{"id":"W2113752145","doi":"10.1371/journal.pntd.0002492","title":"Exploring the Trypanosoma brucei Hsp83 Potential as a Target for Structure Guided Drug Design","year":2013,"lang":"en","type":"article","venue":"PLoS neglected tropical diseases","topic":"Heat shock proteins research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Structural Genomics Consortium","funders":"Eli Lilly Canada; Drugs for Neglected Diseases initiative; Ministero dello Sviluppo Economico; Ontario Ministry of Economic Development and Innovation; Ontario Genomics Institute; Wellcome Trust; Ontario Genomics; Genome Canada; GlaxoSmithKline; Pfizer; Department for International Development; Eli Lilly and Company; Canadian Institutes of Health Research; University of Dundee","keywords":"Trypanosoma brucei; African trypanosomiasis; Drug discovery; Biology; Computational biology; Drug development; Drug; Drug repositioning; Trypanosoma; Pentamidine; Virtual screening; Antiprotozoal; Pharmacology; Biochemistry; Virology; Trypanosomiasis; Medicine","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":[0.0001424084,0.0003711004,0.0004610254,0.0002724599,0.0001418601,0.0004008481,0.0003010744,0.0002851618,0.001028079],"category_scores_gemma":[0.000123382,0.0001404975,0.0002312027,0.00025154,0.0001840011,0.0002483194,0.0002155744,0.0004423413,0.0003017946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003400524,"about_ca_system_score_gemma":0.0002908017,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005107679,"about_ca_topic_score_gemma":0.001086531,"domain_scores_codex":[0.9999355,0.0000136291,0.000003880558,0.00001314868,0.00002051948,0.00001333068],"domain_scores_gemma":[0.9999647,0.000006333564,0.000007749306,0.000003614222,0.00001048491,0.000007073246],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001863664,0.0001639131,0.0004350937,0.0003721593,0.0000256562,0.0002382494,0.00003798335,0.004776808,0.9550399,0.001258624,0.0004604194,0.03700494],"study_design_scores_gemma":[0.0002853357,0.005600263,0.003801601,0.000107465,0.0001671245,0.001361839,0.0001159947,0.0159829,0.9296719,0.001207527,0.04164854,0.00004942047],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8968515,0.04966454,0.03297233,0.001544296,0.0001275468,0.0004620449,0.001022288,0.0004530554,0.01690245],"genre_scores_gemma":[0.9497983,0.03063669,0.01447517,0.0003951524,0.00003145131,0.0001395606,0.0009423412,0.00002909201,0.003552325],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001028079,"threshold_uncertainty_score":0.003439307,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04076939000182805,"score_gpt":0.2669738665962396,"score_spread":0.2262044765944116,"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."}}