{"id":"W4415083622","doi":"10.1101/2025.10.10.681534","title":"Non-Carbohydrate Inhibitors of Sialic Acid-binding Immunomodulatory-type Lectin-7 (Siglec-7) Discovered from Genetically Encoded Bicyclic Peptide Libraries","year":2025,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Glycosylation and Glycoproteins Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Canadian Glycomics Network; Instituto de Salud Carlos III; Natural Sciences and Engineering Research Council of Canada; Agencia Estatal de Investigación; University of Alberta","keywords":"Glycan; Bicyclic molecule; Allosteric regulation; Surface plasmon resonance; Sialic acid; Panning (audio); Peptide; Binding site","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":[0.0001008786,0.000365082,0.0002524887,0.0002347322,0.00007853369,0.0002158751,0.0002013512,0.0001537433,0.0007146063],"category_scores_gemma":[0.0001279197,0.0001186447,0.0001690824,0.0001798731,0.0001326062,0.00007967331,0.000179428,0.0003412938,0.0002759126],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002638207,"about_ca_system_score_gemma":0.0001315463,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003747667,"about_ca_topic_score_gemma":0.001043369,"domain_scores_codex":[0.9999201,0.00001145635,0.000006013083,0.00001295402,0.00002470641,0.00002486881],"domain_scores_gemma":[0.999963,0.000005726081,0.000009899481,0.000004333615,0.000006409824,0.00001061855],"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":[0.000145475,0.00005456628,0.0002267005,0.00005167469,0.00001081271,0.00005171985,0.00001022238,0.001026681,0.9916609,0.0001361044,0.0001028742,0.006522323],"study_design_scores_gemma":[0.00005639661,0.001974241,0.002220837,0.00001180301,0.00003162436,0.0002986219,0.00001164663,0.003926344,0.9885125,0.0000719836,0.002873926,0.00001013725],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992649,0.001316775,0.003306926,0.00006654173,0.00002381798,0.000085827,0.0004567805,0.0001307312,0.001963619],"genre_scores_gemma":[0.9934388,0.0008126444,0.003470008,0.0000828883,0.000005999646,0.00004684042,0.0006448188,0.0000141902,0.001483722],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007146063,"threshold_uncertainty_score":0.002390563,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01114958854091961,"score_gpt":0.2361331728562104,"score_spread":0.2249835843152908,"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."}}