{"id":"W2768465599","doi":"10.1021/acs.jmedchem.7b01525","title":"Design, Synthesis, and Biological Assessment of Biased Allosteric Modulation of the Urotensin II Receptor Using Achiral 1,3,4-Benzotriazepin-2-one Turn Mimics","year":2017,"lang":"en","type":"article","venue":"Journal of Medicinal Chemistry","topic":"Cardiovascular, Neuropeptides, and Oxidative Stress Research","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Université de Montréal; Institut National de la Recherche Scientifique","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Chemistry; Urotensin-II; Tripeptide; Allosteric regulation; Peptide; Stereochemistry; Potency; Receptor; Glycine; Vasoconstriction; Antagonist; In vivo; Amino acid; Biochemistry; In vitro; Endocrinology; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00131092,0.000150386,0.0007030152,0.00005862606,0.0001698335,0.000016796,0.0002728515,0.0001247947,0.00006398324],"category_scores_gemma":[0.002652265,0.00009175019,0.0002776518,0.00008075024,0.0005297298,0.00007883269,0.0001752532,0.000496151,1.055093e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008065499,"about_ca_system_score_gemma":0.000282031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001493592,"about_ca_topic_score_gemma":2.236655e-7,"domain_scores_codex":[0.9979618,0.0002110192,0.0006111589,0.0001664285,0.0008718809,0.0001776991],"domain_scores_gemma":[0.9976255,0.0002551414,0.0009819823,0.0004385432,0.0005445591,0.0001543215],"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":[0.0006192935,0.0001357421,0.01049262,0.0002472623,0.0002926719,0.00003541472,0.00005482697,0.00007059184,0.9841591,7.549456e-7,0.00006851146,0.003823229],"study_design_scores_gemma":[0.002395801,0.0005400236,0.2533669,0.001721027,0.0004229397,0.0006417736,0.0001660548,0.001813459,0.738695,0.00002008842,0.0001131654,0.0001037681],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967865,0.0006944716,0.001436888,0.0005776318,0.0001123724,0.0001896922,0.000009417472,0.000002521192,0.0001905241],"genre_scores_gemma":[0.9948375,0.0006835524,0.004001296,0.0000298828,0.0003962062,0.000001148754,0.000001835592,0.00001324137,0.00003533472],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.245464,"threshold_uncertainty_score":0.3741464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1385632687602541,"score_gpt":0.3610617902534115,"score_spread":0.2224985214931574,"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."}}