{"id":"W2619029305","doi":"10.1021/acs.bioconjchem.7b00075","title":"Coating Nanoparticles with Plant-Produced Transferrin–Hydrophobin Fusion Protein Enhances Their Uptake in Cancer Cells","year":2017,"lang":"en","type":"article","venue":"Bioconjugate Chemistry","topic":"Transgenic Plants and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"FP7 Ideas: European Research Council; Academy of Finland; Helsingin Yliopisto","keywords":"Chemistry; Hydrophobin; Transferrin; Cancer; Fusion protein; Nanoparticle; Coating; Cancer cell; Fusion; Nanotechnology; Biochemistry; Cancer research; Cell biology; Gene; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"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":[0.000095815,0.0001576903,0.0001567158,0.00009989877,0.00009064693,0.0001481588,0.0001068032,0.0002262056,0.0004616415],"category_scores_gemma":[0.00007181492,0.00007896323,0.0001355011,0.00007686508,0.0001057179,0.0001280673,0.0001249022,0.0001811526,0.0002000224],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002514981,"about_ca_system_score_gemma":0.0001013471,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001109162,"about_ca_topic_score_gemma":0.001446616,"domain_scores_codex":[0.9999506,0.000007836297,0.000002610197,0.000009695286,0.00001444383,0.00001476143],"domain_scores_gemma":[0.9999626,0.00001053822,0.000006362233,0.000004283427,0.000008754723,0.000007608049],"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":[0.000009578672,0.000002985561,0.00002950529,0.000008136883,0.000001194667,0.00001120529,0.000006436762,0.00003436403,0.9994782,0.00002573497,0.00001066197,0.0003821097],"study_design_scores_gemma":[0.000002162572,0.00004713517,0.0007264159,0.000001029992,0.000004853121,0.00004428612,0.000007106439,0.0007136124,0.9978015,0.000007918429,0.0006424717,0.000001504847],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943503,0.0005695581,0.003783111,0.00006342398,0.000009596853,0.00001459147,0.00004256907,0.00006617649,0.001100826],"genre_scores_gemma":[0.9960001,0.0003033493,0.002250281,0.00002316156,0.000003254984,0.000009604209,0.00006331697,0.00001286894,0.001334048],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001109162,"threshold_uncertainty_score":0.002205431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01872330363312617,"score_gpt":0.2471440468944305,"score_spread":0.2284207432613043,"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."}}