{"id":"W4411006032","doi":"10.26434/chemrxiv-2025-sgmgl","title":"Aza-Isotryptophan: Synthesis, Pictet-Spengler Chemistry, Incorporation and Conformational Analysis in Peptides, and Activity in Modulators of the Cluster of Differentiation-36 Receptor","year":2025,"lang":"en","type":"preprint","venue":"ChemRxiv","topic":"Biochemical effects in animals","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds de recherche du Québec – Nature et technologies; Canadian Institutes of Health Research; Université de Montréal; Centre in Green Chemistry and Catalysis","keywords":"Chemistry; Receptor; Cluster (spacecraft); Stereochemistry; Biophysics; Combinatorial chemistry; Computational biology; Biochemistry; Biology; Computer science","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":[0.000321553,0.0004354074,0.0002078054,0.0002239624,0.0001743524,0.0002549802,0.0003098903,0.0003932678,0.001066573],"category_scores_gemma":[0.0001377357,0.0001564095,0.0001755826,0.0002542364,0.0002469365,0.0003767467,0.0001697192,0.0006437776,0.0005553],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002423539,"about_ca_system_score_gemma":0.0001606386,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001643156,"about_ca_topic_score_gemma":0.0001313008,"domain_scores_codex":[0.9998801,0.00003674433,0.000009635096,0.00002300026,0.00002819193,0.00002228384],"domain_scores_gemma":[0.9999256,0.00001117894,0.00002673678,0.00001387053,0.000007008136,0.00001555446],"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":[0.0001810294,0.00002882607,0.00004053815,0.00006297346,0.000005548403,0.00009133906,0.00002712714,0.0004303305,0.9955173,0.0006480756,0.0001176067,0.002849326],"study_design_scores_gemma":[0.00001240695,0.0002636622,0.0002147507,0.000002249738,0.000004935243,0.0002156439,0.00000397107,0.0003739193,0.9965432,0.0000453062,0.002314608,0.000005243248],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9570979,0.006470874,0.02761995,0.0003610382,0.00008663057,0.0002361097,0.001070186,0.0003032367,0.006754203],"genre_scores_gemma":[0.9653927,0.00411282,0.02423828,0.000107959,0.00003705469,0.0001329945,0.0006523765,0.00005401713,0.005271782],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001066573,"threshold_uncertainty_score":0.003567994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01029700800606566,"score_gpt":0.2500086791311419,"score_spread":0.2397116711250762,"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."}}