{"id":"W4391881015","doi":"10.1080/15476286.2024.2315383","title":"RNA-dependent proteome solubility maintenance in <i>Escherichia coli</i> lysates analysed by quantitative mass spectrometry: Proteomic characterization in terms of isoelectric point, structural disorder, functional hub, and chaperone network","year":2024,"lang":"en","type":"article","venue":"RNA Biology","topic":"Protein Structure and Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministry of Science and ICT, South Korea; Ministry of Health, British Columbia; National Research Foundation of Korea; National Research Foundation","keywords":"Biology; Proteome; RNA; Escherichia coli; Chaperone (clinical); Proteostasis; Proteomics; RNA-binding protein; Biochemistry; Computational biology; Cell biology; Gene","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":[],"consensus_categories":[],"category_scores_codex":[0.0002801057,0.0002200985,0.0003350527,0.0001358437,0.00003917452,0.00002005576,0.0001295407,0.0002397364,0.00001624965],"category_scores_gemma":[0.00006995695,0.0001866371,0.00005553698,0.0004913285,0.0001599961,0.0000167174,0.00007646671,0.0002358312,8.588157e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005607088,"about_ca_system_score_gemma":0.00006114547,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001158393,"about_ca_topic_score_gemma":0.0001828559,"domain_scores_codex":[0.9984394,0.0001686836,0.0003999664,0.0005457539,0.0000761116,0.0003700822],"domain_scores_gemma":[0.9995766,0.0000235392,0.0001428289,0.0001804024,0.00003425797,0.00004233906],"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":[0.0003789725,0.00002305917,0.03165296,0.00005838755,0.00005764057,0.000002429827,0.00003241171,0.00007436102,0.9662535,0.0006592165,0.00001047385,0.0007965798],"study_design_scores_gemma":[0.002770117,0.002398733,0.3691759,0.0001207024,0.00005233679,0.00002814707,0.00005385396,0.02477922,0.5761925,0.02330582,0.0002628534,0.0008598209],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9737934,0.001190375,0.02377347,0.0001693002,0.0001434283,0.00071361,0.0001563502,0.00001413432,0.00004591179],"genre_scores_gemma":[0.9965808,0.0004470956,0.001864241,0.00007281929,0.00007881581,0.00009875937,0.0007756458,0.00001977059,0.00006202103],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.390061,"threshold_uncertainty_score":0.7610838,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005218794886472449,"score_gpt":0.2311280968885693,"score_spread":0.2259093020020969,"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."}}