{"id":"W4412838289","doi":"10.1039/d5md00440c","title":"A twist in the tale: shifting from covalent targeting of a tyrosine in JAK3 to a lysine in MK2","year":2025,"lang":"en","type":"article","venue":"RSC Medicinal Chemistry","topic":"Cytokine Signaling Pathways and Interactions","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Deutsche Krebshilfe; Deutschen Konsortium für Translationale Krebsforschung; China Scholarship Council; Studienstiftung des Deutschen Volkes; Structural Genomics Consortium; Eberhard Karls Universität Tübingen; European Federation of Pharmaceutical Industries and Associations; Evonik Stiftung; McGill University; Deutsches Zentrum für Infektionsforschung; Genome Canada; Innovative Medicines Initiative; Baden-Württemberg Stiftung; Bayer; Pfizer; Deutsche Forschungsgemeinschaft; Deutsches Krebsforschungszentrum; Bristol-Myers Squibb","keywords":"Lysine; Tyrosine; Twist; Chemistry; Covalent bond; Biochemistry; Amino acid; Organic chemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008018402,0.0004489883,0.0003304342,0.0001809704,0.0004748376,0.0008390445,0.0005000491,0.0005759778,0.002722283],"category_scores_gemma":[0.0006779504,0.000241187,0.0004260685,0.0001654305,0.001103251,0.001070485,0.001006449,0.001754725,0.0007276041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003307772,"about_ca_system_score_gemma":0.0004375894,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004172462,"about_ca_topic_score_gemma":0.0006805138,"domain_scores_codex":[0.9997758,0.0000467371,0.00001021978,0.00004131483,0.00006384447,0.00006195913],"domain_scores_gemma":[0.9998491,0.00004694069,0.00002323649,0.00002345512,0.00001934768,0.00003790701],"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":[0.001204728,0.0002406732,0.00140984,0.0009453294,0.0001346911,0.002088995,0.0009449093,0.01207219,0.8370241,0.05358849,0.006759377,0.08358667],"study_design_scores_gemma":[0.0002046921,0.003071148,0.001149638,0.000108757,0.000107827,0.001854032,0.0004334293,0.008015084,0.8711438,0.02385683,0.08993039,0.0001243918],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7817625,0.01212268,0.1579577,0.009470797,0.001809628,0.0003240098,0.0005386115,0.001657348,0.03435677],"genre_scores_gemma":[0.957473,0.004872167,0.0254885,0.002719281,0.0000854231,0.00008428309,0.0001484367,0.0001501918,0.008978843],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002722283,"threshold_uncertainty_score":0.009106994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01348223811414602,"score_gpt":0.3033406390539533,"score_spread":0.2898584009398073,"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."}}