{"id":"W2945295902","doi":"10.1002/anie.201902752","title":"Mechanical Activation Drastically Accelerates Amide Bond Hydrolysis, Matching Enzyme Activity","year":2019,"lang":"en","type":"article","venue":"Angewandte Chemie International Edition","topic":"Force Microscopy Techniques and Applications","field":"Physics and Astronomy","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"Bayerisches Staatsministerium für Bildung und Kultus, Wissenschaft und Kunst; Deutsche Forschungsgemeinschaft","keywords":"Peptide bond; Amide; Polyamide; Chemistry; Hydrolysis; Macromolecule; Peptide; Ab initio; Force spectroscopy; Molecule; Proteolytic enzymes; Computational chemistry; Enzyme; Combinatorial chemistry; Organic chemistry; Biochemistry","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":[0.000121513,0.0002430629,0.0001341308,0.0001315857,0.0001086968,0.0002674295,0.0002264901,0.0002353662,0.002932118],"category_scores_gemma":[0.0002628383,0.0001332967,0.0001226082,0.00009707846,0.0002138248,0.0002157827,0.0001848221,0.0003011152,0.0003217158],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001863149,"about_ca_system_score_gemma":0.00013738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002625268,"about_ca_topic_score_gemma":0.0003770787,"domain_scores_codex":[0.999872,0.000008698206,0.000007486904,0.00002999212,0.00003833096,0.00004343143],"domain_scores_gemma":[0.9998771,0.00003755708,0.00003282536,0.00001461977,0.00001293989,0.00002498317],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001020757,0.00003409131,0.0001777514,0.00002848536,0.000003956247,0.00002926442,0.00000738457,0.0002651291,0.9973623,0.0002224074,0.00009843231,0.001668736],"study_design_scores_gemma":[0.00002114524,0.0002859754,0.001984101,0.000003681903,0.000004551666,0.00004460517,0.00001310058,0.004956575,0.9914682,0.0001204736,0.001092362,0.000005251401],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952988,0.0003862649,0.00149713,0.00008972705,0.00004813647,0.00001083324,0.00007100926,0.00007009516,0.002527922],"genre_scores_gemma":[0.9984156,0.0001420983,0.000663192,0.0000273001,0.00001074638,0.000008611915,0.00005269103,0.00001126121,0.0006685226],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002932118,"threshold_uncertainty_score":0.009808958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009026378360526317,"score_gpt":0.2687343139415519,"score_spread":0.2597079355810256,"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."}}