{"id":"W3184229885","doi":"10.1016/j.drudis.2021.07.018","title":"Drugging the ‘undruggable’. Therapeutic targeting of protein–DNA interactions with the use of computer-aided drug discovery methods","year":2021,"lang":"en","type":"review","venue":"Drug Discovery Today","topic":"Monoclonal and Polyclonal Antibodies Research","field":"Medicine","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Canadian Institutes of Health Research; Terry Fox Foundation; Prostate Cancer Canada","keywords":"Drug discovery; Computational biology; Drug; Pharmaceutical sciences; Bioinformatics; Pharmacology; Biology","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":[0.0005189657,0.0009296245,0.0008673295,0.002024049,0.0002890713,0.001090048,0.0007556723,0.001190612,0.00513771],"category_scores_gemma":[0.0005467688,0.0002995507,0.0004216191,0.001716973,0.0006471999,0.001519743,0.0006706339,0.001779202,0.003730621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007355339,"about_ca_system_score_gemma":0.0007218345,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008442481,"about_ca_topic_score_gemma":0.00174567,"domain_scores_codex":[0.9997833,0.00004064243,0.00001768466,0.00004407799,0.00009120465,0.00002309772],"domain_scores_gemma":[0.9998195,0.00007235,0.00003175058,0.000008550353,0.0000492927,0.00001862176],"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":[0.00007617708,0.00008770821,0.0001254398,0.01316258,0.00007959032,0.0001568815,0.00006406237,0.0004868366,0.006165629,0.01354884,0.0585789,0.9074673],"study_design_scores_gemma":[0.00001127665,0.00006858958,0.000228671,0.0009558588,0.00002616918,0.0004216523,0.00002147848,0.0001031935,0.0006960901,0.001693456,0.9957652,0.000008363136],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002616275,0.99357,0.0005159832,0.00044315,0.000498309,0.00001362455,0.00004603107,0.00002827812,0.004623023],"genre_scores_gemma":[0.00172953,0.992824,0.0005791369,0.0007578294,0.0002893353,0.0000168172,0.0000798829,0.000005883483,0.00371762],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.00513771,"threshold_uncertainty_score":0.01718736,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0931701491453944,"score_gpt":0.3939359949613371,"score_spread":0.3007658458159427,"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."}}