{"id":"W2749620002","doi":"10.1038/s41598-017-09518-1","title":"Improvement of Pharmacokinetic Profile of TRAIL via Trimer-Tag Enhances its Antitumor Activity in vivo","year":2017,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Cell death mechanisms and regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":92,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre","funders":"Université de Montréal; Ministry of Science and Technology of the People's Republic of China","keywords":"In vivo; Trimer; Agonist; In vitro; Monoclonal antibody; Receptor; Chemistry; Pharmacology; Apoptosis; Pharmacokinetics; Cell biology; Antibody; Cancer research; Biochemistry; Biology; Immunology; Dimer","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":[0.0002004283,0.0002071891,0.0002435301,0.0001592881,0.00006846281,0.000195417,0.00014518,0.0001556835,0.0007553027],"category_scores_gemma":[0.0002291761,0.00009061832,0.0001485739,0.0001349593,0.0001038148,0.0002392093,0.00008537174,0.0006000932,0.0003846227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002638318,"about_ca_system_score_gemma":0.0002878445,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005579647,"about_ca_topic_score_gemma":0.0004661586,"domain_scores_codex":[0.9999111,0.00002385065,0.000004546501,0.00001687454,0.00001955656,0.0000240845],"domain_scores_gemma":[0.99991,0.00001439358,0.00002198728,0.00001799639,0.00001358838,0.00002211486],"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":[0.0008190318,0.0001858587,0.000199258,0.00001509905,0.000006964635,0.000028897,0.0000192041,0.0002887481,0.9922984,0.00006855073,0.0001346662,0.005935314],"study_design_scores_gemma":[0.0001079977,0.002810084,0.001642317,0.000002161925,0.00002584298,0.0002298381,0.000009580022,0.0028599,0.9904996,0.00006579228,0.001741615,0.000005194584],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932405,0.00117008,0.00411714,0.0001279333,0.00003219629,0.00003507579,0.0002335238,0.0001180854,0.0009255726],"genre_scores_gemma":[0.9948928,0.0007236587,0.002253318,0.00006177134,0.00001956194,0.0000233827,0.0003258607,0.0000413485,0.001658215],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007553027,"threshold_uncertainty_score":0.00252676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01266358871438904,"score_gpt":0.2777372135099639,"score_spread":0.2650736247955749,"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."}}