{"id":"W4406452864","doi":"10.1101/2025.01.13.632788","title":"Species Dependent Metabolism of a Covalent nsP2 Protease Inhibitor with <i>in Vivo</i> Anti-alphaviral Activity","year":2025,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Biochemical and Molecular Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Genentech; Ontario Genomics; National Institutes of Health; Ontario Genomics Institute; European Federation of Pharmaceutical Industries and Associations; Merck KGaA; Genome Canada; Pharmaron; McGill University; Bayer; Pfizer; Bristol-Myers Squibb","keywords":"In vivo; Metabolism; Chemistry; Protease inhibitor (pharmacology); Covalent bond; Biochemistry; Pharmacology; Biology; Virology; Virus; 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":[0.0002634997,0.0005144437,0.0002051811,0.0001578421,0.0001107446,0.0002652708,0.0002811993,0.0002625002,0.008012961],"category_scores_gemma":[0.0001648163,0.0001128271,0.000277943,0.0001382203,0.00009934579,0.0002350887,0.0001069397,0.0005681223,0.001439543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003004178,"about_ca_system_score_gemma":0.0002245953,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005244408,"about_ca_topic_score_gemma":0.0005553796,"domain_scores_codex":[0.9999018,0.00001577013,0.000003042592,0.00002398382,0.00002991973,0.00002544853],"domain_scores_gemma":[0.9999409,0.000009445762,0.00002585365,0.00000757035,0.000007671312,0.000008554671],"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":[0.001009757,0.00008169306,0.0004258265,0.0003357372,0.00005225355,0.0001297001,0.00002638867,0.001257326,0.9771034,0.00108532,0.002959277,0.01553342],"study_design_scores_gemma":[0.00004510494,0.0007461198,0.001591187,0.00002044678,0.00002859311,0.0002133704,0.00001066362,0.00257441,0.9833654,0.0001921705,0.01120099,0.0000115228],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9061031,0.01085323,0.03239826,0.001258764,0.0005721069,0.0003248462,0.01342265,0.001467061,0.03360001],"genre_scores_gemma":[0.9624409,0.003591417,0.006927231,0.0002331394,0.0000539992,0.00008416826,0.003807436,0.0001022689,0.02275941],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008012961,"threshold_uncertainty_score":0.026806,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01065570326628763,"score_gpt":0.232170662340145,"score_spread":0.2215149590738574,"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."}}