{"id":"W3196414932","doi":"10.1016/j.heliyon.2021.e07962","title":"Telaprevir is a potential drug for repurposing against SARS-CoV-2: computational and in vitro studies","year":2021,"lang":"en","type":"article","venue":"Heliyon","topic":"Computational Drug Discovery Methods","field":"Computer Science","cited_by":83,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Allergy and Infectious Diseases; Deanship of Scientific Research, King Saud University; National Research Council Canada; Imam Abdulrahman Bin Faisal University; National Institutes of Health; U.S. Department of Health and Human Services; Academy of Scientific Research and Technology; University of Dammam; National Research Centre","keywords":"Telaprevir; Drug repositioning; In silico; Boceprevir; Virology; Drug discovery; Pharmacology; Drug; Middle East respiratory syndrome coronavirus; Hepatitis C virus; Repurposing; Computational biology; Ribavirin; Biology; Virus; Medicine; Coronavirus disease 2019 (COVID-19); Bioinformatics; Biochemistry; Gene; Disease","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004657521,0.0001434048,0.0002508035,0.000129254,0.0001300327,0.0001722669,0.0001963701,0.00003445747,6.592649e-7],"category_scores_gemma":[0.0001947756,0.000152633,0.00008145584,0.0003552107,0.00005026633,0.0004113849,0.000348715,0.0001025812,0.000004192476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007774782,"about_ca_system_score_gemma":0.0001541889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002359841,"about_ca_topic_score_gemma":0.00000666915,"domain_scores_codex":[0.9984866,0.0001879541,0.0003188807,0.0005203539,0.0002649414,0.0002212226],"domain_scores_gemma":[0.9988639,0.0005766039,0.00008683057,0.0002099808,0.0002309004,0.00003183808],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003610325,0.0006530965,0.0004960879,0.002357173,0.000410815,0.0005434453,0.01596191,0.1935291,0.3289832,0.02067523,0.003819252,0.4322097],"study_design_scores_gemma":[0.001539056,0.00003127475,0.002338499,0.0004644097,0.00002006916,0.00009802426,0.0002625263,0.7473324,0.2034466,0.040458,0.003552901,0.0004562121],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5301884,0.01091559,0.4554448,0.002626799,0.0004052339,0.0002484796,0.00001795007,0.00005544548,0.0000973293],"genre_scores_gemma":[0.4123782,0.0006005001,0.5828829,0.003833368,0.000123902,0.00005134492,0.00002560101,0.00001812837,0.00008606437],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5538033,"threshold_uncertainty_score":0.6224195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04561972092762207,"score_gpt":0.3515889254453583,"score_spread":0.3059692045177362,"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."}}