The theory of enzyme catalysis.
作者信息
Vol'kenshtein M V, Dogonadze R R, Madumarov A K, Urushadze Z D, Kharkats Y I
出版信息
Mol Biol. 1972 May-Jun;6(3):347-53.
PMID:4645409
Abstract
摘要
相似文献
1
The theory of enzyme catalysis.酶催化理论。
Mol Biol. 1972 May-Jun;6(3):347-53.
2
How enzymes work: analysis by modern rate theory and computer simulations.酶的作用方式：基于现代速率理论和计算机模拟的分析
Science. 2004 Jan 9;303(5655):186-95. doi: 10.1126/science.1088172.
3
An NMR perspective on enzyme dynamics.从核磁共振角度看酶动力学。
Chem Rev. 2006 Aug;106(8):3055-79. doi: 10.1021/cr050312q.
4
[Role of carboxylic groups in the structure and function of proteins].[羧基在蛋白质结构和功能中的作用]
Usp Sovrem Biol. 1973 Mar-Apr;75(2):163-82.
5
Dynamical contributions to enzyme catalysis: critical tests of a popular hypothesis.对酶催化的动力学贡献：一个流行假说的关键检验
Chem Rev. 2006 May;106(5):1737-56. doi: 10.1021/cr040427e.
6
A perspective on enzyme catalysis.酶催化的观点。
Science. 2003 Aug 29;301(5637):1196-202. doi: 10.1126/science.1085515.
7
[Dynamic theory of enzymatic catalysis].
Biofizika. 1976 Mar-Apr;21(2):208-13.
8
Structural bases of hydrogen tunneling in enzymes: progress and puzzles.酶中氢隧穿的结构基础：进展与谜题
Curr Opin Struct Biol. 2004 Dec;14(6):648-55. doi: 10.1016/j.sbi.2004.10.008.
9
10
A novel thermodynamic relationship based on Kramers Theory for studying enzyme kinetics under high viscosity.一种基于克莱默斯理论的新型热力学关系，用于研究高粘度下的酶动力学。
IUBMB Life. 2004 Jul;56(7):403-7. doi: 10.1080/15216540400003052.
引用本文的文献
1
DeepEnzyme: a robust deep learning model for improved enzyme turnover number prediction by utilizing features of protein 3D-structures.DeepEnzyme：一种强大的深度学习模型，通过利用蛋白质 3D 结构的特征，提高酶转化数预测的准确性。
Brief Bioinform. 2024 Jul 25;25(5). doi: 10.1093/bib/bbae409.
Zotero 插件