{"id":"W2432122798","doi":"10.21775/cimb.020.013","title":"Identification of Top-ranked Proteins within a Directional Protein Interaction Network using the PageRank Algorithm: Applications in Humans and Plants","year":2016,"lang":"en","type":"review","venue":"Current Issues in Molecular Biology","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Public Works and Government Services Canada; Agriculture and Agri-Food Canada; McGill University","keywords":"PTEN; Tensin; Biology; Protein kinase B; PI3K/AKT/mTOR pathway; Signal transduction; MAPK/ERK pathway; Protein phosphatase 2; Protein kinase A; Cancer research; Cell biology; Computational biology; Bioinformatics; Kinase; Phosphatase; Phosphorylation","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":[0.001084189,0.0008933742,0.0007671589,0.004830888,0.0005760058,0.001259168,0.0004389692,0.0006605489,0.002239075],"category_scores_gemma":[0.003650764,0.0003436999,0.0006405764,0.003763395,0.0003169024,0.0008686532,0.0005981495,0.0004846785,0.0009066034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004895626,"about_ca_system_score_gemma":0.0006260208,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002249989,"about_ca_topic_score_gemma":0.003721638,"domain_scores_codex":[0.9994629,0.0001907573,0.00003776459,0.0001276074,0.0001398601,0.00004113076],"domain_scores_gemma":[0.9989321,0.0006295299,0.0001610337,0.00006398751,0.0001386802,0.00007471017],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007424177,0.0003268137,0.03874965,0.001588808,0.0006320156,0.001106551,0.000600719,0.1542414,0.03780887,0.0175509,0.02630293,0.7203488],"study_design_scores_gemma":[0.00007088191,0.0001490478,0.01636193,0.00006207172,0.0001201786,0.0009960709,0.0002706309,0.9220181,0.007709245,0.03441234,0.01776336,0.00006616751],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.2247647,0.00543703,0.7481723,0.0009017371,0.000148939,0.0002628613,0.004461022,0.01047424,0.00537706],"genre_scores_gemma":[0.3759817,0.002316353,0.6130382,0.00007832476,0.00007932289,0.0002556431,0.004641629,0.0006083025,0.003000531],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.004830888,"threshold_uncertainty_score":0.007490456,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02463992206852443,"score_gpt":0.3558572543889068,"score_spread":0.3312173323203824,"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."}}