{"id":"W2943958703","doi":"10.1101/629220","title":"Development of SGC-GAK-1 as an orally active in vivo probe for cyclin G associated kinase through cytochrome P450 inhibition","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Cancer-related Molecular Pathways","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of North Carolina at Chapel Hill; 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; Itä-Suomen Yliopisto; European Federation of Pharmaceutical Industries and Associations; Merck KGaA; Novartis Pharma; China Scholarship Council; Pfizer","keywords":"In vivo; Cytochrome P450; Microsome; Kinase; Cyclin; Chemistry; Biochemistry; Cytochrome; Pharmacology; Enzyme; Biology; Cell; Cell cycle","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":[0.0002646963,0.000414188,0.0002703278,0.000278985,0.0001554662,0.000246684,0.0002626134,0.0003645065,0.001346937],"category_scores_gemma":[0.0001224237,0.0001411234,0.0001934288,0.0001840653,0.0002901913,0.000221557,0.0001055977,0.0007578167,0.0004700705],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004646387,"about_ca_system_score_gemma":0.0002561905,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005343215,"about_ca_topic_score_gemma":0.0008260935,"domain_scores_codex":[0.9998996,0.00002268729,0.000004113427,0.00002335011,0.00002452049,0.00002560813],"domain_scores_gemma":[0.9999496,0.000009365402,0.00001436715,0.00000929424,0.000006352153,0.00001097082],"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":[0.00012271,0.00004919664,0.00005229873,0.0000309353,0.000005506145,0.0000329467,0.00001295032,0.0001756165,0.9968998,0.0003967428,0.0001391132,0.002082065],"study_design_scores_gemma":[0.00002503923,0.0003030795,0.0002351607,0.000001472463,0.000006329967,0.00006603398,0.000003485387,0.0003945902,0.9967812,0.0000420581,0.002139382,0.000002036358],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9542596,0.003265929,0.03273651,0.0006700436,0.0001557176,0.0003280547,0.001269278,0.000465625,0.006849138],"genre_scores_gemma":[0.9789004,0.001396754,0.01186645,0.00009466704,0.00002557231,0.0001017739,0.0007977076,0.00005177456,0.006765026],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001346937,"threshold_uncertainty_score":0.004505992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02119640628872295,"score_gpt":0.2637532145220645,"score_spread":0.2425568082333416,"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."}}