{"id":"W2753470422","doi":"10.1002/cbic.201700411","title":"Synthetic Modular Antibody Construction by Using the SpyTag/SpyCatcher Protein‐Ligase System","year":2017,"lang":"en","type":"article","venue":"ChemBioChem","topic":"Biochemical and Structural Characterization","field":"Biochemistry, Genetics and Molecular Biology","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saskatoon Medical Imaging; University of Saskatchewan","funders":"Western Economic Diversification Canada; Canadian Cancer Society Research Institute","keywords":"Recombinant DNA; Antibody; Modular design; Computational biology; DNA ligase; Protein engineering; Computer science; Biology; Chemistry; Biochemistry; Genetics; Enzyme; Gene","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":[0.0007072024,0.0005885218,0.0004579461,0.0003745699,0.0002263536,0.0003886685,0.0006789733,0.0004141351,0.001211063],"category_scores_gemma":[0.0003225856,0.0003745374,0.0004979173,0.000365737,0.000277109,0.0003612722,0.0005321656,0.0008903412,0.001244839],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004122059,"about_ca_system_score_gemma":0.0004424995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002998955,"about_ca_topic_score_gemma":0.0003737024,"domain_scores_codex":[0.9996589,0.0000610492,0.00004364687,0.00008522626,0.000101323,0.00004981901],"domain_scores_gemma":[0.9997872,0.00004402061,0.00005567519,0.00003713449,0.0000353249,0.00004081204],"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":[0.00005282634,0.00002733565,0.00009794408,0.00005588104,0.00001401683,0.00005100994,0.00001360542,0.0003637005,0.9944893,0.0004873485,0.0001688005,0.004178126],"study_design_scores_gemma":[0.00001514013,0.0001260366,0.0002262104,0.000002462763,0.00001233181,0.0001422375,0.000004275489,0.001494815,0.9923427,0.00007569075,0.00555124,0.000006869689],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5563343,0.0008957663,0.4353552,0.0003277771,0.0001749172,0.0006629656,0.001320096,0.001997377,0.002931527],"genre_scores_gemma":[0.6236836,0.00111168,0.3629055,0.0001883366,0.00004255854,0.0007191671,0.003728729,0.0003596981,0.007260758],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001211063,"threshold_uncertainty_score":0.004051447,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009048313992682818,"score_gpt":0.2467490172470907,"score_spread":0.2377007032544079,"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."}}