{"id":"W2913157804","doi":"10.1101/542548","title":"Chemical-genetic profiling reveals cross-resistance and collateral sensitivity between antimicrobial peptides","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Antimicrobial Peptides and Activities","field":"Immunology and Microbiology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan; University of Regina","funders":"National Research, Development and Innovation Office; Canadian Institutes of Health Research; Nemzeti Kutatási Fejlesztési és Innovációs Hivatal; Emberi Eroforrások Minisztériuma; Horizon 2020 Framework Programme; Magyar Tudományos Akadémia; Wellcome Trust","keywords":"Biology; Antimicrobial peptides; Computational biology; Innate immune system; Gene; Antibiotic resistance; Effector; Immune system; Genetics; Antimicrobial; Bacteria; Microbiology; Cell biology","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":[0.0002121423,0.0002004405,0.0001915618,0.0003884651,0.00008068816,0.0003173287,0.0001366553,0.0003011258,0.0004354471],"category_scores_gemma":[0.0002321149,0.00008154747,0.0001788868,0.0003240766,0.0001991161,0.0001314666,0.0002525144,0.0003566376,0.000146757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001702861,"about_ca_system_score_gemma":0.00007951452,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002055362,"about_ca_topic_score_gemma":0.0002155236,"domain_scores_codex":[0.9997621,0.00006315651,0.00002179469,0.00005557751,0.00005872394,0.00003858445],"domain_scores_gemma":[0.9997497,0.00007266191,0.00009707164,0.00003156032,0.00002588035,0.0000232076],"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":[0.00002956996,0.00001592684,0.0007582672,0.000009360359,0.000003762153,0.00001972066,0.000007748452,0.00006846766,0.998271,0.000026252,0.000007129936,0.0007827283],"study_design_scores_gemma":[0.000004837762,0.0003618154,0.03310586,0.0000054411,0.00002267906,0.0003653055,0.00007459024,0.0016028,0.9634874,0.00008834856,0.0008733339,0.000007645219],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971379,0.0001671558,0.001884353,0.00002789162,0.00000353485,0.00001212315,0.0002887709,0.00002153991,0.0004567365],"genre_scores_gemma":[0.9959311,0.0001249754,0.003006136,0.00004266005,0.000002957139,0.00001310452,0.0003405383,0.00001638958,0.0005221839],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004354471,"threshold_uncertainty_score":0.001456678,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01155068004405913,"score_gpt":0.2222564514012894,"score_spread":0.2107057713572303,"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."}}