{"id":"W1946893752","doi":"10.1093/protein/gzv033","title":"An<i>Escherichia coli</i>system for evolving improved light-controlled DNA-binding proteins","year":2015,"lang":"en","type":"article","venue":"Protein Engineering Design and Selection","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Research Canada; College of Family Physicians of Canada; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"DNA; Computational biology; DNA-binding protein; Escherichia coli; Protein engineering; Fluorescent protein; Chemistry; Biophysics; Transcription factor; Biology; Cell biology; Biochemistry; Gene; Green fluorescent protein","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":[0.0004526484,0.0008856294,0.0005837971,0.0004346997,0.0003712159,0.000598564,0.0009520085,0.0005813955,0.001153459],"category_scores_gemma":[0.0004448752,0.0003213731,0.0003600928,0.0004901109,0.0002993722,0.0003410939,0.0005126765,0.001218493,0.001293776],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004947086,"about_ca_system_score_gemma":0.000547916,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001428382,"about_ca_topic_score_gemma":0.002113672,"domain_scores_codex":[0.9994882,0.0001122938,0.00007551384,0.00008712603,0.0001624802,0.00007431269],"domain_scores_gemma":[0.9997019,0.0000631627,0.00008004085,0.00006203691,0.00003725292,0.00005552061],"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":[0.00003619488,0.00003894436,0.00007390708,0.00003715796,0.000004527833,0.0000373193,0.00001180758,0.00009792881,0.9975256,0.0003380479,0.0001782465,0.001620338],"study_design_scores_gemma":[0.000008047976,0.00005806048,0.00036673,0.000004917138,0.00001549889,0.0001840952,0.000007961864,0.000915641,0.9933174,0.00003875497,0.005072427,0.00001048186],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6804549,0.001461998,0.2920905,0.0009757374,0.0003583358,0.0008976009,0.005230265,0.007461591,0.01106898],"genre_scores_gemma":[0.7027286,0.001710178,0.2701079,0.0004631501,0.00003840212,0.0005844633,0.007328921,0.001445954,0.01559256],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001428382,"threshold_uncertainty_score":0.003858745,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008385636232611786,"score_gpt":0.2383533629872648,"score_spread":0.229967726754653,"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."}}