{"id":"W2106945490","doi":"10.2174/138920305774329359","title":"HIV-1 gp120 V3 Loop for Structure-Based Drug Design","year":2005,"lang":"en","type":"review","venue":"Current Protein and Peptide Science","topic":"Computational Drug Discovery Methods","field":"Computer Science","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"Université du Québec à Montréal","keywords":"V3 loop; Rational design; Computational biology; Drug; Biology; Human immunodeficiency virus (HIV); Virology; Viral entry; Drug design; Antibody; Virus; Viral replication; Genetics; Bioinformatics; Epitope; Pharmacology","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002571731,0.0005856093,0.0009335591,0.0005724797,0.000525946,0.0009765895,0.002968879,0.0000985502,0.00000992041],"category_scores_gemma":[0.0004954466,0.0004738589,0.0002918079,0.001589926,0.0005660434,0.001020513,0.0005791149,0.000444089,0.00003037934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002340614,"about_ca_system_score_gemma":0.003235927,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002230284,"about_ca_topic_score_gemma":9.692543e-7,"domain_scores_codex":[0.9956905,0.0004291181,0.0006751866,0.001579994,0.000912049,0.0007131614],"domain_scores_gemma":[0.9971679,0.0008496257,0.0005005884,0.0008809807,0.0002632833,0.0003375704],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000002562908,0.00003222774,3.048317e-7,0.00246609,0.000005358778,9.713677e-7,0.00004658155,0.001021827,0.00000431489,0.009122293,0.0003959,0.9869016],"study_design_scores_gemma":[0.0002443578,0.00005305609,0.000002827401,0.004793713,0.00004948209,0.00001556331,0.000001627753,0.08153272,0.00009201399,0.004848492,0.9076845,0.000681642],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"methods","genre_scores_codex":[0.000003118367,0.5071824,0.4901825,0.00007826724,0.0005122952,0.001868944,0.0000543041,0.00009778665,0.0000204441],"genre_scores_gemma":[0.00002595152,0.4246587,0.573854,0.0000632968,0.0004664713,0.0006002295,0.00003597304,0.00005022018,0.0002451253],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9862199,"threshold_uncertainty_score":0.9997713,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1103930828332326,"score_gpt":0.3997554633971317,"score_spread":0.2893623805638991,"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."}}