{"id":"W3127757890","doi":"10.1038/s41589-020-00718-x","title":"Structure- and mechanism-guided design of single fluorescent protein-based biosensors","year":2021,"lang":"en","type":"review","venue":"Nature Chemical Biology","topic":"Advanced Fluorescence Microscopy Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":241,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Japan Society for the Promotion of Science; Canadian Institutes of Health Research; Ministry of Education, Culture, Sports, Science and Technology; Natural Sciences and Engineering Research Council of Canada; Government of Canada","keywords":"Biosensor; Mechanism (biology); Fluorescent protein; Fluorescence; Computational biology; Chemistry; Nanotechnology; Biophysics; Computer science; Green fluorescent protein; Biology; Biochemistry; Materials science; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0001368677,0.0006097638,0.001451042,0.0001112851,0.00003397851,0.0000126324,0.0004599818,0.003517063,0.00001763806],"category_scores_gemma":[0.0006131148,0.0004934529,0.0003044812,0.0002173063,0.0004080181,0.000001997286,0.0002997392,0.0008527765,7.537703e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000662961,"about_ca_system_score_gemma":0.0002790081,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001431764,"about_ca_topic_score_gemma":3.381113e-7,"domain_scores_codex":[0.9975573,0.0002738902,0.0006096744,0.001024513,0.0001128387,0.0004218001],"domain_scores_gemma":[0.9985259,0.00007098279,0.0004268251,0.0006584323,0.0002020447,0.0001158074],"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":[0.00002446324,0.00005653086,7.615702e-7,0.001565918,0.00008292822,0.000005362429,0.00000135216,2.359138e-7,0.9577175,0.0004191709,0.0002237815,0.03990203],"study_design_scores_gemma":[0.0001721061,0.0002147777,2.645518e-8,0.001549808,0.0001180228,0.00004321559,0.00000105951,0.000001815226,0.8554838,0.0004217811,0.1415937,0.0003999594],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0004370378,0.9845204,0.01345261,0.00002024546,0.0001129352,0.001121716,0.0002866763,0.00004033642,0.000007979223],"genre_scores_gemma":[0.001937823,0.8397686,0.1557514,0.0001489809,0.0002109482,0.0000953172,0.001962166,0.0001056309,0.00001910068],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.1447518,"threshold_uncertainty_score":0.9997517,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02300513927064488,"score_gpt":0.3295302188152273,"score_spread":0.3065250795445824,"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."}}