{"id":"W3092155682","doi":"10.1016/j.xphs.2020.09.056","title":"A Detailed Protocol for Generation of Therapeutic Antibodies with Galactosylated Glycovariants at Laboratory Scale Using In-Vitro Glycoengineering Technology","year":2020,"lang":"en","type":"article","venue":"Journal of Pharmaceutical Sciences","topic":"Monoclonal and Polyclonal Antibodies Research","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Bristol-Myers Squibb Canada","keywords":"Glycosylation; Antibody; Glycan; Monoclonal antibody; Effector; Glycomics; Glycoprotein; Sialic acid; Biochemistry; Chemistry; Fragment crystallizable region; In vitro; Computational biology; Biology; Immunology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007126195,0.002261901,0.001050517,0.001060419,0.001008416,0.0004320813,0.001214294,0.000675395,0.0115606],"category_scores_gemma":[0.0005251116,0.001021244,0.001167674,0.00117758,0.000335961,0.0004742793,0.0005500116,0.0022849,0.01095014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004002034,"about_ca_system_score_gemma":0.0008529754,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001259586,"about_ca_topic_score_gemma":0.00240184,"domain_scores_codex":[0.9993463,0.0001276398,0.00009148529,0.0001117075,0.0001775176,0.000145325],"domain_scores_gemma":[0.9997227,0.00005694568,0.00002241246,0.0001106165,0.00006361528,0.00002374499],"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":[0.0001216042,0.0001458907,0.0001291493,0.0003073321,0.00003856814,0.0002307204,0.00007941891,0.0004007544,0.9850562,0.00101624,0.002580226,0.00989384],"study_design_scores_gemma":[0.00006584641,0.0003225527,0.001173369,0.00003858984,0.00009330359,0.0005947963,0.00002700639,0.001298805,0.9122242,0.0006134039,0.08348472,0.00006341877],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1320522,0.004159072,0.7933753,0.0005479146,0.0007405797,0.01164015,0.02629415,0.007563198,0.02362745],"genre_scores_gemma":[0.1682508,0.008114026,0.6625324,0.0006317142,0.0001738516,0.01940873,0.08263087,0.001410449,0.05684716],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0115606,"threshold_uncertainty_score":0.038674,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1631392046619679,"score_gpt":0.4301188188717076,"score_spread":0.2669796142097397,"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."}}