{"id":"W2290526552","doi":"10.1016/j.jmgm.2016.02.010","title":"New design of nucleotide excision repair (NER) inhibitors for combination cancer therapy","year":2016,"lang":"en","type":"article","venue":"Journal of Molecular Graphics and Modelling","topic":"DNA Repair Mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":37,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Allard Foundation; University of Alberta; Alberta Cancer Foundation","keywords":"Xeroderma pigmentosum; Nucleotide excision repair; ERCC1; DNA repair; DNA damage; Biology; Cancer research; Cancer cell; Cancer; DNA; Computational biology; 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":[0.0003354106,0.0006876608,0.001038215,0.000324387,0.0003482397,0.00109682,0.0009180296,0.0006372802,0.004215414],"category_scores_gemma":[0.0002693086,0.0005680759,0.0005103584,0.0002683127,0.0002696879,0.0007692046,0.0004573567,0.001240867,0.001182886],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006640991,"about_ca_system_score_gemma":0.0004657206,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005090925,"about_ca_topic_score_gemma":0.00135966,"domain_scores_codex":[0.9998714,0.00002494979,0.000009507933,0.00002771505,0.00004008276,0.00002639637],"domain_scores_gemma":[0.9999385,0.00001724958,0.00001502197,0.000005812617,0.00001016299,0.00001326821],"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":[0.002450109,0.0008324333,0.0005990089,0.001619989,0.0002573677,0.000752383,0.0002069253,0.1077656,0.6913708,0.04461402,0.00786096,0.1416703],"study_design_scores_gemma":[0.002251969,0.003442342,0.0005498221,0.0001889886,0.0005833965,0.001023041,0.0001277933,0.2272614,0.5720112,0.01413311,0.1782186,0.0002081949],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5552437,0.04658792,0.336898,0.004148464,0.001247424,0.001122548,0.002075274,0.002275091,0.05040161],"genre_scores_gemma":[0.8227007,0.01833353,0.1422258,0.000706767,0.00008332886,0.000794019,0.0008632243,0.0002836933,0.01400888],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004215414,"threshold_uncertainty_score":0.01410198,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02489457631967303,"score_gpt":0.261363883596159,"score_spread":0.2364693072764859,"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."}}