{"id":"W4284888467","doi":"10.1101/2022.07.07.499200","title":"CBP60-DB: An AlphaFold-predicted plant kingdom-wide database of the CALMODULIN-BINDING PROTEIN 60 (CBP60) protein family with a novel structural clustering algorithm","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Microbial Natural Products and Biosynthesis","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs; Compute Canada","keywords":"Biology; Arabidopsis; WRKY protein domain; Transcription factor; Computational biology; Gene; Genetics; Protein family; Arabidopsis thaliana; Database; Mutant","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":[0.0004139192,0.001551781,0.0008063671,0.002763385,0.0005596717,0.0008846489,0.001386342,0.0008295975,0.003725993],"category_scores_gemma":[0.0008928304,0.0005780074,0.000909929,0.001807332,0.0002308188,0.0009132478,0.001014475,0.0007261138,0.002301355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004594482,"about_ca_system_score_gemma":0.0006309613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001414279,"about_ca_topic_score_gemma":0.001923571,"domain_scores_codex":[0.9997239,0.00002768454,0.00003081638,0.0001260334,0.00006481336,0.00002673898],"domain_scores_gemma":[0.9997622,0.0000432534,0.00005159464,0.00004079059,0.00005210494,0.0000500636],"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":[0.004456409,0.001246687,0.03257721,0.00428949,0.0009728436,0.001870365,0.0004308769,0.03718603,0.5537551,0.007718406,0.1602248,0.1952717],"study_design_scores_gemma":[0.0009828026,0.0006935103,0.02662105,0.0002594198,0.0003684585,0.001686271,0.0002540085,0.6899497,0.1596132,0.009973536,0.1094064,0.0001916625],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3666646,0.003267315,0.2414635,0.0003903843,0.0002682797,0.0005608221,0.2034938,0.1760061,0.007885298],"genre_scores_gemma":[0.3521274,0.0009012935,0.2490361,0.0001803,0.0000432912,0.0005293911,0.3914296,0.004035861,0.001716773],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003725993,"threshold_uncertainty_score":0.0124647,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02014178191701012,"score_gpt":0.2278753234051837,"score_spread":0.2077335414881736,"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."}}