{"id":"W4312209995","doi":"10.3390/molecules27248957","title":"In Vitro and In Silico Studies for the Identification of Potent Metabolites of Some High-Altitude Medicinal Plants from Nepal Inhibiting SARS-CoV-2 Spike Protein","year":2022,"lang":"en","type":"article","venue":"Molecules","topic":"Phytochemicals and Medicinal Plants","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Paraza Pharma (Canada)","funders":"","keywords":"In silico; Docking (animal); Drug discovery; In vitro; Computational biology; Binding site; Biochemistry; Chemistry; Biology; Medicine; Gene","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004129515,0.0001021817,0.0004142394,0.0001211164,0.00003876311,0.00000265609,0.00008182436,0.0000278816,0.000001455378],"category_scores_gemma":[0.0003647977,0.00007317346,0.00003747422,0.0001064918,0.0001154084,0.0000413577,0.00008570656,0.0001509859,1.508713e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000356277,"about_ca_system_score_gemma":0.00004242998,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005243178,"about_ca_topic_score_gemma":0.00003597196,"domain_scores_codex":[0.9987885,0.00004787758,0.0005077994,0.0001962796,0.0003029082,0.0001566053],"domain_scores_gemma":[0.9993963,0.0002061407,0.0002075337,0.0001265295,0.0000409401,0.0000225824],"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":[0.0009044788,0.0001395696,0.0005889967,0.0001796072,0.00006482974,0.00002234502,0.0008329985,0.000007537169,0.9954113,0.000103795,0.00005443043,0.001690141],"study_design_scores_gemma":[0.001852053,0.0001095672,0.0143823,0.0002310666,0.00007236104,0.000008805036,0.001885341,0.0004393834,0.9792016,0.001706854,0.00005222132,0.00005848087],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9870837,0.01071018,0.00004066321,0.001165683,0.00006507216,0.0007533126,0.0001705581,0.000005008299,0.000005851056],"genre_scores_gemma":[0.9988227,0.0001725949,0.0003499411,0.0003200599,0.00006543637,0.0001972147,0.00005503089,0.000009038667,0.00000794743],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01620971,"threshold_uncertainty_score":0.2983927,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03174813113838078,"score_gpt":0.3119539885114285,"score_spread":0.2802058573730478,"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."}}