{"id":"W2227822952","doi":"10.1021/acschembio.5b00806","title":"Stable Colloidal Drug Aggregates Catch and Release Active Enzymes","year":2016,"lang":"en","type":"article","venue":"ACS Chemical Biology","topic":"Protein purification and stability","field":"Biochemistry, Genetics and Molecular Biology","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Canadian Cancer Society Research Institute; University of Toronto; National Institute of General Medical Sciences; Natural Sciences and Engineering Research Council of Canada; Government of Canada","keywords":"Colloid; Chemistry; Ionic strength; Trypsin; Enzyme; Particle (ecology); Adsorption; Chemical engineering; Particle size; Chromatography; Biophysics; Biochemistry; Organic chemistry; 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":[0.0001174011,0.0001280966,0.0001447777,0.00001516799,0.00004587845,0.000006989472,0.0001493367,0.000195796,0.00004762427],"category_scores_gemma":[0.0004631399,0.0000868351,0.00003803707,0.00004446628,0.0003363102,0.000004277197,0.0001363007,0.00006434201,0.00001438615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001813738,"about_ca_system_score_gemma":0.0000531392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002724934,"about_ca_topic_score_gemma":0.000009006213,"domain_scores_codex":[0.9990673,0.00007263624,0.0001551676,0.0004247359,0.00004021106,0.0002399667],"domain_scores_gemma":[0.9993922,0.00006853812,0.00006203008,0.0002913691,0.00007301306,0.0001128577],"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":[0.0001515797,0.0000407531,0.002841771,0.000005340734,0.00002173787,4.011354e-7,0.00001933111,1.53619e-8,0.9750407,0.0006554475,0.0006832511,0.02053971],"study_design_scores_gemma":[0.0004866361,0.00005258643,0.0004360584,0.000004383101,0.000005602117,0.000005764156,0.00001954575,5.243823e-7,0.9189677,0.001419905,0.07846995,0.0001313819],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946675,0.00234078,0.0001194584,0.002052662,0.00004426691,0.000155475,0.00009539536,0.00001983447,0.0005046193],"genre_scores_gemma":[0.997856,0.000556562,0.0002374546,0.000272528,0.00008915423,0.0000484532,0.00008257556,0.000009441104,0.0008478524],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07778671,"threshold_uncertainty_score":0.3541033,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006683834659460061,"score_gpt":0.2362943540696446,"score_spread":0.2296105194101845,"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."}}