{"id":"W1849883748","doi":"10.1002/pro.2442","title":"Influence of hydrophobic and electrostatic residues on SARS‐coronavirus S2 protein stability: Insights into mechanisms of general viral fusion and inhibitor design","year":2014,"lang":"en","type":"article","venue":"Protein Science","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Canadian Institutes of Health Research; Hospital for Sick Children","keywords":"Coronavirus disease 2019 (COVID-19); Fusion; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Coronavirus; 2019-20 coronavirus outbreak; Virology; Chemistry; Protein stability; Hydrophobic effect; Biophysics; Computational biology; Biology; Medicine; Biochemistry","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":[0.0003788011,0.0004425554,0.0005444553,0.00013454,0.0001818857,0.0003387254,0.0002873509,0.0002699454,0.0007771174],"category_scores_gemma":[0.0002415734,0.0001997219,0.0002818228,0.0001037909,0.0002749955,0.0004086476,0.0001961637,0.0003078687,0.0002090399],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003110328,"about_ca_system_score_gemma":0.0002563525,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003884679,"about_ca_topic_score_gemma":0.0004391171,"domain_scores_codex":[0.9998746,0.00002816091,0.00001008833,0.00002435583,0.00003514532,0.00002757977],"domain_scores_gemma":[0.9999141,0.0000257726,0.00002245,0.000005382001,0.00001500621,0.0000173947],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006307095,0.00008129515,0.0003619347,0.0001178435,0.00002627847,0.0001254525,0.00002620659,0.003288138,0.9854903,0.000559011,0.00007387988,0.009218819],"study_design_scores_gemma":[0.0001169167,0.001391537,0.001379872,0.00001235084,0.0000519825,0.0002961672,0.00002434529,0.01333987,0.9809311,0.0002372523,0.00219805,0.00002056751],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9861041,0.005782214,0.006105537,0.0001456967,0.00001898125,0.00006112519,0.00008596867,0.00006887595,0.001627539],"genre_scores_gemma":[0.9942095,0.002859243,0.002220395,0.00005646581,0.00001026152,0.00002390908,0.00007995358,0.00001376167,0.0005264245],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007771174,"threshold_uncertainty_score":0.002599716,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03135284926592605,"score_gpt":0.3196500832302535,"score_spread":0.2882972339643274,"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."}}