{"id":"W2768354572","doi":"10.1016/j.bbrc.2017.11.158","title":"Structural insights into the oligomerization of FtsH periplasmic domain from Thermotoga maritima","year":2017,"lang":"en","type":"article","venue":"Biochemical and Biophysical Research Communications","topic":"Enzyme Production and Characterization","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Research Foundation of Korea; Gwangju Institute of Science and Technology; Geomembrane Technologies","keywords":"Thermotoga maritima; Periplasmic space; Domain (mathematical analysis); Cell biology; Biology; Chemistry; Computational biology; Biochemistry; Gene; Escherichia coli; Mathematics","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":[0.0001003953,0.0002674127,0.0001546235,0.0001250697,0.000291737,0.0002974878,0.0002053639,0.0002759579,0.0006491634],"category_scores_gemma":[0.0001365153,0.000131432,0.0002411489,0.0001456867,0.0001845177,0.0003255429,0.0001607633,0.0006526604,0.0002081703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003541152,"about_ca_system_score_gemma":0.0003110678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001397457,"about_ca_topic_score_gemma":0.001351532,"domain_scores_codex":[0.9999707,0.000003682011,0.000002900392,0.000007218604,0.000007380865,0.000008175897],"domain_scores_gemma":[0.9999162,0.00001714895,0.00002231472,0.00000851768,0.00001267394,0.00002321563],"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":[0.0002499907,0.0000862961,0.001558968,0.0000600233,0.000009644056,0.0004258853,0.000232871,0.0005306061,0.9939045,0.0006165031,0.00009931462,0.00222545],"study_design_scores_gemma":[0.00005220996,0.0003402044,0.05642218,0.00004066751,0.00008854911,0.001554953,0.001487737,0.01189114,0.9168292,0.00144262,0.009806313,0.00004438136],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99841,0.0002974289,0.0007877926,0.0001013835,0.000009411587,0.000004172768,0.0000554833,0.00001545074,0.0003188884],"genre_scores_gemma":[0.9976999,0.0003205691,0.0009148403,0.00005817533,0.000007262217,0.000004696201,0.0003250006,0.000009202076,0.0006603685],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001397457,"threshold_uncertainty_score":0.00277859,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04235671512693254,"score_gpt":0.3456712697520432,"score_spread":0.3033145546251106,"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."}}