{"id":"W2888179131","doi":"10.2174/1389200219666180821095355","title":"Molecular Design of Peptide-Fc Fusion Drugs","year":2018,"lang":"en","type":"review","venue":"Current Drug Metabolism","topic":"Monoclonal and Polyclonal Antibodies Research","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Fundamental Research Funds for the Central Universities; Sichuan Province Science and Technology Support Program; National Natural Science Foundation of China","keywords":"Rational design; Biopanning; Peptide; Immunogenicity; Computational biology; Computer science; Fusion protein; Fusion; Peptide library; Biology; Peptide sequence; Antibody; Biochemistry; Immunology; Recombinant DNA; Genetics; Gene","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0003312827,0.0006533936,0.0007483388,0.001109511,0.0001673885,0.000578337,0.0007751287,0.000751544,0.002216306],"category_scores_gemma":[0.000327813,0.000277364,0.000601301,0.0007459839,0.0002275839,0.0006400323,0.0003738708,0.001115789,0.001522169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005533363,"about_ca_system_score_gemma":0.0004422887,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004926567,"about_ca_topic_score_gemma":0.0004904054,"domain_scores_codex":[0.9998335,0.00002863598,0.00001657244,0.00003054168,0.00006882397,0.00002195065],"domain_scores_gemma":[0.9999297,0.00001871555,0.00001501343,0.000003970409,0.00002469708,0.000007895009],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001802057,0.0002843516,0.0004141496,0.02280807,0.000230034,0.0007583607,0.00008575018,0.008399486,0.04065117,0.02980756,0.02427044,0.8721104],"study_design_scores_gemma":[0.00008420584,0.0003466593,0.0004809125,0.001388585,0.000141863,0.00161865,0.00002865262,0.002473237,0.02172212,0.004922156,0.9667553,0.00003767728],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00377476,0.9797163,0.006731208,0.0007281118,0.0005099439,0.00009721521,0.0001411243,0.00007857959,0.008222796],"genre_scores_gemma":[0.0233582,0.9633524,0.008278647,0.0005432343,0.000177315,0.0001041742,0.0002579766,0.00001252727,0.003915551],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002216306,"threshold_uncertainty_score":0.007414281,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09296050728257534,"score_gpt":0.4004081643411219,"score_spread":0.3074476570585465,"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."}}