{"id":"W4387806256","doi":"10.1021/acs.biomac.3c00603","title":"PEGylation of a Peptide-Based Amphiphilic Delivery Agent and Influence on Protein Delivery to Cells","year":2023,"lang":"en","type":"article","venue":"Biomacromolecules","topic":"RNA Interference and Gene Delivery","field":"Biochemistry, Genetics and Molecular Biology","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Feldan (Canada); Institut National de la Recherche Scientifique","funders":"Fonds de Recherche du Québec - Santé; Natural Sciences and Engineering Research Council of Canada","keywords":"PEGylation; Chemistry; Internalization; Biophysics; Endosome; Peptide; Amphiphile; Cell-penetrating peptide; Gene delivery; Cytotoxicity; Micelle; Cytosol; In vitro; Biochemistry; Polyethylene glycol; Transfection; Cell; Organic chemistry; Biology","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":[0.0001254496,0.0001800561,0.0001454691,0.0001807314,0.00006203842,0.00002719889,0.0001768807,0.000113419,0.000007252828],"category_scores_gemma":[0.00005356247,0.0001767343,0.0000810825,0.0002448516,0.00008029433,0.000005656703,0.0001202818,0.00004205536,0.00009212598],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001306914,"about_ca_system_score_gemma":0.00006320723,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009731882,"about_ca_topic_score_gemma":0.00003738799,"domain_scores_codex":[0.9988893,0.00005584708,0.0002324115,0.0004067614,0.0001773242,0.0002383218],"domain_scores_gemma":[0.9993368,0.00001568988,0.00008232918,0.0003153567,0.0001454041,0.00010443],"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":[0.0001862301,0.00004426687,0.0004905724,0.00004163261,0.00002631134,0.00001556145,0.00004573742,0.0005299217,0.9948904,0.00002084321,0.0008789134,0.00282964],"study_design_scores_gemma":[0.0003074619,0.0008595673,0.01143551,0.00009780213,0.000010882,0.000002298301,0.00003846378,0.0001707269,0.9854414,0.00003355939,0.0013971,0.0002052034],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989255,0.0001369319,0.0001928606,0.000159221,0.00004921925,0.0003564256,0.00006523313,0.00002923105,0.00008538174],"genre_scores_gemma":[0.9988416,0.00006760547,0.0003306785,0.0003712355,0.00004199777,0.00005336018,0.00008462291,0.00002106527,0.0001877758],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01094494,"threshold_uncertainty_score":0.7207018,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01211653124249516,"score_gpt":0.2405658201913928,"score_spread":0.2284492889488977,"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."}}