{"id":"W3163021674","doi":"10.1186/s12964-021-00706-1","title":"Interactions among mTORC, AMPK and SIRT: a computational model for cell energy balance and metabolism","year":2021,"lang":"en","type":"article","venue":"Cell Communication and Signaling","topic":"Sirtuins and Resveratrol in Medicine","field":"Medicine","cited_by":115,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"mTORC1; AMPK; Nutrient sensing; PI3K/AKT/mTOR pathway; Autophagy; Biology; Transcription factor; Mechanistic target of rapamycin; Cell biology; mTORC2; NAD+ kinase; Signal transduction; Protein kinase A; Kinase; Biochemistry; Apoptosis; Gene","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":[0.0003103947,0.0008148503,0.001108202,0.0005495465,0.0008261875,0.001173906,0.001658317,0.002708065,0.007057156],"category_scores_gemma":[0.001795961,0.0006569029,0.001202325,0.000738067,0.001023448,0.0008789515,0.001085472,0.000999885,0.0005050073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001229468,"about_ca_system_score_gemma":0.00208634,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02604705,"about_ca_topic_score_gemma":0.01542898,"domain_scores_codex":[0.9998654,0.00005120984,0.000005035793,0.0000245752,0.00002452961,0.00002918433],"domain_scores_gemma":[0.9991755,0.0005672841,0.00004903751,0.00003350586,0.00009383877,0.00008080433],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000225846,0.00001157557,0.0002914683,0.00001547465,0.00001181773,0.00003027133,0.00000959797,0.9967476,0.00007881327,0.001987267,0.0003061903,0.0004873199],"study_design_scores_gemma":[0.00002201595,0.000006974329,0.00008089826,0.000004451871,0.000005929952,0.000006591245,0.00000897946,0.9978217,0.00003126112,0.00167301,0.0003345241,0.000003608121],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5840209,0.002000605,0.3111564,0.004913996,0.0005380778,0.0002643215,0.006843554,0.00142292,0.08883931],"genre_scores_gemma":[0.9553744,0.0005348899,0.03109451,0.0003844266,0.00007253964,0.0005288442,0.001647473,0.0001670152,0.01019587],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02604705,"threshold_uncertainty_score":0.05179089,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01965590459872736,"score_gpt":0.26937614813747,"score_spread":0.2497202435387426,"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."}}