{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00009825992,0.0001579733,0.0001443007,0.00006236444,0.00009128707,0.0001176596,0.0002130734,0.00007218367,0.002097749],"category_scores_gemma":[0.000007700613,0.0001598119,0.0001079489,0.0001081744,0.00002189087,0.0004682378,0.00007691019,0.0002214166,0.0001515535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009514931,"about_ca_system_score_gemma":0.00003134639,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002209973,"about_ca_topic_score_gemma":0.000002117451,"domain_scores_codex":[0.9990513,0.000009237595,0.0002020633,0.0003089185,0.0002484449,0.0001800422],"domain_scores_gemma":[0.9994118,0.00007801627,0.000146679,0.0001823612,0.00012273,0.0000584693],"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":[0.0000265485,0.0001275073,0.0004300587,0.000005697549,0.00005914116,1.922185e-7,0.00003393536,0.00004250028,0.9702784,0.02438466,0.003543022,0.001068356],"study_design_scores_gemma":[0.0002610652,0.00002134086,0.0006965104,0.00004013704,0.00001732841,9.691221e-7,0.00004479775,0.0007928738,0.9743412,0.01932707,0.004289517,0.0001671692],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7296403,0.000003464965,0.2445619,0.00128328,0.0003665052,0.0002870604,0.0001402801,0.0001323813,0.02358478],"genre_scores_gemma":[0.9956371,0.000003150985,0.001645021,0.0001612458,0.0009248587,0.000103428,0.0008585019,0.00002117099,0.0006455301],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2659968,"threshold_uncertainty_score":0.9988145,"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."}}