{"id":"W4410251593","doi":"10.1038/s41467-025-59677-3","title":"Structural basis of TMPRSS11D specificity and autocleavage activation","year":2025,"lang":"en","type":"article","venue":"Nature Communications","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Cancer Foundation; Canada's Michael Smith Genome Sciences Centre; Princess Margaret Cancer Centre; University of British Columbia; Spinal Cord Injury BC; Université de Sherbrooke; Structural Genomics Consortium; University of Toronto","funders":"Canadian Institutes of Health Research; Genentech; Mitacs; Killam Trusts; Wellcome Trust; Ontario Genomics Institute; European Federation of Pharmaceutical Industries and Associations; Merck KGaA; National Institutes of Health; U.S. Department of Health and Human Services; Ontario Genomics; Genome Canada; National Institute of Allergy and Infectious Diseases; Bayer; Natural Sciences and Engineering Research Council of Canada; Canadian Light Source; Pfizer","keywords":"Proteases; Protease; Serine protease; TMPRSS2; Cleave; Serine; Chemistry; Subtilisin; MASP1; Transmembrane protein; Biochemistry; Computational biology; Cell biology; Biology; Coronavirus disease 2019 (COVID-19); Enzyme; 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":[0.0001239984,0.0002422102,0.0001671643,0.00006959288,0.0001331606,0.0002656849,0.0001869557,0.0002579329,0.001097198],"category_scores_gemma":[0.0001134152,0.0001076919,0.0001763421,0.00005926108,0.0002639853,0.0001267439,0.0001439957,0.0003163672,0.0002621748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003589592,"about_ca_system_score_gemma":0.0003282956,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006482904,"about_ca_topic_score_gemma":0.0005312319,"domain_scores_codex":[0.9999061,0.00001829455,0.000007560058,0.00002163525,0.00002558486,0.00002091071],"domain_scores_gemma":[0.9999502,0.00000900015,0.00001722373,0.000004462439,0.000007478028,0.0000117312],"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":[0.0002286656,0.00002725609,0.0009221536,0.00006796607,0.000009307636,0.0003645935,0.00002879193,0.00098078,0.9931604,0.00177883,0.0001802826,0.002250991],"study_design_scores_gemma":[0.0001098384,0.0005976577,0.009239237,0.00001535758,0.00002137274,0.002714065,0.0000869084,0.009645712,0.9680109,0.0006704131,0.00887166,0.00001689636],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9855642,0.002091974,0.005311805,0.0004158868,0.00003583802,0.0000546794,0.0003686932,0.00006498252,0.006092051],"genre_scores_gemma":[0.9970894,0.0005936024,0.001379593,0.0000686243,0.000005616069,0.000009268203,0.0002271719,0.000004218124,0.0006224989],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001097198,"threshold_uncertainty_score":0.003670514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04995736879639532,"score_gpt":0.395409447446151,"score_spread":0.3454520786497557,"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."}}