{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005863011,0.00009400254,0.00009591582,0.00003017506,0.00002278909,0.000009538292,0.0001019428,0.00005528659,0.000004479339],"category_scores_gemma":[0.00006428957,0.00008910069,0.00008207193,0.0000795041,0.0000269548,0.000006172216,0.00003359239,0.00003915277,0.00000219546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003195093,"about_ca_system_score_gemma":0.00002319975,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000211997,"about_ca_topic_score_gemma":0.00001933392,"domain_scores_codex":[0.9993634,0.000009496221,0.0001431508,0.0002441402,0.0001312494,0.0001086177],"domain_scores_gemma":[0.999495,0.00002199525,0.00008837904,0.00007620082,0.0002580008,0.00006047487],"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":[0.0002920593,0.0000483105,0.00002809899,0.00001009846,0.00007301183,4.539716e-7,0.00006949662,0.0000222511,0.9450543,0.0000230518,0.05337099,0.001007903],"study_design_scores_gemma":[0.000230271,0.0001956526,0.00005680291,0.00002919935,0.00002949755,4.308197e-7,0.00005796929,0.0000313417,0.9831212,0.00007376012,0.01606908,0.0001048429],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943441,0.00006404094,0.001471098,0.002466983,0.0002385631,0.000191133,0.0003912339,0.00002800913,0.0008048363],"genre_scores_gemma":[0.9954042,0.00008509473,0.001457703,0.001714826,0.0008568605,0.0000433466,0.0002267464,0.00001152646,0.0001996412],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03806688,"threshold_uncertainty_score":0.3633421,"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."}}