{"id":"W2577638289","doi":"10.1016/j.jtbi.2017.01.018","title":"Efficient dynamic programming algorithm with prior knowledge for protein β-strand alignment","year":2017,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Protein Structure and Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Dynamic programming; Algorithm; Computer science; Structural alignment; Multiple sequence alignment; Protein structure prediction; Protein structure; Sequence alignment","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":[0.001169256,0.0009857937,0.002074402,0.001230576,0.0009655158,0.001408594,0.002711468,0.002040949,0.005960679],"category_scores_gemma":[0.003078762,0.001484041,0.001028475,0.001425795,0.0007424643,0.002289908,0.002230613,0.003012475,0.001363477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001101157,"about_ca_system_score_gemma":0.002478204,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006465605,"about_ca_topic_score_gemma":0.006875027,"domain_scores_codex":[0.9992917,0.0001692045,0.00003303198,0.0002362019,0.0001763762,0.00009352963],"domain_scores_gemma":[0.9984699,0.001010439,0.00008826418,0.0001358792,0.0002080253,0.00008739542],"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":[0.0002857667,0.0002249306,0.0004312686,0.0001388975,0.0000742589,0.00009679628,0.0000680691,0.6755009,0.004251628,0.01672618,0.004749204,0.2974521],"study_design_scores_gemma":[0.00001544982,0.00001303023,0.00003501854,0.000003659683,0.000004782717,0.00001361394,0.000004109986,0.9937692,0.0005748264,0.005167499,0.0003941568,0.000004596995],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007769366,0.0001433369,0.9896736,0.0001614415,0.00002431526,0.00004556226,0.00008242089,0.001006104,0.001093893],"genre_scores_gemma":[0.1360033,0.000197256,0.8585133,0.0001825369,0.00006199971,0.0003688718,0.0006545091,0.0004865564,0.003531756],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006465605,"threshold_uncertainty_score":0.01994044,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004856117276813322,"score_gpt":0.2779274246016573,"score_spread":0.2730713073248439,"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."}}