{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000249839,0.0004000833,0.000187413,0.0002834639,0.0001410327,0.0002569596,0.0002205027,0.0002332501,0.001301984],"category_scores_gemma":[0.0003157113,0.0001639642,0.0002056165,0.0002554924,0.0002473277,0.0002232833,0.0002148509,0.0005186005,0.0003943006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002546568,"about_ca_system_score_gemma":0.0003353701,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002894063,"about_ca_topic_score_gemma":0.0007390917,"domain_scores_codex":[0.9998195,0.00003091777,0.00001687662,0.00004214978,0.00005021906,0.0000404259],"domain_scores_gemma":[0.9997966,0.00004151812,0.00006180679,0.00003493713,0.00003103268,0.00003414676],"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":[0.00006661112,0.00002593762,0.00008534526,0.00003151222,0.000006768097,0.00006137019,0.00001514051,0.0003620949,0.9972451,0.0001811291,0.00003376184,0.001885329],"study_design_scores_gemma":[0.00001162817,0.0003812785,0.0003661399,0.00000249967,0.00000662164,0.0001013906,0.000005899161,0.0006170552,0.9969925,0.00002756326,0.001483099,0.000004235247],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9766827,0.0007714896,0.01826412,0.00007633123,0.00004696329,0.000231139,0.0005348363,0.0001788701,0.003213738],"genre_scores_gemma":[0.9733235,0.0007661616,0.02199793,0.000100886,0.00001771921,0.0001404497,0.0009489478,0.00008861128,0.002615722],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001301984,"threshold_uncertainty_score":0.00435555,"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."}}