{"id":"W4386747582","doi":"10.2174/0929867331666230913165219","title":"Three Decades of Targeting Falcipains to Develop AntiplasmodialAgents: What have we Learned and What can be Done Next?","year":2023,"lang":"en","type":"article","venue":"Current Medicinal Chemistry","topic":"Trypanosoma species research and implications","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Proteases; Malaria; Plasmodium falciparum; Drug discovery; Computational biology; Biology; Antimalarial Agent; Cysteine Proteinase Inhibitors; Pharmacology; Bioinformatics; Biochemistry; Enzyme; Immunology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001517252,0.0002258309,0.0004063087,0.0001488144,0.0001447934,0.0001477116,0.0002167722,0.0001116266,0.0001885696],"category_scores_gemma":[0.001538826,0.0001982875,0.00006170406,0.0008855793,0.0002716088,0.0004249871,0.0002345301,0.0004231388,0.00002252825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001073724,"about_ca_system_score_gemma":0.0003775434,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002215947,"about_ca_topic_score_gemma":0.00002524354,"domain_scores_codex":[0.9978249,0.00002036205,0.0004276573,0.0004563413,0.0007039593,0.0005667656],"domain_scores_gemma":[0.9982808,0.0001872784,0.0001065995,0.0003662557,0.0003662321,0.0006927869],"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":[0.000175007,0.0001398702,0.005905834,0.001416836,0.00009041095,0.00005112813,0.002288876,0.000002343936,0.775618,0.00002616662,0.0193371,0.1949484],"study_design_scores_gemma":[0.005064543,0.000467845,0.1261094,0.008757198,0.0002469063,0.0001828979,0.07202718,0.0006031161,0.5737968,0.0003442048,0.211563,0.0008369296],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9660653,0.01359351,0.0002078418,0.01921624,0.0002425055,0.0004023946,0.00002681525,0.00009062362,0.000154719],"genre_scores_gemma":[0.9524318,0.04558396,0.0003456389,0.0002371448,0.0005123178,0.00008518261,0.0004330061,0.00003898678,0.0003319473],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2018212,"threshold_uncertainty_score":0.8085929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1134005918158165,"score_gpt":0.3784464901569374,"score_spread":0.2650458983411209,"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."}}