{"id":"W2920060756","doi":"10.1007/s41664-019-00087-y","title":"Interactions Between Hemin-Binding DNA Aptamers and Hemin–Graphene Nanosheets: Reduced Affinity but Unperturbed Catalytic Activity","year":2019,"lang":"en","type":"article","venue":"Journal of Analysis and Testing","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"China Scholarship Council; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Hemin; Aptamer; Graphene; DNA; Oligonucleotide; G-quadruplex; Chemistry; Deoxyribozyme; Ionic strength; Combinatorial chemistry; Biophysics; Biochemistry; Nanotechnology; Materials science; Enzyme; Heme; Biology; Organic chemistry; Molecular biology; Aqueous solution","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":[0.000420324,0.0001864415,0.0004863749,0.0003287115,0.0001387905,0.00006480572,0.000094939,0.0001012476,0.000002358159],"category_scores_gemma":[0.0003777021,0.0001505022,0.0002539913,0.0005948033,0.0000847143,0.0000312813,0.00008810693,0.0002210017,3.812094e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000023191,"about_ca_system_score_gemma":0.00004020552,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004748829,"about_ca_topic_score_gemma":0.00002951357,"domain_scores_codex":[0.9988971,0.00005297106,0.0003957653,0.0002990579,0.0001617438,0.0001933027],"domain_scores_gemma":[0.998675,0.0001611581,0.0006065321,0.0002056937,0.000220846,0.0001307987],"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":[0.00002957705,0.00003008786,0.08475123,0.0000143323,0.0008531139,0.000004257861,0.00002207906,0.000005981941,0.9035067,6.410434e-7,0.00002116765,0.01076083],"study_design_scores_gemma":[0.0002913849,0.0002579098,0.02292697,0.00007871757,0.00154464,0.00008692924,0.0002119957,0.0004032261,0.9737033,0.00002390144,0.0002255325,0.0002455318],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989651,0.0001341809,0.0004687166,0.0001020801,0.00003391631,0.00004849437,0.00001573996,0.00001084317,0.000220886],"genre_scores_gemma":[0.9949477,0.0001120026,0.004510474,0.00003437163,0.0001424263,5.458686e-7,0.00002213718,0.00001193151,0.0002183905],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07019657,"threshold_uncertainty_score":0.6137301,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01734259985802972,"score_gpt":0.2777908457709833,"score_spread":0.2604482459129536,"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."}}