{"id":"W2900613415","doi":"10.1002/pro.3551","title":"Engineered SH2 domains with tailored specificities and enhanced affinities for phosphoproteome analysis","year":2018,"lang":"en","type":"article","venue":"Protein Science","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; Mount Sinai Hospital; Western University; University of Toronto; SickKids Foundation; Hospital for Sick Children","funders":"Canadian Institutes of Health Research","keywords":"SH2 domain; Proto-oncogene tyrosine-protein kinase Src; Proteome; Chemistry; Computational biology; Biochemistry; Affinities; FYN; Protein–protein interaction; Human proteome project; Biology; Phosphorylation; Proteomics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001732396,0.0003937292,0.0001830874,0.0001866939,0.0001120596,0.0002331628,0.0002481217,0.0003242222,0.0005954868],"category_scores_gemma":[0.0001252647,0.000125311,0.0001815468,0.000254314,0.0001492617,0.0001897241,0.0002763243,0.0004615691,0.0001993591],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002594136,"about_ca_system_score_gemma":0.00009100168,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003559661,"about_ca_topic_score_gemma":0.0006757518,"domain_scores_codex":[0.9998742,0.00001482057,0.000009601605,0.00002848662,0.0000382883,0.00003451336],"domain_scores_gemma":[0.9999348,0.00001257689,0.00001734556,0.000007618917,0.00001356611,0.00001403942],"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":[0.00003173403,0.00001256732,0.0001248309,0.00001335246,0.000004748522,0.00002216743,0.000007876371,0.0001313467,0.9989706,0.00004944923,0.00002081706,0.0006105876],"study_design_scores_gemma":[0.000007775555,0.00006916319,0.001268997,0.000001547355,0.00001240556,0.0001066248,0.000009896748,0.001496478,0.995611,0.00002993028,0.001381622,0.000004517987],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9881682,0.0003464625,0.01023641,0.00004662828,0.00001626937,0.00002976396,0.0003260804,0.00008000582,0.0007502456],"genre_scores_gemma":[0.9869757,0.000278723,0.01013752,0.00008424885,0.000006003698,0.00003798016,0.0007300723,0.00004510561,0.001704605],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.0005954868,"threshold_uncertainty_score":0.001992106,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01133655809557267,"score_gpt":0.257455696202683,"score_spread":0.2461191381071104,"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."}}