{"id":"W3127618774","doi":"10.3389/fbinf.2022.715006","title":"Mimetic Neural Networks: A Unified Framework for Protein Design and Folding","year":2022,"lang":"en","type":"article","venue":"Frontiers in Bioinformatics","topic":"Protein Structure and Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Mitacs; United States-Israel Binational Science Foundation","keywords":"Folding (DSP implementation); Computer science; Artificial neural network; Protein folding; Artificial intelligence; Chemistry; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003150384,0.0001437844,0.0001636599,0.00008305127,0.0001776789,0.00003436056,0.0001979111,0.0001207705,0.00000240471],"category_scores_gemma":[0.00009694528,0.0001469532,0.00004945467,0.0001504458,0.00005416183,0.000008428526,0.0001773283,0.0001837737,8.515286e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003140723,"about_ca_system_score_gemma":0.00003592864,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001738425,"about_ca_topic_score_gemma":6.590982e-7,"domain_scores_codex":[0.9991351,0.00005317271,0.0002657942,0.0001572932,0.0001014536,0.000287121],"domain_scores_gemma":[0.9995741,0.00001672064,0.0001134708,0.000221553,0.0000205279,0.00005364302],"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":[0.004361929,0.0002610743,0.01253566,0.001026412,0.0005753632,0.00002664975,0.003527517,0.6625828,0.01034408,0.02024928,0.03224351,0.2522657],"study_design_scores_gemma":[0.0007128807,0.0004699176,0.00006874999,0.00001575484,0.00001730848,0.0000164033,0.0006901855,0.9804831,0.001065668,0.01222918,0.003959645,0.0002711752],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.039357,0.001038388,0.9580612,0.00007141765,0.0003732237,0.001028124,0.00001775021,0.00001354232,0.0000394067],"genre_scores_gemma":[0.310102,0.00003652639,0.689095,0.0003133721,0.00006116568,0.0002445644,0.00007476549,0.000018038,0.00005456359],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3179003,"threshold_uncertainty_score":0.5992576,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008332479520323616,"score_gpt":0.2241176081079284,"score_spread":0.2157851285876048,"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."}}