{"id":"W3128320465","doi":"10.1101/2021.02.07.430123","title":"Selection and structural characterisation of anti-TREM2 scFvs that reduce levels of shed ectodomain","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neuroinflammation and Neurodegeneration Mechanisms","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ontario Ministry of Economic Development and Innovation; Novartis Pharma; Wellcome Trust; Eisai; European Federation of Pharmaceutical Industries and Associations; Merck KGaA; Ministero dello Sviluppo Economico; Fundação de Amparo à Pesquisa do Estado de São Paulo; Diamond Light Source; Genome Canada; Pfizer","keywords":"TREM2; Ectodomain; Neuroprotection; Neurodegeneration; Chemistry; Receptor; Phage display; Microglia; HEK 293 cells; Epitope; Cell biology; Computational biology; Biology; Biochemistry; Neuroscience; Antibody; Genetics; Immunology; Peptide; Medicine; Disease; Inflammation","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002165515,0.0002454841,0.0002034144,0.0001488393,0.0001199672,0.0003380585,0.0002262678,0.0002794903,0.0006944279],"category_scores_gemma":[0.0002222514,0.0001211691,0.0002061646,0.0001754611,0.000152153,0.0001220155,0.0001559129,0.0004443111,0.0002721635],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002979766,"about_ca_system_score_gemma":0.000106389,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007305344,"about_ca_topic_score_gemma":0.0006419166,"domain_scores_codex":[0.9998436,0.0000281046,0.00001508982,0.00002235267,0.00005160204,0.00003912621],"domain_scores_gemma":[0.9998854,0.00002671243,0.00002296109,0.00001528955,0.00002328378,0.00002633551],"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":[0.00005099749,0.00002903398,0.0001438491,0.000008283178,0.000004042886,0.00003162061,0.00000928782,0.000178271,0.9990036,0.00004702381,0.00002776821,0.0004663351],"study_design_scores_gemma":[0.00001690721,0.0001972094,0.001922978,0.000002442372,0.000009204397,0.0001910792,0.00001518665,0.001900505,0.9942732,0.00001839062,0.00144972,0.000003016525],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965828,0.0001913589,0.002389311,0.00004164815,0.00001035104,0.00002277547,0.000298257,0.00001680418,0.0004468348],"genre_scores_gemma":[0.9931905,0.0001422466,0.004025608,0.00006922037,0.00000547756,0.00002298724,0.001069861,0.00002618786,0.001448033],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007305344,"threshold_uncertainty_score":0.002323091,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03840598003748828,"score_gpt":0.2465765492602424,"score_spread":0.2081705692227541,"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."}}