{"id":"W3095435122","doi":"10.1093/nar/gkaa931","title":"DescribePROT: database of amino acid-level protein structure and function predictions","year":2020,"lang":"en","type":"article","venue":"Nucleic Acids Research","topic":"Protein Structure and Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":85,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre; University of British Columbia","funders":"National Institute of General Medical Sciences; National Institutes of Health; National Science Foundation","keywords":"UniProt; Proteome; Biology; Computational biology; Function (biology); Protein sequencing; Sequence database; Amino acid; Peptide sequence; Sequence (biology); Web server; Computer science; Database; Bioinformatics; Data mining; Genetics; World Wide Web","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001285006,0.003450789,0.002450392,0.004799033,0.001347457,0.003548442,0.003097283,0.001397091,0.02804744],"category_scores_gemma":[0.003664743,0.001559781,0.001349405,0.00618761,0.0003978763,0.002281878,0.002120657,0.001871153,0.05590212],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008281703,"about_ca_system_score_gemma":0.002315467,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002471212,"about_ca_topic_score_gemma":0.002640678,"domain_scores_codex":[0.9988583,0.0001769849,0.0001713703,0.0003460629,0.0003034158,0.000143937],"domain_scores_gemma":[0.9981835,0.0003442325,0.0003994165,0.0002716764,0.0005432222,0.000257847],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003181454,0.0002422904,0.00467492,0.005573892,0.0004181918,0.001199564,0.0002507202,0.003416758,0.04641066,0.003027871,0.8755285,0.05607536],"study_design_scores_gemma":[0.001069951,0.0004056152,0.01565968,0.0006557698,0.0003746054,0.002474587,0.0002525581,0.0114826,0.02616078,0.00649226,0.9345909,0.0003805553],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01650868,0.003271135,0.02666666,0.0003288162,0.0003019496,0.0002481653,0.8818836,0.06305251,0.007738505],"genre_scores_gemma":[0.006642461,0.0006159031,0.01655086,0.0001001698,0.00003719028,0.0002011982,0.9718981,0.002560559,0.001393597],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02804744,"threshold_uncertainty_score":0.09382802,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04592291001100515,"score_gpt":0.3025316401942852,"score_spread":0.2566087301832801,"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."}}