{"id":"W2913687673","doi":"10.1038/s41467-018-08248-w","title":"Structural basis for species-selective targeting of Hsp90 in a pathogenic fungus","year":2019,"lang":"en","type":"article","venue":"Nature Communications","topic":"Heat shock proteins research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":121,"is_retracted":false,"has_abstract":true,"ca_institutions":"Structural Genomics Consortium; University of Toronto","funders":"National Institute of Allergy and Infectious Diseases; Novartis Pharma; National Institutes of Health; Canadian Institutes of Health Research; Grand Challenges Canada; Howard Hughes Medical Institute","keywords":"Hsp90; Candida albicans; Pathogenic fungus; Antifungal drug; Drug discovery; Drug; Biology; Hsp90 inhibitor; Fungus; Pathogen; Computational biology; Selectivity; Chemistry; Biochemistry; Microbiology; Gene; Pharmacology; Heat shock protein","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002963536,0.0000845601,0.0001308035,0.00007847445,0.00006944035,0.000008284289,0.0006998904,0.000258295,0.00002287287],"category_scores_gemma":[0.0007468046,0.00008231704,0.00008473274,0.0002324822,0.00006023869,0.000004061616,0.0003232025,0.0004177034,0.000003575169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004422478,"about_ca_system_score_gemma":0.0001439693,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002193756,"about_ca_topic_score_gemma":0.0003643112,"domain_scores_codex":[0.999182,0.0001364033,0.0001916221,0.0001895761,0.0001057045,0.0001947119],"domain_scores_gemma":[0.9985347,0.0001157274,0.00005809721,0.001011327,0.0002469379,0.00003317748],"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":[0.00006200682,0.00003289766,0.01831357,0.00002231284,0.00002860108,1.024627e-7,0.0000924533,0.00002373874,0.9791581,0.0009296998,0.0005694522,0.000767087],"study_design_scores_gemma":[0.001640504,0.0005408241,0.1246805,0.00006278627,0.00001976008,0.000006896993,0.0005258488,0.002102207,0.779879,0.0003610835,0.08974907,0.0004315143],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9897532,0.006019727,0.00007480254,0.0004911229,0.00005213925,0.0008427598,0.000117283,0.000006429109,0.002642513],"genre_scores_gemma":[0.9920411,0.0002040946,0.0069786,0.0000576406,0.00003808843,0.00009202562,0.0002632448,0.00001589058,0.0003092878],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1992791,"threshold_uncertainty_score":0.3356791,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01927437576114236,"score_gpt":0.3232557665787028,"score_spread":0.3039813908175604,"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."}}