{"id":"W2088712709","doi":"10.1016/j.actbio.2011.10.028","title":"Engineered peptides with enzymatically cleavable domains for controlling the release of model protein drug from “soft” nanoparticles","year":2011,"lang":"en","type":"article","venue":"Acta Biomaterialia","topic":"Protease and Inhibitor Mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Institute for Nanotechnology; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Drug delivery; Bovine serum albumin; Endopeptidase; Biophysics; Peptide; Matrix metalloproteinase; Nanoparticle; Cleavage (geology); Kinetics; Controlled release; Small molecule; Drug; Molecule; Materials science; Drug carrier; Chemistry; Biochemistry; Enzyme; Nanotechnology; Pharmacology; Organic chemistry; Medicine; Biology","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":[0.0002021826,0.0003015849,0.0001731156,0.0001051637,0.00008713554,0.0002938274,0.0002204003,0.0003318751,0.0005308816],"category_scores_gemma":[0.0002234536,0.0001877958,0.0002169324,0.00009418756,0.0002599253,0.0003166672,0.0001775217,0.0004023096,0.000192586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002603321,"about_ca_system_score_gemma":0.0001261515,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001456166,"about_ca_topic_score_gemma":0.0002377211,"domain_scores_codex":[0.9998963,0.00001474907,0.00001255138,0.00002428541,0.00002813325,0.00002397513],"domain_scores_gemma":[0.9998368,0.00004052006,0.00006835188,0.00001486379,0.00001231946,0.00002726712],"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":[0.00006599183,0.00001463906,0.00004218521,0.00002653895,0.0000040421,0.00004340365,0.000008670677,0.0002611302,0.9984941,0.0002020353,0.00001297038,0.0008243237],"study_design_scores_gemma":[0.000009096333,0.00004407898,0.0001276929,0.000001076073,0.000003791308,0.00004817378,0.000002174022,0.0005116317,0.9989089,0.00002007342,0.0003211664,0.000002185315],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9902653,0.0004422834,0.008430718,0.00004407613,0.00002432711,0.0000245155,0.000066168,0.00004722747,0.0006554332],"genre_scores_gemma":[0.9919668,0.0002296162,0.00672903,0.0000383908,0.000005943025,0.00002207019,0.0000795639,0.00001925803,0.0009093054],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005308816,"threshold_uncertainty_score":0.001888871,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01506036407643095,"score_gpt":0.2066361403357418,"score_spread":0.1915757762593109,"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."}}