{"id":"W4393169232","doi":"10.23977/acss.2024.080120","title":"Deep Learning-Driven Protein Design","year":2024,"lang":"en","type":"article","venue":"Advances in Computer Signals and Systems","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Protein design; Deep learning; Computer science; Artificial intelligence; Biology; Protein structure; Biochemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000461793,0.0001336465,0.0001638388,0.00008083043,0.00005050479,0.0001464255,0.0001589842,0.0001140704,0.000005082025],"category_scores_gemma":[0.0000319208,0.0001048979,0.00003962317,0.0001053676,0.0000960187,0.00001328561,0.0001173332,0.0001448095,0.00001733416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001031253,"about_ca_system_score_gemma":0.00003851677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007250701,"about_ca_topic_score_gemma":0.000006904978,"domain_scores_codex":[0.9988087,0.0001360392,0.0002861844,0.0002920352,0.0002042644,0.0002727797],"domain_scores_gemma":[0.9996304,0.00005125553,0.0000358104,0.0001319929,0.00004811891,0.0001024039],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000114599,0.0001107505,0.001520202,0.002281433,0.0001354425,0.0001106839,0.0008252774,0.105267,0.08889561,0.0006588401,0.001453832,0.7986264],"study_design_scores_gemma":[0.0003213669,0.00103855,0.00008904444,0.0003989964,0.000004818733,0.00003502304,0.00009852631,0.8404409,0.004638055,0.0002623961,0.1524039,0.0002684362],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02654543,0.04937816,0.9226182,0.00007434803,0.0005128091,0.0004866993,0.000002849613,0.00002768235,0.0003538649],"genre_scores_gemma":[0.9877571,0.004617041,0.006519689,0.00004292221,0.0005196523,0.00005646002,0.00002028459,0.00001561732,0.0004511885],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9612117,"threshold_uncertainty_score":0.4277613,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01866315780523538,"score_gpt":0.2886834292594496,"score_spread":0.2700202714542143,"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."}}