{"id":"W1527960670","doi":"10.1111/j.1432-1033.2004.04085.x","title":"NMR solution structure of the precursor for carnobacteriocin B2, an antimicrobial peptide from <i>Carnobacterium piscicola</i>","year":2004,"lang":"en","type":"article","venue":"European Journal of Biochemistry","topic":"Probiotics and Fermented Foods","field":"Agricultural and Biological Sciences","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Fondation pour la Recherche Médicale; University of Alberta","keywords":"Bacteriocin; Peptide; Escherichia coli; Antimicrobial peptides; Chemistry; Random coil; Antimicrobial; Biochemistry; Nuclear magnetic resonance spectroscopy; Amino acid; Peptide sequence; Stereochemistry; Combinatorial chemistry; Protein secondary structure; Organic chemistry; Gene","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":[],"consensus_categories":[],"category_scores_codex":[0.0001846392,0.0001318665,0.0001701337,0.000005744685,0.0001159874,0.0000519341,0.0005062743,0.00005710019,0.00002495095],"category_scores_gemma":[0.00003814279,0.0000505011,0.0001919903,0.00009488853,0.00009113335,0.0000857557,0.00007766202,0.0001813543,8.139777e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003652939,"about_ca_system_score_gemma":0.00003381793,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001603389,"about_ca_topic_score_gemma":0.000012703,"domain_scores_codex":[0.9990869,0.00007881004,0.000364399,0.0001596071,0.000137227,0.0001730523],"domain_scores_gemma":[0.9991793,0.0000184571,0.0004783906,0.00009014933,0.0001435143,0.00009021464],"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":[0.00009169281,0.00007635046,0.0003985982,0.000011723,0.00002556714,0.000002422878,0.00007824389,0.00002041724,0.997495,0.000002396221,0.0003200983,0.00147752],"study_design_scores_gemma":[0.0005030055,0.0003470077,0.03611898,0.0001346038,0.00003894284,0.00003575201,0.00006484888,0.000002540008,0.9608778,0.0000706103,0.001689186,0.000116667],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981833,0.00006383724,0.00002684932,0.0007103404,0.0002486258,0.00009589146,0.0005235922,0.000007098467,0.0001405409],"genre_scores_gemma":[0.9983799,0.00001304508,0.00067054,0.0001533681,0.0006836028,1.579961e-7,0.00005720559,0.000002752058,0.00003946551],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03661712,"threshold_uncertainty_score":0.2059375,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008598014951345484,"score_gpt":0.1897246961650569,"score_spread":0.1811266812137114,"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."}}