{"id":"W2898632463","doi":"10.3390/nu10111644","title":"Targeting the DNA Repair Endonuclease ERCC1-XPF with Green Tea Polyphenol Epigallocatechin-3-Gallate (EGCG) and Its Prodrug to Enhance Cisplatin Efficacy in Human Cancer Cells","year":2018,"lang":"en","type":"article","venue":"Nutrients","topic":"Tea Polyphenols and Effects","field":"Medicine","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"National Institute of General Medical Sciences; National Cancer Institute; National Institutes of Health; American Cancer Society; Natural Sciences and Engineering Research Council of Canada; U.S. Department of Defense","keywords":"ERCC1; Epigallocatechin gallate; Prodrug; Cisplatin; Polyphenol; Chemistry; Gallate; Endonuclease; Green tea; Biochemistry; Pharmacology; Cancer research; DNA damage; Nucleotide excision repair; DNA; Medicine; Biology; Food science; Antioxidant; Chemotherapy; Genetics","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":[0.0001462503,0.0003611227,0.0003322237,0.0002377939,0.00008416449,0.0001995656,0.0002087453,0.0002924658,0.000518709],"category_scores_gemma":[0.00008407017,0.0001349755,0.0002801437,0.000199205,0.0001193973,0.0001358453,0.0001298876,0.0003880139,0.000179283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002502626,"about_ca_system_score_gemma":0.0002293632,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009240712,"about_ca_topic_score_gemma":0.001687368,"domain_scores_codex":[0.9999129,0.00001413091,0.00000986295,0.00001987827,0.00002228838,0.00002097274],"domain_scores_gemma":[0.9999686,0.000005874535,0.000008311699,0.000005049847,0.000005955158,0.000006175382],"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":[0.0001795072,0.00007528297,0.00006658097,0.00003776279,0.000007595795,0.00002170943,0.000009910063,0.0002825917,0.9971797,0.00003175209,0.00002473407,0.002082762],"study_design_scores_gemma":[0.00002887097,0.0006305639,0.0007443671,0.000001897896,0.00001722771,0.00006445755,0.000003817248,0.0004117043,0.9975027,0.000007229869,0.0005849164,0.000002102154],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945291,0.001830493,0.002467921,0.0000922067,0.0000226854,0.00009315491,0.0001995937,0.00006822278,0.0006966111],"genre_scores_gemma":[0.9944208,0.0009898727,0.00305471,0.00004496539,0.000004912878,0.0000416909,0.0002620889,0.0000111169,0.001169873],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009240712,"threshold_uncertainty_score":0.001837373,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01022469853570733,"score_gpt":0.2868457959732882,"score_spread":0.2766210974375809,"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."}}