{"id":"W2406540431","doi":"10.1007/s00253-016-7615-4","title":"Optimal secretion of alkali-tolerant xylanase in Bacillus subtilis by signal peptide screening","year":2016,"lang":"en","type":"article","venue":"Applied Microbiology and Biotechnology","topic":"Bacterial Genetics and Biotechnology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":49,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Key Science and Technology Program of Shaanxi Province; National Health and Medical Research Council; Australian Research Council; Queensland Cyber Infrastructure Foundation; Griffith University; National Medical Research Council; Natural Science Foundation of Shaanxi Province; National Natural Science Foundation of China","keywords":"Cutinase; Bacillus subtilis; Signal peptide; Xylanase; Bacillus pumilus; Secretion; Biochemistry; Peptide; Biology; Enzyme; Peptide sequence; Bacteria; Genetics; Gene","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0003807282,0.000413428,0.0004034031,0.0002206873,0.0001702848,0.0006661139,0.0002022123,0.0003084492,0.0003297557],"category_scores_gemma":[0.0004493679,0.0002269339,0.0002894682,0.0002752148,0.000261154,0.0003203206,0.0003392352,0.0005986841,0.0002375748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002821164,"about_ca_system_score_gemma":0.0002659352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004650359,"about_ca_topic_score_gemma":0.000737431,"domain_scores_codex":[0.9996549,0.0000778866,0.00004434816,0.00004268721,0.0001273849,0.00005278632],"domain_scores_gemma":[0.9997281,0.00009974281,0.00005489028,0.00001967339,0.00004491274,0.00005260946],"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":[0.0001009287,0.00002527389,0.0001261005,0.00001593053,0.000001529861,0.00001674852,0.000009716755,0.0001249831,0.9988702,0.00001923175,0.00001111778,0.0006781468],"study_design_scores_gemma":[0.00001259439,0.000202868,0.000776025,0.000002712247,0.000006752144,0.00007899219,0.00002412089,0.001308226,0.9973692,0.00002039683,0.000192007,0.000006004061],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944096,0.0002986592,0.004747291,0.00007121568,0.000009523656,0.00002011393,0.0001251519,0.00004773577,0.0002705979],"genre_scores_gemma":[0.9908727,0.0003357085,0.007456377,0.00003892536,0.000007277026,0.00002318358,0.0005081341,0.0000283015,0.0007293902],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006661139,"threshold_uncertainty_score":0.002046943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004634486902723934,"score_gpt":0.1879821135105661,"score_spread":0.1833476266078422,"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."}}