{"id":"W4293817200","doi":"10.1049/enb2.12024","title":"A curcumin direct protein biosensor for cell‐free prototyping","year":2022,"lang":"en","type":"article","venue":"Engineering Biology","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kensington Health","funders":"Engineering and Physical Sciences Research Council","keywords":"Biosensor; Synthetic biology; Curcumin; Fluorescence; Substrate (aquarium); Protein engineering; Green fluorescent protein; Cell-free protein synthesis; Chemistry; Combinatorial chemistry; Escherichia coli; Biochemistry; Cofactor; Cell-free system; Directed evolution; Nanotechnology; Enzyme; Computational biology; Biology; Protein biosynthesis; Materials science; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001944852,0.0001738312,0.0001575297,0.00007740461,0.0001122014,0.000008986358,0.0002815402,0.0000860223,0.00001985368],"category_scores_gemma":[0.0001417902,0.0001907179,0.00009181946,0.0001206836,0.0000185078,0.000001361435,0.0002344676,0.0001207565,0.000001901468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002266369,"about_ca_system_score_gemma":0.00003665993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005780262,"about_ca_topic_score_gemma":0.000001010656,"domain_scores_codex":[0.9990351,0.0000254992,0.0001726265,0.0003579156,0.00005273638,0.0003561529],"domain_scores_gemma":[0.9994885,0.00001812627,0.00003633698,0.0003693411,0.00003006926,0.00005767295],"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":[0.00004442514,0.00003214519,0.00008191848,0.00005815452,0.00002729963,0.000001165227,0.00002913969,0.008154717,0.9900766,0.0002295223,0.0007001352,0.0005647496],"study_design_scores_gemma":[0.0005939703,0.0005319996,0.00007143582,0.000004894482,0.000007914676,0.00001114569,0.00002093759,0.002148109,0.6157501,0.0000235815,0.3805835,0.0002524549],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8050757,0.00425105,0.1845071,0.0003024063,0.001054354,0.003217315,0.000337122,0.0002322645,0.001022689],"genre_scores_gemma":[0.9885341,0.000009006479,0.008389818,0.00004695661,0.0002947575,0.00182138,0.0001601818,0.00005261983,0.0006912038],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3798833,"threshold_uncertainty_score":0.7777249,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005680150741722711,"score_gpt":0.2730709440880348,"score_spread":0.2673907933463121,"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."}}