{"id":"W2898994577","doi":"10.1016/j.bioorg.2018.10.071","title":"Design, synthesis, biological evaluation and dynamics simulation of indazole derivatives with antiangiogenic and antiproliferative anticancer activity","year":2018,"lang":"en","type":"article","venue":"Bioorganic Chemistry","topic":"Angiogenesis and VEGF in Cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":51,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Chemistry; Sorafenib; Indazole; Docking (animal); In vitro; IC50; Linker; Cancer cell; Cell culture; Potency; Stereochemistry; Enzyme; Angiogenesis; Pharmacology; Biochemistry; Cancer; Cancer research","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":[0.0001345631,0.0001898023,0.0001864046,0.0001248796,0.0002076327,0.0002531991,0.0003038189,0.000194841,0.001364219],"category_scores_gemma":[0.0002347584,0.0001095437,0.0002013969,0.0001668826,0.000121571,0.0001589028,0.0001082198,0.0002828295,0.0001628608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007232598,"about_ca_system_score_gemma":0.0005481192,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001817486,"about_ca_topic_score_gemma":0.003029625,"domain_scores_codex":[0.9999657,0.00000499059,0.000001899768,0.000005613533,0.000011404,0.00001043451],"domain_scores_gemma":[0.9999589,0.00001156144,0.00001199899,0.000003870301,0.000007535119,0.000006192619],"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":[0.0008727491,0.000761816,0.002600395,0.0005667694,0.00005798236,0.000544591,0.0002001119,0.3835321,0.5486939,0.01608978,0.001374943,0.04470493],"study_design_scores_gemma":[0.000359697,0.002929648,0.001744086,0.0000232572,0.00009371909,0.0001795763,0.00009858697,0.5245001,0.4573243,0.001173393,0.01152586,0.00004762374],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9835389,0.001145834,0.00980108,0.0002037032,0.00002918769,0.00008700359,0.0001960022,0.00008976144,0.004908578],"genre_scores_gemma":[0.9874519,0.0007876951,0.009797874,0.00002111786,0.00000361844,0.00007659248,0.0001625533,0.00001574626,0.001682967],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001817486,"threshold_uncertainty_score":0.005247653,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02751559374125367,"score_gpt":0.2872937750155049,"score_spread":0.2597781812742512,"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."}}