{"id":"W2111635789","doi":"10.1002/anie.201102911","title":"Programming the Cellular Uptake of Physiologically Stable Peptide–Gold Nanoparticle Hybrids with Single Amino Acids","year":2011,"lang":"en","type":"article","venue":"Angewandte Chemie International Edition","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University Health Network","funders":"Canadian Institutes of Health Research","keywords":"Peptide; Amino acid; Tryptophan; Chemistry; Colloidal gold; Ligand (biochemistry); Nanoparticle; Combinatorial chemistry; Biochemistry; Computer science; Computational biology; Nanotechnology; Biology; Receptor; Materials science","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":[0.0001955579,0.0002955161,0.000303827,0.0001255835,0.0001245938,0.0005622449,0.0002592934,0.0004063019,0.0005694746],"category_scores_gemma":[0.0002583133,0.0002151865,0.0001919169,0.0001171135,0.0002590283,0.0003201392,0.000347854,0.0003484913,0.0003588197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004621796,"about_ca_system_score_gemma":0.0001296475,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003167874,"about_ca_topic_score_gemma":0.0006821193,"domain_scores_codex":[0.9998251,0.00002675796,0.0000130158,0.00005303562,0.00004267689,0.00003947569],"domain_scores_gemma":[0.9998609,0.00005939263,0.00002585178,0.00001488858,0.00001990755,0.00001900734],"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":[0.00002239556,0.000005789021,0.00002068152,0.00001259141,0.000001610449,0.00001125336,0.00001084661,0.0000723374,0.9993175,0.00004341646,0.00001330635,0.0004681989],"study_design_scores_gemma":[0.000003575411,0.00003816701,0.0001669494,8.924609e-7,0.00000373379,0.00001514553,0.000005591819,0.000688045,0.9986278,0.00001286595,0.0004347621,0.000002587322],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925708,0.0007314821,0.004844707,0.00008282741,0.00002833578,0.00002430388,0.00006189593,0.0001125515,0.001543071],"genre_scores_gemma":[0.99428,0.0003136783,0.00350699,0.00004652777,0.000009864138,0.0000293945,0.00005627606,0.00004431995,0.001712966],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005694746,"threshold_uncertainty_score":0.003353298,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02010032572557524,"score_gpt":0.2368414163054019,"score_spread":0.2167410905798266,"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."}}