{"id":"W4413051754","doi":"10.1139/bcb-2025-0194","title":"Computational screening of filamin mechanical binding proteins using AlphaFold2","year":2025,"lang":"en","type":"article","venue":"Biochemistry and Cell Biology","topic":"Cellular Mechanics and Interactions","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Research Nova Scotia; Canada Foundation for Innovation","keywords":"Filamin; Context (archaeology); Plasma protein binding; Computational biology; Biophysics; Binding site; Biology; Chemistry; Cell biology; Biochemistry; Cytoskeleton","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0007694909,0.001778447,0.001701268,0.001057739,0.0007264052,0.0009756279,0.00157612,0.001624228,0.003237659],"category_scores_gemma":[0.001640035,0.0007504155,0.00157967,0.0007683559,0.0003846403,0.0005552282,0.0006034977,0.0007610045,0.00047643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008000298,"about_ca_system_score_gemma":0.001661855,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008429087,"about_ca_topic_score_gemma":0.011598,"domain_scores_codex":[0.9997749,0.00008343327,0.00001385022,0.00003936507,0.00004032677,0.00004821922],"domain_scores_gemma":[0.9989569,0.0008075099,0.00004037405,0.00003729786,0.00008386427,0.00007404907],"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":[0.001137716,0.0005667472,0.01194232,0.0005670456,0.000469266,0.0008946737,0.00007631563,0.9524258,0.007847308,0.003133869,0.00495499,0.01598394],"study_design_scores_gemma":[0.00009333754,0.00007457311,0.00050553,0.000005329731,0.00002504207,0.00003119771,0.00002529281,0.9977064,0.0006377526,0.0004435493,0.0004462725,0.000005661837],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9545308,0.001203308,0.03032257,0.0005623809,0.0001278879,0.0001550131,0.00324328,0.003684739,0.006169967],"genre_scores_gemma":[0.9253616,0.0005566499,0.0605665,0.0003630435,0.00005643645,0.0003438413,0.0101748,0.000367937,0.002209137],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008429087,"threshold_uncertainty_score":0.01676005,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01230332514212688,"score_gpt":0.2656840582239693,"score_spread":0.2533807330818424,"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."}}