{"id":"W2610507924","doi":"10.1021/jacs.7b02917","title":"Development of DNA Nanostructures for High-Affinity Binding to Human Serum Albumin","year":2017,"lang":"en","type":"article","venue":"Journal of the American Chemical Society","topic":"RNA Interference and Gene Delivery","field":"Biochemistry, Genetics and Molecular Biology","cited_by":168,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Canadian Institutes of Health Research; Fonds Québécois de la Recherche sur la Nature et les Technologies; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Canada Foundation for Innovation","keywords":"Chemistry; Human serum albumin; Amphiphile; DNA; Nucleic acid; Oligonucleotide; Biophysics; Bovine serum albumin; Plasma protein binding; Serum albumin; Drug delivery; Ligand (biochemistry); Nanoparticle; Biochemistry; Nanotechnology; Receptor; Organic chemistry","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":[0.0001467864,0.0002955987,0.0001953801,0.0001570267,0.0001007507,0.0001799271,0.0002674826,0.0004925475,0.0004631447],"category_scores_gemma":[0.0003119727,0.0001789271,0.0002012638,0.00009087673,0.0001497463,0.0002106604,0.00021056,0.0003318365,0.0004011501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004797477,"about_ca_system_score_gemma":0.0002071461,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004452142,"about_ca_topic_score_gemma":0.0006173048,"domain_scores_codex":[0.999873,0.00002064829,0.00001245805,0.00003438847,0.00003865644,0.0000207243],"domain_scores_gemma":[0.9998909,0.0000195747,0.00002873288,0.000007467878,0.00003387317,0.00001939308],"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":[0.00001282206,0.00000853372,0.00002706445,0.00002298085,0.000001914893,0.00001829319,0.000009467214,0.000146684,0.9983085,0.00009089545,0.00001638958,0.001336366],"study_design_scores_gemma":[0.000009865843,0.0001062912,0.000213847,0.000002946907,0.000003649492,0.00006701586,0.000004856464,0.001722348,0.9959163,0.00004884834,0.001899792,0.000004242259],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9149373,0.004265477,0.07499454,0.0004174055,0.0001558465,0.0002174345,0.0002303218,0.0004308115,0.004350828],"genre_scores_gemma":[0.9398339,0.001404155,0.0543271,0.0002068864,0.00002053443,0.0001471499,0.0002100997,0.00005147134,0.003798699],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004925475,"threshold_uncertainty_score":0.003480792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01783842104130098,"score_gpt":0.2920697983409087,"score_spread":0.2742313772996077,"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."}}