{"id":"W3088504822","doi":"10.1074/jbc.ra120.015360","title":"Development and validation of a high-throughput whole cell assay to investigate Staphylococcus aureus adhesion to host ligands","year":2020,"lang":"en","type":"article","venue":"Journal of Biological Chemistry","topic":"Biochemical and Structural Characterization","field":"Biochemistry, Genetics and Molecular Biology","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Social Sciences and Humanities Research Council of Canada; Government of Canada; Canada Foundation for Innovation; J.P. Bickell Foundation","keywords":"Sortase; Bacterial adhesin; Cell adhesion; Sortase A; Adhesion; Biology; Staphylococcus aureus; Mutant; High-throughput screening; Fibronectin; Cell adhesion molecule; Cell biology; Microbiology; Computational biology; Genetics; Gene; Cell; Chemistry; Extracellular matrix; Escherichia coli; Bacteria","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":[0.002089009,0.001249111,0.001023841,0.0007292302,0.0004840149,0.001015598,0.0007206952,0.0009408981,0.001116105],"category_scores_gemma":[0.001312483,0.0003478787,0.0007266811,0.000492267,0.000408176,0.0004517647,0.0005726865,0.001252394,0.001427416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004335839,"about_ca_system_score_gemma":0.0007080231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001688025,"about_ca_topic_score_gemma":0.002360841,"domain_scores_codex":[0.9981098,0.0005884016,0.0001789195,0.0001957815,0.0007729011,0.0001541154],"domain_scores_gemma":[0.9987141,0.0003851509,0.00009043286,0.0002906167,0.0004033753,0.0001163622],"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":[0.00001952808,0.00005538539,0.0002601987,0.00002021418,0.000007720982,0.000009813428,0.000008109095,0.0001912346,0.9980141,0.0000649098,0.00005861015,0.001290121],"study_design_scores_gemma":[0.00001384772,0.000419876,0.004302112,0.000005857923,0.00003385428,0.0001308388,0.00002295437,0.005836341,0.987527,0.00008857909,0.00160187,0.00001673877],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5602692,0.001611112,0.4248066,0.0004885289,0.0002029748,0.001767372,0.00559973,0.00128947,0.003965064],"genre_scores_gemma":[0.6742675,0.001398673,0.305898,0.0002816221,0.00004896982,0.002318087,0.01039866,0.0001679873,0.005220584],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002089009,"threshold_uncertainty_score":0.01104784,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01914097496450557,"score_gpt":0.2270426932793438,"score_spread":0.2079017183148383,"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."}}