{"id":"W4292702802","doi":"10.1038/s41467-022-32717-y","title":"Duplicated ribosomal protein paralogs promote alternative translation and drug resistance","year":2022,"lang":"en","type":"article","venue":"Nature Communications","topic":"RNA and protein synthesis mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada; Government of Canada","keywords":"Translation (biology); Computational biology; Drug resistance; Ribosomal protein; Biology; Genetics; Ribosome; Drug; Drug discovery; Evolutionary biology; Bioinformatics; Gene; Pharmacology; RNA; Messenger RNA","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":[0.0001796494,0.0002204896,0.0003206879,0.0002273618,0.0001349234,0.0003581157,0.0001967775,0.0003501833,0.001272618],"category_scores_gemma":[0.0002407315,0.0001705973,0.0002539796,0.0001434823,0.0002912459,0.0001995683,0.0004343002,0.0004579714,0.0004865129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002392955,"about_ca_system_score_gemma":0.0001342093,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001658205,"about_ca_topic_score_gemma":0.0003433281,"domain_scores_codex":[0.9997202,0.00006321586,0.00002376101,0.00006175175,0.00007626626,0.00005490231],"domain_scores_gemma":[0.999678,0.00007323682,0.0000994541,0.00005615519,0.00002543131,0.00006774203],"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":[0.00006857894,0.00001174927,0.0003089494,0.000008995205,0.000002825119,0.0000833328,0.000007958526,0.00002815054,0.9987319,0.00005235982,0.00002176997,0.0006733848],"study_design_scores_gemma":[0.00001123651,0.0003262039,0.02243957,0.000003640008,0.00001329605,0.0009427801,0.00007611819,0.001048192,0.9730497,0.0001685535,0.00191185,0.000008883554],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974461,0.0007839865,0.0008562977,0.00008844789,0.00001373421,0.000005859402,0.00007587372,0.00005340093,0.0006762389],"genre_scores_gemma":[0.9983835,0.0002022315,0.0005022406,0.0000442292,0.000006375212,0.000006247041,0.0001334314,0.0000140611,0.0007077056],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001272618,"threshold_uncertainty_score":0.004257321,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01659115308608852,"score_gpt":0.2698560099150062,"score_spread":0.2532648568289178,"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."}}