{"id":"W2595281090","doi":"10.3389/fpls.2017.00293","title":"Development of SyneBrick Vectors As a Synthetic Biology Platform for Gene Expression in Synechococcus elongatus PCC 7942","year":2017,"lang":"en","type":"article","venue":"Frontiers in Plant Science","topic":"Photosynthetic Processes and Mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":69,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Korea Carbon Capture and Sequestration R and D Center; Petroleum Technology Research Centre; National Research Foundation of Korea; Ministry of Oceans and Fisheries; Ministry of Science, ICT and Future Planning; National Research Foundation","keywords":"Lac repressor; Inducer; Gene expression; Synthetic biology; Gene; lac operon; Biology; TetR; Metabolic engineering; Reporter gene; Expression vector; Promoter; Regulation of gene expression; Genetics; Repressor; Computational biology; Molecular biology","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":[0.0007350844,0.0009342488,0.0006352627,0.0005447735,0.0002870141,0.0005726516,0.0005948223,0.0004599986,0.001099193],"category_scores_gemma":[0.0003657497,0.0006216511,0.0004966259,0.0004807376,0.0002960181,0.0004256887,0.0005797731,0.001088585,0.001496341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004321219,"about_ca_system_score_gemma":0.0004904393,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007063794,"about_ca_topic_score_gemma":0.0009861947,"domain_scores_codex":[0.9993653,0.00008994324,0.00009393566,0.000137935,0.0002294423,0.0000835274],"domain_scores_gemma":[0.9997168,0.00004910406,0.00007583079,0.00003714275,0.00006522339,0.00005589822],"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":[0.00004428671,0.00003355105,0.00008854888,0.00009173839,0.000008135927,0.00008956354,0.00004119756,0.0003231465,0.9951768,0.0004010382,0.000165988,0.003535999],"study_design_scores_gemma":[0.00002180514,0.0001703811,0.0007460795,0.0000214192,0.00002080599,0.0002755246,0.00003694443,0.002049158,0.9822205,0.0001075832,0.01430877,0.00002104805],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6544502,0.003217192,0.3269663,0.0003642447,0.0002985457,0.001328608,0.004622099,0.002493121,0.006259728],"genre_scores_gemma":[0.6916779,0.004187687,0.261219,0.0002484635,0.00005135095,0.001395324,0.02113589,0.001385841,0.01869861],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001099193,"threshold_uncertainty_score":0.003887594,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01408136899173996,"score_gpt":0.2663314159488528,"score_spread":0.2522500469571128,"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."}}