{"id":"W2059286008","doi":"10.1016/j.ymeth.2004.07.007","title":"Substrate-trapping techniques in the identification of cellular PTP targets","year":2004,"lang":"en","type":"article","venue":"Methods","topic":"Protein Tyrosine Phosphatases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":169,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; McGill University Health Centre","funders":"","keywords":"Mutant; Tyrosine; Phosphorylation; Cysteine; Serine; Immunoprecipitation; Protein tyrosine phosphatase; Phosphatase; Biochemistry; Residue (chemistry); Substrate (aquarium); Chemistry; Enzyme; Cell biology; Biology; Gene","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001392262,0.0000726445,0.00008346071,0.00003255877,0.00002575837,0.00001119519,0.0002231598,0.00007124334,0.000002993075],"category_scores_gemma":[0.0001729389,0.00005802104,0.00004223113,0.0001257213,0.00005640558,0.000003355203,0.00003182987,0.00005962711,0.000001089888],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007845695,"about_ca_system_score_gemma":0.00003069749,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005205476,"about_ca_topic_score_gemma":0.000006898769,"domain_scores_codex":[0.9992216,0.0001965822,0.0002407818,0.0001619349,0.00007099735,0.0001081098],"domain_scores_gemma":[0.9995233,0.0000155696,0.00009907538,0.0003152416,0.00003442769,0.00001241816],"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":[0.000008883008,0.00003325524,0.0001091261,0.0000150327,0.000005113859,0.000001357191,0.00005186261,0.00002773885,0.9928523,0.001876969,0.00004342959,0.004974875],"study_design_scores_gemma":[0.0001013245,0.00004767017,0.001591425,0.00001038189,0.000005534742,0.00000245193,0.00004014737,0.000004165456,0.991621,0.003520759,0.002990169,0.0000649904],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1720774,0.01141791,0.8154215,0.0002788519,0.00007437533,0.0003985484,0.00001326098,0.00001581141,0.000302267],"genre_scores_gemma":[0.8774272,0.00008904306,0.122242,0.00007409664,0.00003941064,0.00004953699,0.00005168514,0.000007842033,0.0000192361],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7053497,"threshold_uncertainty_score":0.2366029,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01966114714726544,"score_gpt":0.3420313336789396,"score_spread":0.3223701865316742,"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."}}