{"id":"W4410195512","doi":"10.1101/2025.05.02.651884","title":"Computational Screening of Filamin Mechanical Binding Proteins using AlphaFold2","year":2025,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Cellular Mechanics and Interactions","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Filamin; Context (archaeology); Computational biology; Plasma protein binding; Binding site; Chemistry; Biology; Biophysics; Cell biology; Biochemistry; Cytoskeleton","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":[0.0008143263,0.001616693,0.001492845,0.001068382,0.000625431,0.0008475265,0.001340391,0.001357793,0.002699412],"category_scores_gemma":[0.001273381,0.0006462627,0.001392314,0.0006872166,0.0003420855,0.0004249873,0.0004997539,0.0006093253,0.0004026777],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007746665,"about_ca_system_score_gemma":0.001183053,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007452329,"about_ca_topic_score_gemma":0.008115867,"domain_scores_codex":[0.9997798,0.0000856336,0.00001151828,0.00004263273,0.00003658781,0.00004379342],"domain_scores_gemma":[0.99909,0.0006749724,0.00004208209,0.00004155487,0.00008076953,0.00007078779],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001183216,0.0006600096,0.01620833,0.0003891803,0.0004016147,0.0007036826,0.00005241808,0.9536057,0.008504165,0.002022633,0.003773511,0.01249549],"study_design_scores_gemma":[0.00006040271,0.00006988558,0.0005405092,0.000003739309,0.00002026924,0.00002513102,0.00001773848,0.9979318,0.0008148342,0.0002420638,0.000269469,0.000004265813],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9743947,0.0005833703,0.01674347,0.0003065696,0.00006679649,0.00009985753,0.002273779,0.002369568,0.003161859],"genre_scores_gemma":[0.9478416,0.0002621518,0.04216606,0.00024761,0.00003790059,0.0002190375,0.007362694,0.0002434909,0.00161947],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007452329,"threshold_uncertainty_score":0.01481789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01849075867500661,"score_gpt":0.2520761280938942,"score_spread":0.2335853694188876,"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."}}