{"id":"W4381250708","doi":"10.1016/j.mcpro.2023.100602","title":"Proteomic Dynamics of Breast Cancer Cell Lines Identifies Potential Therapeutic Protein Targets","year":2023,"lang":"en","type":"article","venue":"Molecular & Cellular Proteomics","topic":"RNA modifications and cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; University Health Network","funders":"H2020 European Research Council; National Cancer Institute; Natural Science Foundation of Zhejiang Province; SystemsX.ch; National Natural Science Foundation of China; National Institutes of Health; Canada Research Chairs; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Princess Margaret Hospital Foundation; Sanofi; National Science Foundation; Astex Pharmaceuticals; Pfizer; European Research Council","keywords":"PI3K/AKT/mTOR pathway; Proteomics; Proteome; Triple-negative breast cancer; Computational biology; Cancer research; Protein kinase B; Biology; Breast cancer; Cell growth; Bioinformatics; Signal transduction; Cancer; Cell biology; Genetics; 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":[0.0001797347,0.0002534897,0.0003388458,0.0005293589,0.000222053,0.0004958299,0.000105177,0.000210249,0.0005423537],"category_scores_gemma":[0.0002294535,0.0001173498,0.0002108752,0.0007906891,0.0001073672,0.0002165895,0.0002266551,0.0002879155,0.0003528528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002974462,"about_ca_system_score_gemma":0.0001989574,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001259945,"about_ca_topic_score_gemma":0.001426865,"domain_scores_codex":[0.9998645,0.00001110065,0.00001000432,0.00003723698,0.00005936351,0.00001777992],"domain_scores_gemma":[0.999897,0.00001702959,0.00002673861,0.000009629867,0.00003713723,0.00001246244],"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":[0.0001726469,0.000021018,0.01259742,0.0001024557,0.00003310679,0.00009940853,0.00005452273,0.000355857,0.9788632,0.00006333934,0.000336989,0.007299894],"study_design_scores_gemma":[0.0000176802,0.0002591209,0.2870672,0.00002600991,0.0001203746,0.001153403,0.0003274727,0.01355026,0.6881936,0.000344137,0.008909937,0.00003087772],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9874369,0.001929409,0.004344266,0.0001539434,0.00001902353,0.0000328017,0.004745551,0.0001491319,0.001189006],"genre_scores_gemma":[0.9757396,0.002550459,0.0102009,0.0002045874,0.00001330082,0.00008737868,0.009723888,0.0000570653,0.001422923],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001259945,"threshold_uncertainty_score":0.002505183,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006172836263796153,"score_gpt":0.2288112312388778,"score_spread":0.2226383949750816,"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."}}