{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002044049,0.0001626577,0.0001988494,0.0001434796,0.0004832555,0.0001324971,0.0003693684,0.00004896193,0.0001247461],"category_scores_gemma":[0.00006536079,0.0001360281,0.00004492534,0.0008917661,0.001383347,0.0003031678,0.00008330651,0.00008489948,0.000003095311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005765582,"about_ca_system_score_gemma":0.00007574464,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001854225,"about_ca_topic_score_gemma":0.00001632747,"domain_scores_codex":[0.9987193,0.000002696891,0.0001840377,0.00049527,0.0002464086,0.0003523054],"domain_scores_gemma":[0.9990582,0.00003508825,0.0001157327,0.0004316311,0.0002626173,0.00009672084],"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":[0.00006954842,0.00001894303,0.00003645886,0.00003305566,0.00002776957,3.004878e-7,0.0003863236,0.00002402132,0.9780009,0.01940253,0.000004109666,0.001996035],"study_design_scores_gemma":[0.0002176341,0.00008930563,0.00002377384,0.00002845173,0.00003671995,0.000001553525,0.0004174697,0.001327683,0.9874317,0.009211545,0.000996743,0.0002174258],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4926719,0.00004534125,0.5034916,0.00009517858,0.00000611553,0.0005436788,0.00003532017,0.0001407636,0.002970109],"genre_scores_gemma":[0.7675772,0.00001204249,0.2302851,0.00001667415,0.00006686121,0.001303087,0.000004558667,0.00001302848,0.0007214433],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2749053,"threshold_uncertainty_score":0.5547065,"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."}}