{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007204727,0.0008421057,0.0006985551,0.000540516,0.000440233,0.0007430146,0.0007041066,0.000523582,0.0008816645],"category_scores_gemma":[0.0005074607,0.0004700372,0.0005495743,0.0005696572,0.000356982,0.0005966944,0.000489865,0.001199796,0.001961462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006834861,"about_ca_system_score_gemma":0.0004409031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001017152,"about_ca_topic_score_gemma":0.00196789,"domain_scores_codex":[0.9992664,0.0001097974,0.00008013311,0.000126493,0.0003345459,0.00008256421],"domain_scores_gemma":[0.9997188,0.00006037012,0.00006291655,0.00004355302,0.00008242233,0.00003179207],"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":[0.00001026243,0.00001127239,0.00007571335,0.00003906573,0.000006898345,0.00002288866,0.000009789016,0.00008298617,0.998516,0.00009019884,0.0001450941,0.0009898641],"study_design_scores_gemma":[0.000003258616,0.00002185776,0.0004074595,0.000005245242,0.000007296395,0.0001088809,0.000008565779,0.0008616663,0.994589,0.00005486333,0.003925964,0.000006039252],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4447381,0.005730285,0.5378879,0.000848657,0.0001600145,0.0007247179,0.002350612,0.002439437,0.005120234],"genre_scores_gemma":[0.5475084,0.00798782,0.4252248,0.0004684867,0.0000827909,0.0007747888,0.008316533,0.0007877435,0.008848745],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001017152,"threshold_uncertainty_score":0.004959047,"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."}}