{"id":"W4385246430","doi":"10.1021/acs.jmedchem.3c00464","title":"Computational Design of Potent and Selective <scp>d</scp>-Peptide Agonists of the Glucagon-like Peptide-2 Receptor","year":2023,"lang":"en","type":"article","venue":"Journal of Medicinal Chemistry","topic":"Diabetes Treatment and Management","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Canadian Institutes of Health Research; Government of Canada","keywords":"Chemistry; Glucagon-like peptide 1 receptor; Receptor; Peptide; Phosphorylation; Glucagon-like peptide-1; Protein kinase B; Agonist; Protein kinase A; Pharmacology; Biochemistry; Endocrinology; Biology; Diabetes mellitus; Type 2 diabetes","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":[0.0002075656,0.0006567736,0.000820905,0.0003100221,0.0002978869,0.000744023,0.000556179,0.0005363587,0.002599814],"category_scores_gemma":[0.0003150804,0.0002807185,0.0005746583,0.000277531,0.0002342039,0.0003522752,0.0004017762,0.0004799558,0.0004679059],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004071599,"about_ca_system_score_gemma":0.001111323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002042464,"about_ca_topic_score_gemma":0.003752541,"domain_scores_codex":[0.9999229,0.00001883399,0.000003975375,0.00001480212,0.00001705981,0.00002245576],"domain_scores_gemma":[0.9999335,0.00002823095,0.00001148965,0.000003639902,0.00001182083,0.00001145166],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007165204,0.0003891228,0.002986228,0.0008855187,0.00020123,0.0007755084,0.00004757211,0.8987365,0.03466108,0.01329595,0.004838338,0.0424664],"study_design_scores_gemma":[0.000323244,0.0006577342,0.000633265,0.00003682102,0.000136477,0.0001337068,0.0000937509,0.9759343,0.009263993,0.003365197,0.009395506,0.00002599121],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8248607,0.005609998,0.1198121,0.001153484,0.0003165661,0.0003964832,0.001653221,0.00101103,0.04518651],"genre_scores_gemma":[0.9126251,0.002300562,0.07829218,0.0005325347,0.00003884712,0.0004537863,0.001829279,0.0001426748,0.003785035],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002599814,"threshold_uncertainty_score":0.008697212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01541065152027944,"score_gpt":0.2512551072366971,"score_spread":0.2358444557164177,"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."}}