{"id":"W4307502378","doi":"10.1021/acs.biomac.2c01192","title":"Overcoming PEG─Protein Mutual Repulsion to Improve the Efficiency of PEGylation","year":2022,"lang":"en","type":"article","venue":"Biomacromolecules","topic":"Cancer Research and Treatments","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University; Institut National de la Recherche Scientifique","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"PEGylation; Bioconjugation; Chemistry; Ethylene glycol; PEG ratio; Reagent; Lysozyme; Small molecule; Combinatorial chemistry; Biophysics; Biochemistry; Organic chemistry; Polyethylene glycol","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":[0.0002957261,0.0006113586,0.0002665373,0.0001751248,0.0001494271,0.0002685694,0.0002501927,0.0002684393,0.0007131341],"category_scores_gemma":[0.0002510956,0.0001397312,0.0001760374,0.0001483649,0.0002175714,0.0004272295,0.0004409166,0.0005219989,0.0002523994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000228828,"about_ca_system_score_gemma":0.0002119444,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000234417,"about_ca_topic_score_gemma":0.0005095631,"domain_scores_codex":[0.9998052,0.00003169086,0.00001783888,0.00004347942,0.00005374217,0.00004810521],"domain_scores_gemma":[0.9998965,0.00003551558,0.00003277126,0.000007842324,0.00001370915,0.00001364106],"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":[0.0000170724,0.00001332333,0.00004468502,0.00004096721,0.000003270562,0.00002633371,0.00001527434,0.00008425309,0.997965,0.0002184819,0.00002236802,0.001549005],"study_design_scores_gemma":[0.000003362456,0.00005106586,0.0002123101,0.000001722766,0.000004095546,0.00003792136,0.000004291125,0.0006383106,0.9979256,0.00002634649,0.00109272,0.000002352035],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9627106,0.001790001,0.03223121,0.0001674326,0.00003953255,0.00008479846,0.00005221582,0.0002117362,0.002712467],"genre_scores_gemma":[0.9853448,0.0009938136,0.01184574,0.00008599445,0.00001595417,0.00004342843,0.00007963804,0.00004839527,0.001542215],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007131341,"threshold_uncertainty_score":0.002385676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008506807722973313,"score_gpt":0.270217147953592,"score_spread":0.2617103402306187,"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."}}