{"id":"W2087285032","doi":"10.1016/j.ejmech.2014.12.033","title":"Synthesis and biological evaluation of compact, conformationally constrained bifunctional opioid agonist – Neurokinin-1 antagonist peptidomimetics","year":2014,"lang":"en","type":"article","venue":"European Journal of Medicinal Chemistry","topic":"Neuropeptides and Animal Physiology","field":"Neuroscience","cited_by":30,"is_retracted":false,"has_abstract":false,"ca_institutions":"Montreal Clinical Research Institute","funders":"Canadian Institutes of Health Research; National Institutes of Health; Vlaamse regering; National Institute on Drug Abuse; Fonds Wetenschappelijk Onderzoek","keywords":"Chemistry; Pharmacology; Neuropathic pain; Pharmacophore; Analgesic; Antagonist; Agonist; Opioid; In vivo; Morphine; Chronic pain; Stereochemistry; Receptor; Biochemistry; Medicine; Neuroscience; Psychology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002266852,0.0003042905,0.0003681326,0.0001325749,0.0001382841,0.000275085,0.0002656545,0.0003029309,0.0012462],"category_scores_gemma":[0.000224744,0.0001195188,0.0001491875,0.0001669793,0.0001711338,0.0002644448,0.0002155429,0.0005415954,0.0002704567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002879633,"about_ca_system_score_gemma":0.0001594182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003180875,"about_ca_topic_score_gemma":0.0006227128,"domain_scores_codex":[0.999874,0.00002096209,0.00001245039,0.0000211269,0.00003914173,0.0000323514],"domain_scores_gemma":[0.9999143,0.00001181454,0.00002873942,0.000006882688,0.00001065707,0.0000276282],"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":[0.0004118121,0.00008174119,0.00007160639,0.00008893025,0.0000133801,0.0001088787,0.00002152726,0.001216333,0.9933698,0.0002975714,0.00007610417,0.004242287],"study_design_scores_gemma":[0.0001961033,0.003297193,0.001301824,0.00001669751,0.00004609601,0.0004803887,0.00005099571,0.00383937,0.9846383,0.0001258411,0.005981192,0.00002594575],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917175,0.002286676,0.004142272,0.00008334572,0.00004196793,0.0000679993,0.0003692821,0.00003437759,0.001256634],"genre_scores_gemma":[0.991276,0.001219112,0.005615135,0.00005624013,0.00001215887,0.0000409327,0.0004651833,0.00001008479,0.001305214],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0012462,"threshold_uncertainty_score":0.004168987,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04961203921490986,"score_gpt":0.271290682032396,"score_spread":0.2216786428174862,"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."}}