{"id":"W3028862936","doi":"10.1002/anie.202005624","title":"Ribbon of DNA Lattice on Gold Nanoparticles for Selective Drug Delivery to Cancer Cells","year":2020,"lang":"en","type":"article","venue":"Angewandte Chemie International Edition","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":92,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Science Foundation of Fujian Province; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Aptamer; DNA; Colloidal gold; Drug delivery; Nanotechnology; Drug; Nanomaterials; Cancer cell; Fluorescence; Nanoparticle; Targeted drug delivery; Ribbon; Materials science; Biophysics; Chemistry; Cancer; Molecular biology; Biology; Biochemistry; Genetics; Pharmacology","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":[0.000140041,0.0003461609,0.0001873744,0.0002373755,0.000129219,0.0002680511,0.0003334158,0.0003924481,0.0008354652],"category_scores_gemma":[0.0002169113,0.0002208109,0.0002598181,0.0001723844,0.0002203304,0.0002449109,0.0003085589,0.0002914656,0.0006890636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003704221,"about_ca_system_score_gemma":0.000299867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004474854,"about_ca_topic_score_gemma":0.0008063129,"domain_scores_codex":[0.9998561,0.0000234533,0.000008942497,0.00004582469,0.00004465938,0.00002097183],"domain_scores_gemma":[0.9998888,0.00002350079,0.00003653963,0.00001354529,0.00001579551,0.00002172543],"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":[0.00005054331,0.00001544103,0.00005528047,0.0001004882,0.00000656402,0.00006208721,0.0000202149,0.0006651051,0.9931223,0.0004632845,0.000087327,0.005351467],"study_design_scores_gemma":[0.00001400377,0.000144925,0.0001856069,0.000005616069,0.000008472429,0.00009811787,0.000004923329,0.001735971,0.9924825,0.00006307621,0.005248051,0.000008732099],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8833069,0.009483849,0.08308756,0.0004759741,0.0003709362,0.0002743015,0.0003615918,0.001381363,0.02125754],"genre_scores_gemma":[0.9166366,0.002352954,0.07200085,0.000183058,0.00003357158,0.0001073217,0.0002006373,0.0000997598,0.00838533],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008354652,"threshold_uncertainty_score":0.002794981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.014277161318992,"score_gpt":0.2798278465439348,"score_spread":0.2655506852249429,"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."}}