{"id":"W2303287204","doi":"10.1007/978-1-4939-1034-2_1","title":"1D4: A Versatile Epitope Tag for the Purification and Characterization of Expressed Membrane and Soluble Proteins","year":2014,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Monoclonal and Polyclonal Antibodies Research","field":"Medicine","cited_by":56,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"National Eye Institute; Canadian Institutes of Health Research","keywords":"Epitope; Monoclonal antibody; Polyclonal antibodies; Immunoprecipitation; Linear epitope; Epitope mapping; Immunoelectron microscopy; Molecular biology; Biochemistry; Blot; Immunofluorescence; Affinity chromatography; Membrane protein; Chemistry; Antibody; Peptide; Biology; Protein tag; Myc-tag; Membrane; Fusion protein; Gene; Recombinant DNA; Enzyme; Genetics","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":[0.0005382459,0.001359723,0.0008436526,0.001262615,0.0005752175,0.0007328664,0.001481115,0.0008345179,0.003438762],"category_scores_gemma":[0.0004568791,0.0005583538,0.0008712917,0.001244601,0.0004622822,0.0007545617,0.0009003622,0.001781586,0.002898385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009751939,"about_ca_system_score_gemma":0.0006201001,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001138309,"about_ca_topic_score_gemma":0.001420175,"domain_scores_codex":[0.9994358,0.00006378606,0.00005945917,0.0001088708,0.0001877527,0.0001443162],"domain_scores_gemma":[0.9997463,0.0000484013,0.00005116893,0.0000495458,0.00004531708,0.0000593454],"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":[0.000141364,0.00003977697,0.0001319535,0.0001018688,0.00001710974,0.00005669401,0.00001896914,0.0000912169,0.9940162,0.0002983048,0.0004838505,0.004602694],"study_design_scores_gemma":[0.00002168201,0.00005974937,0.0009636243,0.000009694068,0.00002746156,0.0003535081,0.00001063981,0.0008881371,0.9837911,0.000183765,0.01367517,0.00001542515],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.617406,0.00659178,0.3481103,0.001454635,0.0004578088,0.0006554953,0.01581663,0.003764385,0.005742906],"genre_scores_gemma":[0.5845035,0.008328911,0.2981944,0.0008085743,0.0001805958,0.0009820507,0.06155737,0.001967262,0.04347731],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.003438762,"threshold_uncertainty_score":0.01150382,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0336048221206035,"score_gpt":0.3914670801138266,"score_spread":0.3578622579932231,"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."}}