{"id":"W4286816991","doi":"10.1021/acs.jcim.2c00500","title":"Targeting the Receptor-Binding Motif of SARS-CoV-2 with D-Peptides Mimicking the ACE2 Binding Helix: Lessons for Inhibiting Omicron and Future Variants of Concern","year":2022,"lang":"en","type":"article","venue":"Journal of Chemical Information and Modeling","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Canadian Institutes of Health Research; National Research Foundation of Korea","keywords":"Peptide; Coronavirus disease 2019 (COVID-19); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); In vitro; Binding site; Receptor; Chemistry; Monoclonal antibody; 2019-20 coronavirus outbreak; Plasma protein binding; Antibody; Virology; Molecular biology; Biology; Biochemistry; Genetics; Medicine; Infectious disease (medical specialty)","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":[0.0003113003,0.0004026988,0.0003734248,0.0001113209,0.0001369486,0.000521824,0.0003296329,0.000347515,0.0007526076],"category_scores_gemma":[0.000182073,0.0001760015,0.0002983533,0.0001248551,0.0002830739,0.000526075,0.0002143567,0.00101497,0.0003107518],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003522569,"about_ca_system_score_gemma":0.0003481507,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000880772,"about_ca_topic_score_gemma":0.001622215,"domain_scores_codex":[0.9999282,0.000015051,0.000004686807,0.00001057777,0.00001829073,0.00002329506],"domain_scores_gemma":[0.9999492,0.000009911833,0.0000131879,0.000004032482,0.000009375791,0.00001413089],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005569525,0.0004694803,0.002056059,0.0005464145,0.00006367124,0.0006188871,0.0001124897,0.01085316,0.9293509,0.005871093,0.002484123,0.04701687],"study_design_scores_gemma":[0.0008098845,0.006289892,0.004972427,0.0001673074,0.0001966565,0.003110284,0.000241954,0.04911619,0.820079,0.005037169,0.1098846,0.0000947124],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8792974,0.050444,0.04819521,0.004597288,0.0004124087,0.0002800147,0.0005857887,0.0003826084,0.01580539],"genre_scores_gemma":[0.9576154,0.02037606,0.01764071,0.00122495,0.00007251423,0.00007143046,0.000515857,0.00002984735,0.00245314],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000880772,"threshold_uncertainty_score":0.002555847,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0687615221190654,"score_gpt":0.3435412180041409,"score_spread":0.2747796958850755,"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."}}