{"id":"W2531742571","doi":"10.1021/acs.molpharmaceut.6b00738","title":"Optimization of Curcumin-Loaded PEG-PLGA Nanoparticles by GSH Functionalization: Investigation of the Internalization Pathway in Neuronal Cells","year":2016,"lang":"en","type":"article","venue":"Molecular Pharmaceutics","topic":"RNA Interference and Gene Delivery","field":"Biochemistry, Genetics and Molecular Biology","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Institut National de la Recherche Scientifique","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Internalization; Glutathione; PLGA; Chemistry; Surface modification; Curcumin; Conjugate; Drug delivery; Biophysics; Combinatorial chemistry; Nanotechnology; Biochemistry; Materials science; Organic chemistry; In vitro; Cell; Enzyme","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":[0.00021742,0.0004380686,0.0003604294,0.0001716098,0.0001403603,0.0002740551,0.0002056147,0.0003729823,0.0004474771],"category_scores_gemma":[0.0001730545,0.0001488629,0.00024513,0.0001686975,0.0001560496,0.0002775333,0.0001540577,0.0002626104,0.0002762469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004591041,"about_ca_system_score_gemma":0.0002397072,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002115892,"about_ca_topic_score_gemma":0.00295991,"domain_scores_codex":[0.9998682,0.00002108825,0.00001529232,0.0000370643,0.00003018685,0.00002825183],"domain_scores_gemma":[0.9999336,0.0000135325,0.00001607004,0.000005633593,0.00002033624,0.00001070243],"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":[0.00004558671,0.00002129716,0.00004174273,0.0000406628,0.000002946598,0.00002065139,0.00001810899,0.0001369972,0.9989859,0.00002196285,0.0000119532,0.0006520632],"study_design_scores_gemma":[0.000004632041,0.0001312384,0.0004937203,0.000002402787,0.000008378884,0.0000198386,0.00001277144,0.0006160716,0.9982218,0.000007244097,0.000477775,0.000004209814],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951217,0.0009795062,0.002844519,0.00005998681,0.00001716999,0.00006512563,0.0001601321,0.00005281201,0.0006990465],"genre_scores_gemma":[0.9922274,0.001029552,0.004784563,0.00003231395,0.000005789738,0.0001166618,0.000200278,0.00003410632,0.001569347],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002115892,"threshold_uncertainty_score":0.004207194,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01679586734709592,"score_gpt":0.2482107588190116,"score_spread":0.2314148914719157,"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."}}