{"id":"W2165831983","doi":"10.1002/pola.20472","title":"Poly(ethyleneimine)/arginine–glycine–aspartic acid conjugates prepared with <i>N</i>‐succinimidyl 3‐(2‐pyridyldithio)propionate: An investigation of peptide coupling and conjugate stability","year":2004,"lang":"en","type":"article","venue":"Journal of Polymer Science Part A Polymer Chemistry","topic":"RNA Interference and Gene Delivery","field":"Biochemistry, Genetics and Molecular Biology","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Canadian Institutes of Health Research; Alberta Heritage Foundation for Medical Research","keywords":"Chemistry; Aspartic acid; Peptide; Cysteine; Conjugate; Cystamine; Cationic polymerization; Glycine; Amino acid; Propionate; Serine; Polymer chemistry; Stereochemistry; Combinatorial chemistry; Organic chemistry; Biochemistry","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":[0.0004356443,0.0003653124,0.0002125057,0.0001471182,0.0001364851,0.0002730338,0.0001460654,0.0004046595,0.0004877167],"category_scores_gemma":[0.0003657633,0.0001864246,0.0002137917,0.0001660005,0.000202636,0.0002543188,0.0001168325,0.0002524639,0.0001980546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002113547,"about_ca_system_score_gemma":0.00009647611,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003822762,"about_ca_topic_score_gemma":0.0003827539,"domain_scores_codex":[0.999822,0.00004638013,0.00002226237,0.00003767813,0.00004401131,0.00002769698],"domain_scores_gemma":[0.9997675,0.00006241961,0.00007253996,0.00001615356,0.00004780915,0.00003363152],"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":[0.00004500928,0.000008608476,0.00007577797,0.0000128038,0.000004261118,0.00001836137,0.00001187637,0.00004157377,0.9994636,0.000009584381,0.000003190231,0.0003053774],"study_design_scores_gemma":[0.000005110275,0.0002622584,0.0006545077,0.000001189278,0.000007512341,0.0000288891,0.000004747011,0.0003262782,0.9985574,0.000004264996,0.0001454425,0.000002435753],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977366,0.0003801631,0.001481503,0.00001264691,0.000008314132,0.00001455749,0.00003418095,0.00001204128,0.0003201083],"genre_scores_gemma":[0.996146,0.0002664096,0.002715155,0.00001768159,0.000004242011,0.00001712249,0.00008989091,0.00001300717,0.0007305776],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004877167,"threshold_uncertainty_score":0.002303958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01296553409169054,"score_gpt":0.2389083723451471,"score_spread":0.2259428382534565,"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."}}