{"id":"W2420922808","doi":"10.1093/bioinformatics/btw280","title":"DFLpred: High-throughput prediction of disordered flexible linker regions in protein sequences","year":2016,"lang":"en","type":"article","venue":"Bioinformatics","topic":"Protein Structure and Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":92,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Proteome; Linker; Computer science; Human proteome project; Sequence (biology); Intrinsically disordered proteins; Throughput; Domain (mathematical analysis); Computational biology; Protein domain; Biological system; Chemistry; Biology; Bioinformatics; Proteomics; Mathematics; Biochemistry","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":[0.001909722,0.001222615,0.0007299578,0.001198038,0.0004058789,0.0007068325,0.0008934874,0.0007180739,0.001007076],"category_scores_gemma":[0.003245128,0.0003863178,0.0008068486,0.0007110175,0.0003402501,0.0008444219,0.0006131869,0.0008826623,0.001319179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007090924,"about_ca_system_score_gemma":0.0008505491,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002272451,"about_ca_topic_score_gemma":0.002916319,"domain_scores_codex":[0.9993091,0.0001448815,0.00004154468,0.000199875,0.0002429728,0.00006156552],"domain_scores_gemma":[0.9985892,0.0005815798,0.0002879662,0.0001276715,0.0002893586,0.0001241132],"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":[0.002744817,0.0008866297,0.1356022,0.002646296,0.0006884932,0.001174495,0.0002781528,0.2776944,0.2918195,0.003212555,0.06143071,0.2218219],"study_design_scores_gemma":[0.0001033288,0.0004515154,0.02081497,0.00005750895,0.00007922623,0.000623291,0.00005795264,0.8685217,0.1005015,0.001623169,0.007081572,0.00008428025],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.7297273,0.004997837,0.2212881,0.0006343084,0.0001456975,0.0002652574,0.01416353,0.02609194,0.002686114],"genre_scores_gemma":[0.791435,0.001102138,0.1789656,0.0002724137,0.00007582457,0.0002711462,0.02561121,0.0005026129,0.001764129],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.002272451,"threshold_uncertainty_score":0.01009965,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01032184592350963,"score_gpt":0.2276456780206788,"score_spread":0.2173238320971691,"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."}}