{"id":"W4401693954","doi":"10.1021/acsptsci.4c00236","title":"Design, Synthesis, and <i>In Vitro</i> Characterization of Proteolytically-Stable Opioid-Neurotensin Hybrid Peptidomimetics","year":2024,"lang":"en","type":"article","venue":"ACS Pharmacology & Translational Science","topic":"Neuropeptides and Animal Physiology","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Faculty of Medicine and Health, University of Sydney; Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Université de Sherbrooke; Vlaamse regering; Vrije Universiteit Brussel; Fonds de Recherche du Québec - Santé; Fonds Wetenschappelijk Onderzoek; Canada Research Chairs","keywords":"Neurotensin; Peptidomimetic; In vitro; Characterization (materials science); Chemistry; Opioid; Neuropeptide; Materials science; Biochemistry; Nanotechnology; Peptide; Receptor","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":[0.0001616033,0.000247756,0.000207365,0.00006539164,0.00009695136,0.0002669229,0.0001997453,0.0001962375,0.0007103138],"category_scores_gemma":[0.0001564073,0.0001099556,0.0001439637,0.00008563583,0.0001371599,0.0001420984,0.0001123148,0.0003097694,0.0002726746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000311206,"about_ca_system_score_gemma":0.0001140752,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003888063,"about_ca_topic_score_gemma":0.0007587333,"domain_scores_codex":[0.9999123,0.00001547419,0.000009126318,0.00001467342,0.00003098966,0.00001735437],"domain_scores_gemma":[0.9999142,0.00001621315,0.00003505234,0.000005996286,0.00001205297,0.00001653094],"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":[0.0000502539,0.00001627544,0.00004877013,0.00002420039,0.000003524198,0.00002404215,0.000007096137,0.0003574986,0.9987419,0.00003010038,0.00001430759,0.0006819861],"study_design_scores_gemma":[0.000012585,0.0003561152,0.0006059493,0.000002257224,0.000009325887,0.00008050138,0.00001243822,0.0009391854,0.9967205,0.000008196846,0.001248599,0.000004361532],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9911918,0.000718236,0.006376991,0.00004231238,0.00001562652,0.00009696935,0.0003244068,0.00003653522,0.001197051],"genre_scores_gemma":[0.979119,0.0008211347,0.01685564,0.00005780708,0.000009786478,0.0001003589,0.000658419,0.00002410672,0.002353672],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007103138,"threshold_uncertainty_score":0.002376199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02795201620552448,"score_gpt":0.2824816904750659,"score_spread":0.2545296742695414,"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."}}