{"id":"W2167536742","doi":"10.2174/1871520615666141216145417","title":"Lessons from Nature: Sources and Strategies for Developing AMPK Activators for Cancer Chemotherapeutics","year":2015,"lang":"en","type":"review","venue":"Anti-Cancer Agents in Medicinal Chemistry","topic":"Metabolism, Diabetes, and Cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Cancer Institute; Canadian Institutes of Health Research","keywords":"AMPK; Phenformin; mTORC1; Metformin; Protein kinase A; AMP-activated protein kinase; Signal transduction; PI3K/AKT/mTOR pathway; Cell growth; Chemistry; Cancer cell; Cancer research; Pharmacology; Cell biology; Cancer; Kinase; Biology; Medicine; Biochemistry; Internal medicine; Endocrinology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003058075,0.0006144869,0.00139473,0.0000477475,0.00009589844,0.00006262157,0.0004824709,0.001080929,0.00004320904],"category_scores_gemma":[0.00006848128,0.0005317064,0.0002468901,0.0001464688,0.0001938489,0.00001214402,0.0001094823,0.0004682838,3.622967e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001525217,"about_ca_system_score_gemma":0.001798986,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009603822,"about_ca_topic_score_gemma":0.00005826479,"domain_scores_codex":[0.9976915,0.00003905226,0.0005416917,0.0009107802,0.0002737237,0.0005432517],"domain_scores_gemma":[0.9988154,0.00006275283,0.0004324575,0.0003750278,0.0001690429,0.0001452977],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006495114,0.00003668905,0.0001070058,0.0122489,0.0007573825,0.000001383484,0.0001303595,0.000003878667,0.001383855,0.00001630557,0.004507859,0.9807414],"study_design_scores_gemma":[0.001084759,0.00002393356,0.00001438106,0.003713025,0.0006493187,0.000002079368,0.0002916596,0.00000832155,0.01968679,0.0001755514,0.9737412,0.0006089775],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01302037,0.9841844,0.0002606015,0.00005691277,0.0006332835,0.0007119845,0.001052129,0.00001375388,0.0000665456],"genre_scores_gemma":[0.0008576922,0.9933924,0.0004069743,0.0006027381,0.002394972,0.001105275,0.0008717866,0.0001131852,0.0002549914],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9801325,"threshold_uncertainty_score":0.9997134,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09930168544716675,"score_gpt":0.4357060920519754,"score_spread":0.3364044066048086,"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."}}