{"id":"W1991953772","doi":"10.1002/pmic.201100523","title":"Affinity‐purification coupled to mass spectrometry: Basic principles and strategies","year":2012,"lang":"en","type":"review","venue":"PROTEOMICS","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":370,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; University of Toronto; Mount Sinai Hospital","funders":"Canadian Institutes of Health Research","keywords":"Mass spectrometry; Tandem affinity purification; Proteomics; Computational biology; Protein–protein interaction; Function (biology); Chemistry; Protein function; Protein purification; Identification (biology); Protein ligand; Affinity chromatography; Biochemical engineering; Chromatography; Biochemistry; Biology; Enzyme; Cell biology; Engineering","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":[0.001613466,0.002134651,0.002711539,0.003913273,0.0005738742,0.002130967,0.002752323,0.00215548,0.001916364],"category_scores_gemma":[0.0007692698,0.001184906,0.0006830326,0.003471716,0.001557337,0.002695268,0.001459197,0.003522647,0.006493457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001079461,"about_ca_system_score_gemma":0.001067622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008741061,"about_ca_topic_score_gemma":0.0007095653,"domain_scores_codex":[0.9990543,0.0001370262,0.00007597156,0.0001562336,0.0005164411,0.0000601184],"domain_scores_gemma":[0.9996021,0.0001621555,0.00005186762,0.0000262607,0.0001283202,0.00002929028],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001159596,0.000254026,0.0003189,0.01968606,0.000174321,0.0006016794,0.0001469098,0.001830526,0.0705896,0.03031506,0.02862725,0.8473396],"study_design_scores_gemma":[0.00001913626,0.0001326125,0.0005246268,0.0008839563,0.00005017352,0.002392581,0.00005716753,0.0009653226,0.03247498,0.009647552,0.9527602,0.00009176595],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0007141121,0.9647523,0.0280138,0.0007088143,0.0004690601,0.00009591561,0.0001216707,0.0001897545,0.004934566],"genre_scores_gemma":[0.003605902,0.9734415,0.0187036,0.0005934521,0.0003732148,0.0001435749,0.0001720408,0.00003050324,0.002936263],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003913273,"threshold_uncertainty_score":0.008532941,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06479757224059426,"score_gpt":0.331549183403524,"score_spread":0.2667516111629297,"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."}}