{"id":"W644600352","doi":"10.1021/acs.nanolett.5b00852","title":"General Strategy to Introduce pH-Induced Allostery in DNA-Based Receptors to Achieve Controlled Release of Ligands","year":2015,"lang":"en","type":"article","venue":"Nano Letters","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":111,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"European Research Council; Natural Sciences and Engineering Research Council of Canada; Directorate-General for Research and Innovation; Associazione Italiana per la Ricerca sul Cancro","keywords":"Allosteric regulation; Receptor; Aptamer; DNA; Chemistry; Rational design; Biophysics; Nanotechnology; Combinatorial chemistry; Biochemistry; Materials science; Biology; Molecular biology","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":[0.0002791063,0.0005810673,0.0003242284,0.0002255348,0.0002321563,0.0003345135,0.000567403,0.0005388437,0.00117127],"category_scores_gemma":[0.0001953447,0.0003743799,0.0004567913,0.0001416406,0.0003583544,0.0004053197,0.0003953006,0.001116792,0.0006170251],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003964673,"about_ca_system_score_gemma":0.0002919974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002520495,"about_ca_topic_score_gemma":0.0003575651,"domain_scores_codex":[0.9998518,0.00001987234,0.00001448904,0.00005071647,0.00003476264,0.00002817813],"domain_scores_gemma":[0.9999226,0.00001533027,0.000021275,0.00001984763,0.000007615236,0.00001336146],"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":[0.00003606244,0.00003149771,0.00003385995,0.00008365638,0.000009092258,0.00008619759,0.00002806941,0.0003229244,0.9954265,0.001705708,0.00008506346,0.002151385],"study_design_scores_gemma":[0.00002887254,0.0002027671,0.0001454841,0.000004975544,0.00001087392,0.0002484774,0.000007295555,0.0009352553,0.992907,0.000277632,0.005218605,0.00001277859],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6572222,0.004237857,0.321026,0.001246754,0.0003633797,0.0009784128,0.0007231495,0.001424673,0.01277767],"genre_scores_gemma":[0.8856073,0.00321143,0.1021959,0.0005007726,0.00004767843,0.000641693,0.0002935833,0.000107083,0.007394516],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00117127,"threshold_uncertainty_score":0.003918231,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01511109409457301,"score_gpt":0.2727016186696153,"score_spread":0.2575905245750423,"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."}}