{"id":"W2936549068","doi":"10.3390/molecules24081511","title":"Novel C-2 Symmetric Molecules as α-Glucosidase and α-Amylase Inhibitors: Design, Synthesis, Kinetic Evaluation, Molecular Docking and Pharmacokinetics","year":2019,"lang":"en","type":"article","venue":"Molecules","topic":"Carbohydrate Chemistry and Synthesis","field":"Chemistry","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institute of Population and Public Health; King Saud University","keywords":"Docking (animal); Chemistry; Pharmacokinetics; Combinatorial chemistry; Stereochemistry; Molecule; Computational chemistry; Pharmacology; Organic chemistry; Medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001348168,0.0003897012,0.0004421496,0.0002145956,0.00008977071,0.0002559549,0.000435423,0.0002219617,0.000944823],"category_scores_gemma":[0.00009150395,0.0001369521,0.0002017366,0.0002736473,0.0001526798,0.0002432298,0.0001562847,0.0004386655,0.0002483267],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003025918,"about_ca_system_score_gemma":0.000184991,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006932139,"about_ca_topic_score_gemma":0.001222867,"domain_scores_codex":[0.9999455,0.00001181804,0.000003138641,0.00001143224,0.00001532962,0.00001272],"domain_scores_gemma":[0.9999646,0.000004319255,0.00001374548,0.000002458478,0.000006162314,0.000008735608],"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":[0.0005024068,0.0002647147,0.0004428907,0.0006536386,0.00005824834,0.0002571724,0.00005681373,0.007655093,0.9595858,0.002479758,0.0005679306,0.02747555],"study_design_scores_gemma":[0.0007063735,0.007687029,0.004426867,0.00004806173,0.0001994944,0.0008793429,0.00005713157,0.0363281,0.9232304,0.0005112996,0.02584246,0.00008341406],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.949786,0.01575696,0.02704467,0.0002876278,0.00007182443,0.0003630079,0.0008630197,0.0002026327,0.005624285],"genre_scores_gemma":[0.9767739,0.007060145,0.01230415,0.0001012898,0.00002160743,0.000181294,0.0006058835,0.00001490885,0.002936876],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000944823,"threshold_uncertainty_score":0.003160775,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0161128915465723,"score_gpt":0.2485367859385755,"score_spread":0.2324238943920032,"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."}}