{"id":"W3189927803","doi":"10.3389/fcimb.2021.707194","title":"A Computational Approach to Evaluate the Combined Effect of SARS-CoV-2 RBD Mutations and ACE2 Receptor Genetic Variants on Infectivity: The COVID-19 Host-Pathogen Nexus","year":2021,"lang":"en","type":"article","venue":"Frontiers in Cellular and Infection Microbiology","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of the Environment, Conservation and Parks","funders":"","keywords":"Infectivity; Ensembl; Biology; Virus; Mutation; Genetics; Virology; Protein Data Bank (RCSB PDB); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Viral entry; Gene; Coronavirus disease 2019 (COVID-19); Viral replication; Genome; Infectious disease (medical specialty); Disease; Medicine; Genomics","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":[0.0006536308,0.001093066,0.001369425,0.0008671312,0.000909465,0.0009601717,0.001303966,0.001425874,0.00404194],"category_scores_gemma":[0.002068552,0.0005586594,0.001197499,0.0007847194,0.0004089049,0.0004815575,0.0007882986,0.000974912,0.0003315598],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006205592,"about_ca_system_score_gemma":0.002039911,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01179083,"about_ca_topic_score_gemma":0.01160452,"domain_scores_codex":[0.9998009,0.00007128054,0.00001496093,0.00002952599,0.00004138563,0.00004198186],"domain_scores_gemma":[0.9992751,0.0004803024,0.00004809113,0.00004026454,0.00009005701,0.00006606014],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002804909,0.0002763092,0.006223689,0.0003478101,0.0002718538,0.0003766373,0.0001019921,0.9717943,0.003239385,0.006306939,0.002732689,0.008047982],"study_design_scores_gemma":[0.00005126445,0.00004976887,0.0005179851,0.00001071373,0.00003274426,0.00002485113,0.00002981277,0.9968791,0.0004878562,0.00123544,0.000671295,0.000009178088],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8526686,0.001418635,0.1174355,0.001435712,0.0003531335,0.0003579785,0.006658313,0.002745784,0.01692627],"genre_scores_gemma":[0.8961069,0.0006838543,0.09258892,0.0004023359,0.00008934486,0.0008481438,0.006153858,0.0004661062,0.002660578],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01179083,"threshold_uncertainty_score":0.02344435,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02983667569311121,"score_gpt":0.3168837968650937,"score_spread":0.2870471211719824,"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."}}