{"id":"W2994805141","doi":"10.1002/chem.201905054","title":"Monofluoroalkene‐Isostere as a <sup>19</sup>F NMR Label for the Peptide Backbone: Synthesis and Evaluation in Membrane‐Bound PGLa and (KIGAKI)<sub>3</sub>","year":2019,"lang":"en","type":"article","venue":"Chemistry - A European Journal","topic":"Antimicrobial Peptides and Activities","field":"Immunology and Microbiology","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; PROTEO","funders":"Natural Sciences and Engineering Research Council of Canada; Deutsche Forschungsgemeinschaft; Deutscher Akademischer Austauschdienst; Karlsruhe Institute of Technology; Alexander von Humboldt-Stiftung","keywords":"Isostere; Dipeptide; Peptide; Chemistry; Antimicrobial peptides; Stereochemistry; Side chain; Membrane; Amino acid; Nuclear magnetic resonance spectroscopy; Helix (gastropod); Cyclic peptide; Combinatorial chemistry; Organic chemistry; Biochemistry; Biology; Polymer","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":[0.0003785962,0.000303778,0.0001714209,0.0001452747,0.0001646548,0.0001847145,0.0002224399,0.000403928,0.0005798126],"category_scores_gemma":[0.0002663666,0.0001265654,0.0001360472,0.0001263024,0.0002861234,0.0002547717,0.0001637816,0.0003885312,0.0002642457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002644233,"about_ca_system_score_gemma":0.0002007395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001015561,"about_ca_topic_score_gemma":0.001163967,"domain_scores_codex":[0.9998571,0.00004133451,0.000006630022,0.00002828916,0.0000335158,0.00003310184],"domain_scores_gemma":[0.9998229,0.00004566709,0.00003877186,0.00001424869,0.0000321476,0.00004626161],"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":[0.00008149115,0.00002380975,0.00005298975,0.0000315502,0.000002097082,0.00002310244,0.00001653398,0.0001261633,0.9986631,0.0000299776,0.00001054932,0.0009385619],"study_design_scores_gemma":[0.000005503361,0.0002787983,0.0003534257,0.000002612642,0.000004336213,0.00005921779,0.000009488445,0.000241009,0.9984294,0.000006479469,0.0006066577,0.000003153155],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992453,0.001120998,0.005528375,0.00005147236,0.000007800389,0.00006780447,0.0001423416,0.00004412606,0.0005841225],"genre_scores_gemma":[0.9804628,0.001211382,0.01660103,0.00003590823,0.000006228774,0.0000621427,0.0002936137,0.00003364284,0.001293237],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001015561,"threshold_uncertainty_score":0.002019286,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01636991315508961,"score_gpt":0.2281162243303034,"score_spread":0.2117463111752138,"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."}}