{"id":"W2890752663","doi":"10.1007/978-1-4939-8648-4_21","title":"Fc Engineering: Tailored Synthetic Human IgG1-Fc Repertoire for High-Affinity Interaction with FcRn at pH 6.0","year":2018,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Monoclonal and Polyclonal Antibodies Research","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"National Natural Science Foundation of China","keywords":"Fragment crystallizable region; Neonatal Fc receptor; Antibody; Effector; Protein engineering; Chemistry; Affinities; Immunoglobulin Fc Fragments; Binding affinities; Receptor; Immunoglobulin G; Affinity maturation; Immune system; Cell biology; Mutant; Biophysics; Molecular biology; Computational biology; Immunology; Biochemistry; Biology; Enzyme","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":[0.0002187143,0.0003764562,0.0001701207,0.0001435921,0.0001356988,0.0002070829,0.0003612939,0.0003519529,0.001803621],"category_scores_gemma":[0.000253874,0.0001211523,0.0001591867,0.0001666583,0.0001094178,0.0001427687,0.0002386259,0.0004161917,0.0006256424],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003532612,"about_ca_system_score_gemma":0.000192385,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007521796,"about_ca_topic_score_gemma":0.0009262515,"domain_scores_codex":[0.99983,0.00002734138,0.00000919102,0.00003068562,0.00004779335,0.0000549784],"domain_scores_gemma":[0.9999441,0.000009415285,0.00001095133,0.00000450196,0.00001512315,0.00001591973],"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":[0.00006294784,0.00001869176,0.00007999239,0.00003542502,0.000004026148,0.00003935627,0.00001685067,0.0002661449,0.9973242,0.00009397718,0.00009635507,0.00196203],"study_design_scores_gemma":[0.0000117767,0.00007338059,0.0005355183,0.000003858514,0.000006721967,0.0001118616,0.000009861626,0.001220968,0.9959692,0.00003113184,0.00202103,0.000004630495],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9718955,0.0006737684,0.02268871,0.0001870764,0.00003467178,0.00009422538,0.0004244008,0.0002986932,0.003702989],"genre_scores_gemma":[0.980032,0.0004833349,0.01405962,0.0001639548,0.000009033217,0.00006513356,0.0007169782,0.00007630472,0.004393758],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.001803621,"threshold_uncertainty_score":0.006033659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04075257535647589,"score_gpt":0.4320669682620029,"score_spread":0.3913143929055269,"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."}}