{"id":"W4415478914","doi":"10.1111/febs.70298","title":"Artificial lipidation of proteins and peptides: from mechanism to clinical applications","year":2025,"lang":"en","type":"article","venue":"FEBS Journal","topic":"Monoclonal and Polyclonal Antibodies Research","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"China Scholarship Council; Queen's University","keywords":"Lipid-anchored protein; Mechanism (biology); Posttranslational modification; Rational design; Peptide","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004068778,0.00006353998,0.0002032847,0.000130069,0.0001122392,0.00002541176,0.00007490058,0.00006148044,0.0001592303],"category_scores_gemma":[0.000167296,0.00004905211,0.00007530508,0.0001560718,0.00005511722,0.00003545644,0.00005924833,0.0002926622,0.00003752127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001798439,"about_ca_system_score_gemma":0.0001614989,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006203436,"about_ca_topic_score_gemma":0.000020687,"domain_scores_codex":[0.9990559,0.00005475259,0.0004137989,0.0001331336,0.0002191124,0.0001232831],"domain_scores_gemma":[0.9993372,0.0001281331,0.0000741103,0.0001136799,0.0001723204,0.000174574],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002730016,0.001030286,0.09551898,0.0002213876,0.0005341143,0.0000413794,0.0005547566,0.000007752674,0.2030956,0.05292487,0.01052084,0.63282],"study_design_scores_gemma":[0.002197411,0.002192491,0.4959241,0.001095706,0.0003354371,0.0001909887,0.0006049205,0.001083442,0.1125323,0.1718091,0.2116782,0.0003558983],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9565619,0.0001966063,0.03232633,0.008479747,0.0001677389,0.000532486,0.00002842132,0.00001005252,0.001696682],"genre_scores_gemma":[0.9823874,0.0002467819,0.0131631,0.000626963,0.001189496,0.00003369917,0.00001630527,0.000007074348,0.002329157],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6324641,"threshold_uncertainty_score":0.2000287,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05133903313245868,"score_gpt":0.4122518303391736,"score_spread":0.3609127972067149,"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."}}