaging and Bioengineering","keywords":"Aptamer; Allosteric regulation; Chemistry; Dynamic range; Oligonucleotide; Folding (DSP implementation); Range (aeronautics); Computational biology; Biophysics; Nanotechnology; Biological system; Computer science; Receptor; Biochemistry; Biology; DNA; Genetics; Materials science","routes":{"ca_aff":true,"ca_fund":false,"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":[0.000775796,0.0007107045,0.0005085948,0.000285989,0.0002397159,0.0006606539,0.0007515835,0.0005867276,0.0007761473],"category_scores_gemma":[0.0009383011,0.00033512,0.0003433452,0.0001639483,0.0007465901,0.0005289415,0.0005991023,0.001380132,0.0003416823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000318939,"about_ca_system_score_gemma":0.0002655514,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002331683,"about_ca_topic_score_gemma":0.0005753515,"domain_scores_codex":[0.9993302,0.00009791006,0.00006227835,0.0001948694,0.0002396009,0.00007519018],"domain_scores_gemma":[0.9995118,0.0001929956,0.0001214013,0.00008071552,0.00004045759,0.00005252289],"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":[0.00005283528,0.0000629483,0.000184756,0.00005168868,0.00001038479,0.00004033762,0.00003446382,0.00137763,0.990163,0.0009214139,0.00006290701,0.00703763],"study_design_scores_gemma":[0.00001471534,0.0001169016,0.0001360916,0.000004295283,0.00001173841,0.0001929892,0.000006387251,0.003477904,0.9936838,0.0001652461,0.002177168,0.00001288079],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.71644,0.004427256,0.2689903,0.0007525305,0.0001806892,0.0002412001,0.0001536074,0.001458263,0.007356122],"genre_scores_gemma":[0.9306808,0.001358276,0.06536598,0.0004268279,0.00003170294,0.0001376287,0.0001018412,0.0001224486,0.001774561],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007761473,"threshold_uncertainty_score":0.004102886,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01158484119037985,"score_gpt":0.2843530208526248,"score_spread":0.272768179662245,"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."}}