{"id":"W4293109403","doi":"10.1002/pro.4383","title":"High‐efficiency recombinant protein purification using <scp>mCherry</scp> and <scp>YFP</scp> nanobody affinity matrices","year":2022,"lang":"en","type":"article","venue":"Protein Science","topic":"Monoclonal and Polyclonal Antibodies Research","field":"Medicine","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"McMaster University; Mayo Clinic","keywords":"mCherry; Fusion protein; FLAG-tag; Recombinant DNA; Tandem affinity purification; Green fluorescent protein; Yellow fluorescent protein; Affinity chromatography; Myc-tag; Protein purification; Protein tag; Expression vector; Biology; Target protein; Protein engineering; HEK 293 cells; Molecular biology; Chemistry; Biochemistry; Enzyme; Gene","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.003229843,0.0002982539,0.0004006565,0.0005402504,0.002104306,0.0002226122,0.0007939975,0.00007086626,0.00007434619],"category_scores_gemma":[0.001896652,0.0002481312,0.00009293349,0.002606738,0.001070913,0.0004501049,0.0008643908,0.0007075843,0.00005309996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002762622,"about_ca_system_score_gemma":0.0009107129,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009969507,"about_ca_topic_score_gemma":0.000007328877,"domain_scores_codex":[0.9951518,0.0002341538,0.0005087216,0.001006894,0.002083417,0.001015011],"domain_scores_gemma":[0.9981155,0.0002350943,0.0003053802,0.0005444795,0.0003517946,0.0004477811],"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":[0.00003413262,0.0005608568,0.003792296,0.0002956576,0.00001656733,0.00008945632,0.0009204561,0.00005650333,0.9844384,0.004302375,0.0002523606,0.005240926],"study_design_scores_gemma":[0.002308659,0.003093916,0.04761733,0.0004631097,0.00008490078,0.0007947205,0.003466798,0.01671275,0.8680232,0.006521243,0.05058316,0.0003302253],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925904,0.001585532,0.0002305939,0.0009628701,0.0002377561,0.00244562,0.00002062491,0.0001004434,0.001826109],"genre_scores_gemma":[0.9827514,0.00008769811,0.008292358,0.0001196433,0.0001272082,0.0004349277,0.00001189901,0.00002956352,0.008145351],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1164152,"threshold_uncertainty_score":0.9999971,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03938303266911838,"score_gpt":0.310796457154597,"score_spread":0.2714134244854786,"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."}}