{"id":"W4289517527","doi":"10.3389/fcimb.2022.954144","title":"Exploring direct and indirect targets of current antileishmanial drugs using a novel thermal proteomics profiling approach","year":2022,"lang":"en","type":"article","venue":"Frontiers in Cellular and Infection Microbiology","topic":"Research on Leishmaniasis Studies","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Canada Foundation for Innovation","keywords":"Miltefosine; Leishmania infantum; Proteome; Visceral leishmaniasis; Drug resistance; Leishmaniasis; Paromomycin; Amphotericin B; Drug; Biology; Computational biology; Pharmacology; Chemistry; Microbiology; Bioinformatics; Immunology; Antibiotics; Antifungal; Aminoglycoside","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":[0.0003501996,0.0006312067,0.0005939847,0.0006217729,0.0002485242,0.0006530113,0.0003745245,0.0006268226,0.0007448469],"category_scores_gemma":[0.0003636379,0.0002854703,0.0006320215,0.0005437901,0.0002495012,0.0006362561,0.0003413355,0.0006996218,0.0004084163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002729128,"about_ca_system_score_gemma":0.0002610818,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003920037,"about_ca_topic_score_gemma":0.0006158089,"domain_scores_codex":[0.9997204,0.00002871708,0.00001946593,0.0001051307,0.00009155446,0.00003483061],"domain_scores_gemma":[0.9998362,0.0000307806,0.00006248936,0.0000131657,0.00003878702,0.00001861739],"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":[0.0001040767,0.00004628446,0.0008523446,0.0001139101,0.00003149906,0.00005002477,0.00002705395,0.0004738841,0.9916693,0.0001279676,0.00008906184,0.006414701],"study_design_scores_gemma":[0.00001519523,0.0005532564,0.01756474,0.00002116266,0.0001220243,0.0008794231,0.000103923,0.03516489,0.9406817,0.0004355769,0.004393077,0.00006499067],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8801666,0.003750232,0.110357,0.0004313186,0.00009587412,0.0001528742,0.002089265,0.0009125522,0.002044335],"genre_scores_gemma":[0.8565914,0.004549064,0.1329952,0.0004932804,0.00007149699,0.0003091813,0.002072542,0.0001301418,0.002787726],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007448469,"threshold_uncertainty_score":0.002491772,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07150394770939449,"score_gpt":0.2776839291571134,"score_spread":0.2061799814477189,"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."}}