{"id":"W4205283109","doi":"10.1002/pep2.24254","title":"Head‐to‐tail cyclization of side chain‐protected linear peptides to recapitulate genetically‐encoded cyclized peptides","year":2022,"lang":"en","type":"article","venue":"Peptide Science","topic":"Chemical Synthesis and Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Institute for Research in Immunology and Cancer","funders":"Canadian Institutes of Health Research; Wellcome Trust; Genome Canada","keywords":"Intein; Cyclic peptide; Native chemical ligation; Peptide; Chemistry; Protein splicing; Solid-phase synthesis; Cysteine; Side chain; Chemical ligation; Protein tag; Combinatorial chemistry; Biochemistry; Computational biology; Biology; Alternative splicing; RNA splicing; Fusion protein; Recombinant DNA; 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":[0.0008845642,0.0002235648,0.0003233508,0.000233161,0.0004128231,0.00004457914,0.000843033,0.00006164827,0.0001312879],"category_scores_gemma":[0.001224513,0.0002183886,0.0001799755,0.001540525,0.0002856337,0.00001111024,0.0008061285,0.0001291128,0.00002782291],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007330364,"about_ca_system_score_gemma":0.000178203,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001783596,"about_ca_topic_score_gemma":0.00009308956,"domain_scores_codex":[0.9972718,0.000106426,0.0004985725,0.0008732643,0.0007240139,0.0005258755],"domain_scores_gemma":[0.9985101,0.00003998222,0.0001613335,0.0006600171,0.0002789085,0.0003496909],"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":[0.00009295039,0.00008779733,0.0009172707,0.00001148046,0.0000188256,0.00000164675,0.0001520771,0.008989135,0.9866768,0.00005133124,0.0001987684,0.002801969],"study_design_scores_gemma":[0.0002846101,0.0003362143,0.004272869,0.00002560789,0.00002720442,0.000006793892,0.0001905236,0.002819131,0.9863952,0.0001718754,0.005125764,0.0003441437],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932263,0.00008167702,0.004332347,0.0009304986,0.00006544338,0.0003695192,0.00003752593,0.00003046292,0.0009261696],"genre_scores_gemma":[0.9829214,0.00003176153,0.01524267,0.0007293253,0.000111799,0.0001126964,0.00003496887,0.00002652327,0.0007888764],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01091032,"threshold_uncertainty_score":0.8905628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01291250366183559,"score_gpt":0.2775136022518279,"score_spread":0.2646010985899923,"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."}}