{"id":"W2166563565","doi":"10.1093/protein/gzq027","title":"Epitope mapping in cell surface proteins by site-directed masking: defining the structural elements of NTPDase3 inhibition by a monoclonal antibody","year":2010,"lang":"en","type":"article","venue":"Protein Engineering Design and Selection","topic":"Adenosine and Purinergic Signaling","field":"Biochemistry, Genetics and Molecular Biology","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Centre hospitalier universitaire de Québec","funders":"Canadian Institutes of Health Research; National Institutes of Health; National Heart, Lung, and Blood Institute; University of Cincinnati; American Society for Pharmacology and Experimental Therapeutics","keywords":"Epitope; Monoclonal antibody; Chemistry; Homology modeling; Epitope mapping; Binding site; Biotinylation; Molecular biology; Cysteine; Active site; Biochemistry; Antibody; Alanine scanning; Enzyme; Mutant; Biology; Mutagenesis; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002730199,0.0001443288,0.0001118955,0.00004594017,0.00007258386,0.00002534458,0.00005382218,0.0001197459,0.000005748467],"category_scores_gemma":[0.0000426152,0.000128703,0.00002528621,0.0001802054,0.00001888356,0.0000114648,0.00002671124,0.0002143354,3.601606e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000969392,"about_ca_system_score_gemma":0.00002296183,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008896219,"about_ca_topic_score_gemma":0.000002890564,"domain_scores_codex":[0.9992093,0.00005326374,0.0002198313,0.0002212219,0.00009879791,0.0001975491],"domain_scores_gemma":[0.999747,0.00001585148,0.00008884407,0.00007085234,0.00004304133,0.00003434972],"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":[0.00002591229,0.00001891602,0.001861782,0.00003874601,0.00001150163,5.233528e-7,0.00006324703,0.004031617,0.9936054,0.0000132969,0.0001908519,0.0001382532],"study_design_scores_gemma":[0.0004180038,0.0001125527,0.0005035913,0.00003225917,0.000005410866,0.000008746879,0.00001072825,0.05145483,0.9468361,0.00001375811,0.0004533996,0.0001506575],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.883792,0.001090518,0.1145801,0.00002896333,0.00003045009,0.000440287,0.000007230954,0.00002447736,0.000005986997],"genre_scores_gemma":[0.9783196,0.00002926657,0.02136999,0.000009372824,0.00004788691,0.00003892377,0.0001112268,0.00002008643,0.0000536805],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09452754,"threshold_uncertainty_score":0.5248356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003858847926720416,"score_gpt":0.200732062096932,"score_spread":0.1968732141702116,"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."}}