{"id":"W4288751769","doi":"10.1038/s41598-022-15552-5","title":"Optimization of the 4-anilinoquin(az)oline scaffold as epidermal growth factor receptor (EGFR) inhibitors for chordoma utilizing a toxicology profiling assay platform","year":2022,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Protein Degradation and Inhibitors","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Division of Chemistry; Biocenter Finland; Ministero dello Sviluppo Economico; Genome Canada; Fundação de Amparo à Pesquisa do Estado de São Paulo; Ontario Ministry of Economic Development and Innovation; Wellcome Trust; Itä-Suomen Yliopisto; European Federation of Pharmaceutical Industries and Associations; Merck KGaA; Pfizer; University of North Carolina at Chapel Hill; Chordoma Foundation; Novartis Pharma; China Scholarship Council; National Science Foundation","keywords":"Gefitinib; Afatinib; Erlotinib; EGFR inhibitors; Epidermal growth factor receptor; Lapatinib; Cancer research; Scaffold; Chemistry; Biology; Receptor; Medicine; Biochemistry; Cancer; Genetics","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":[0.0002985371,0.0005155077,0.0002983772,0.0003093512,0.0001219629,0.0003054473,0.0003115025,0.0002352587,0.0009618454],"category_scores_gemma":[0.0002018998,0.0001212417,0.0002233205,0.0001881195,0.0001915109,0.0002316696,0.000264925,0.0003117363,0.0002911299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003022366,"about_ca_system_score_gemma":0.0002882116,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005340289,"about_ca_topic_score_gemma":0.00183102,"domain_scores_codex":[0.9997944,0.00004611595,0.00001620697,0.00003386723,0.00007132081,0.00003810167],"domain_scores_gemma":[0.9998875,0.00002159304,0.00003053473,0.000009448951,0.00003089685,0.00002010546],"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":[0.0001467275,0.0001201378,0.0002180999,0.00008106951,0.000009734759,0.0001336998,0.00002673389,0.002421458,0.9925063,0.0001425473,0.0000963472,0.004097107],"study_design_scores_gemma":[0.00004999692,0.002852844,0.001067596,0.00001041876,0.00002059983,0.0002605976,0.00003942414,0.002062807,0.9905219,0.00007216921,0.003026291,0.00001537879],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9828478,0.001214182,0.01030355,0.0001612026,0.00002156992,0.00033093,0.0007340288,0.0001290524,0.004257675],"genre_scores_gemma":[0.9852058,0.001340534,0.01066047,0.00007275724,0.00000620138,0.00008594689,0.0005658949,0.00002708962,0.002035177],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009618454,"threshold_uncertainty_score":0.003217697,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0175423633137492,"score_gpt":0.2566396367119733,"score_spread":0.2390972733982241,"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."}}