Large-Scale First-Principles Molecular Dynamics Simulations with Electrostatic Embedding: Application to Acetylcholinesterase Catalysis

详细信息    查看全文

• 作者：Jean-Luc Fattebert ; Edmond Y. Lau ; Brian J. Bennion ; Patrick Huang ; Felice C. Lightstone
• 刊名：Journal of Chemical Theory and Computation
• 出版年：2015
• 出版时间：December 8, 2015
• 年：2015
• 卷：11
• 期：12
• 页码：5688-5695
• 全文大小：464K
• ISSN：1549-9626

文摘

Enzymes are complicated solvated systems that typically require many atoms to simulate their function with any degree of accuracy. We have recently developed numerical techniques for large scale first-principles molecular dynamics simulations and applied them to the study of the enzymatic reaction catalyzed by acetylcholinesterase. We carried out density functional theory calculations for a quantum-mechanical (QM) subsystem consisting of 612 atoms with an O(N) complexity finite-difference approach. The QM subsystem is embedded inside an external potential field representing the electrostatic effect due to the environment. We obtained finite-temperature sampling by first-principles molecular dynamics for the acylation reaction of acetylcholine catalyzed by acetylcholinesterase. Our calculations show two energy barriers along the reaction coordinate for the enzyme-catalyzed acylation of acetylcholine. The second barrier (8.5 kcal/mol) is rate-limiting for the acylation reaction and in good agreement with experiment.