{"id":"W2323397864","doi":"10.1002/cmdc.201600021","title":"Disarming an Electrophilic Warhead: Retaining Potency in Tyrosine Kinase Inhibitor (TKI)‐Resistant CML Lines While Circumventing Pharmacokinetic Liabilities","year":2016,"lang":"en","type":"article","venue":"ChemMedChem","topic":"Chronic Myeloid Leukemia Treatments","field":"Medicine","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Amgen (Canada); University of Toronto","funders":"National Cancer Institute; Canadian Institutes of Health Research; National Institutes of Health; Leukemia and Lymphoma Society","keywords":"Pharmacology; Chemistry; Tyrosine kinase; Tyrosine-kinase inhibitor; STAT protein; In vivo; STAT3; Kinome; Myeloid leukemia; Pharmacokinetics; Kinase; Cancer research; Medicine; Biochemistry; Biology; Signal transduction; Cancer; Internal medicine","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":[0.0001262507,0.0002671642,0.0001598612,0.000127597,0.00008291429,0.0001825644,0.0001527133,0.0001657819,0.000833353],"category_scores_gemma":[0.00008375697,0.00009093861,0.0001660005,0.0001149831,0.0001276821,0.0001902346,0.0001477456,0.0003005063,0.0002207341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001411223,"about_ca_system_score_gemma":0.0001239153,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002767879,"about_ca_topic_score_gemma":0.0004900278,"domain_scores_codex":[0.9999429,0.00000983822,0.000004249458,0.00001070306,0.00001308183,0.0000191677],"domain_scores_gemma":[0.9999542,0.000007283362,0.00001847088,0.000006549705,0.000005440756,0.000008035342],"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":[0.00009553848,0.0000329002,0.0001051566,0.00002587348,0.000004445667,0.00003572611,0.00001091446,0.0002019844,0.9958916,0.0001413856,0.00003452419,0.003419999],"study_design_scores_gemma":[0.00002559587,0.001250714,0.000953364,0.000003429811,0.00001341826,0.000171744,0.00001359874,0.0007279191,0.9948015,0.00004321506,0.001991149,0.000004348617],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959192,0.0005536454,0.002041494,0.00004944036,0.000008781259,0.00002073326,0.0001057338,0.00004443232,0.001256613],"genre_scores_gemma":[0.9959545,0.0006016374,0.001684542,0.00003663478,0.000005202273,0.00001476865,0.0001500908,0.000009069267,0.001543407],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000833353,"threshold_uncertainty_score":0.002787888,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02732307540160419,"score_gpt":0.2838871783152141,"score_spread":0.2565641029136099,"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."}}