{"id":"W2330128624","doi":"10.1021/acs.jmedchem.5b01976","title":"Bifunctional Peptide-Based Opioid Agonist–Nociceptin Antagonist Ligands for Dual Treatment of Acute and Neuropathic Pain","year":2016,"lang":"en","type":"article","venue":"Journal of Medicinal Chemistry","topic":"Neuropeptides and Animal Physiology","field":"Neuroscience","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Clinical Research Institute","funders":"European Regional Development Fund; Canadian Institutes of Health Research; Centre National de la Recherche Scientifique; Université de Strasbourg; Ministerstwo Edukacji i Nauki; Narodowe Centrum Nauki; Ministerio de Economía y Competitividad; National Institute on Drug Abuse; Agence Nationale de la Recherche","keywords":"Nociceptin receptor; Chemistry; Neuropathic pain; Pharmacology; NOP; Opioid; Analgesic; Hyperalgesia; Pharmacophore; Agonist; Opioid receptor; Allodynia; Antagonist; Receptor; Opioid peptide; Nociception; Stereochemistry; Biochemistry; Medicine","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":[0.0001314812,0.0003953363,0.0003168719,0.0002096779,0.0001076503,0.0002183555,0.000372047,0.0003946202,0.001045323],"category_scores_gemma":[0.00007580782,0.0001143094,0.0002356125,0.0001711702,0.0001364268,0.0002282765,0.0002479893,0.0007179463,0.0003893416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002072516,"about_ca_system_score_gemma":0.0001033502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001595843,"about_ca_topic_score_gemma":0.0003520637,"domain_scores_codex":[0.9999033,0.00001437631,0.000006245676,0.00001562208,0.00003209673,0.00002845558],"domain_scores_gemma":[0.9999539,0.00000590198,0.00001414119,0.00000324141,0.000006984107,0.00001574786],"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":[0.00008819118,0.00005931756,0.00009848361,0.0001170189,0.00001232997,0.00007074632,0.00001066365,0.0001400095,0.9925699,0.0001373822,0.00008739704,0.006608661],"study_design_scores_gemma":[0.0001301652,0.003115788,0.004572317,0.00004834007,0.0001254598,0.001968566,0.00004701438,0.002555671,0.9697902,0.0001267093,0.01748737,0.00003234683],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9586482,0.0196204,0.01758288,0.0002820225,0.00008359914,0.0001988034,0.0005698958,0.0001275703,0.002886622],"genre_scores_gemma":[0.9682592,0.009371612,0.01807056,0.0002610338,0.00004062464,0.0002018623,0.0009437699,0.00001768646,0.002833701],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001045323,"threshold_uncertainty_score":0.003496945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02435332710631433,"score_gpt":0.2690800488947786,"score_spread":0.2447267217884643,"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."}}