{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018114,0.000158871,0.0001855433,0.00001679769,0.00007582009,0.00002768586,0.0002171796,0.00008607688,0.00001599441],"category_scores_gemma":[0.00004675495,0.0001019225,0.00006732323,0.00003509571,0.00007781832,0.00001046301,0.00005296475,0.00002194788,0.000002772789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005750781,"about_ca_system_score_gemma":0.00005593686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001165506,"about_ca_topic_score_gemma":0.00001793682,"domain_scores_codex":[0.9991328,0.00004228375,0.0002573068,0.0002341592,0.0001012439,0.0002321742],"domain_scores_gemma":[0.9993544,0.00001040254,0.00012495,0.0003681352,0.00007879688,0.00006338186],"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":[0.001088543,0.00007228846,0.000005692564,0.00003257388,0.00008072796,9.106461e-7,0.0001670279,0.00001037628,0.9975577,0.0005753938,0.0003594369,0.00004933571],"study_design_scores_gemma":[0.00107677,0.000324637,0.000009559926,0.00005172346,0.00005564031,0.000001409038,0.00006879344,0.001937146,0.9937713,0.002280475,0.0002674877,0.0001550264],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9890462,0.00008406535,0.009736608,0.00007110758,0.00008682955,0.0007240975,0.0001815603,0.00002200813,0.00004756867],"genre_scores_gemma":[0.9834409,0.000004795582,0.01596752,0.00006817265,0.0001179246,0.0002202929,0.00006314905,0.00003033968,0.00008692359],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006230912,"threshold_uncertainty_score":0.4156278,"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."}}