Parameterization of the ReaxFF Reactive Force Field for a Proline-Catalyzed Aldol Reaction

被引:12
|
作者
Hubin, Pierre O. [1 ]
Jacquemin, Denis [2 ,3 ]
Leherte, Laurence [1 ]
Vercauteren, Daniel P. [1 ]
机构
[1] Univ Namur, Unite Chim Phys Theor & Struct, Lab Physicochim Informat PCI, 61 Rue Bruxelles, B-5000 Namur, Belgium
[2] Univ Nantes, CNRS, UMR 6230, Lab CEISAM, 2 Rue Houssiniere,BP92208, F-44322 Nantes 3, France
[3] Inst Univ France, 1 Rue Descartes, F-75231 Paris 5, France
关键词
ReaxFF; Monte Carlo simulated annealing; force field parameters optimization; proline-catalyzed aldol reaction; MOLECULAR-DYNAMICS SIMULATIONS; TRANSITION-STATES; THERMAL-DECOMPOSITION; GLOBAL OPTIMIZATION; DERIVATIVES; ENAMINE; STEREOSELECTIVITY; ORGANOCATALYSIS; PREDICTIONS; FRAMEWORK;
D O I
10.1002/jcc.24481
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
A parameterization of the ReaxFF reactive FF is performed using a Monte Carlo Simulated Annealing procedure for the modeling of a proline-catalyzed aldol reaction. Emphasis is put on the accurate reproduction of the relative stabilities of several key intermediates of the reaction, as well as, on the description of the reaction path bridging these intermediates based on quantum mechanical calculations. Our training sets include new criteria based on geometry optimizations and short Molecular Dynamics simulations to ensure that the trained ReaxFF potentials adequately predict the structures of all key intermediates. The transferability of the sets of parameters obtained is assessed for various steps of the considered aldol reaction, as well as for different substrates, catalysts, and reagents. This works indeed highlights the challenge of reaching transferable parameters for several reaction steps. (C) 2016 Wiley Periodicals, Inc.
引用
收藏
页码:2564 / 2572
页数:9
相关论文
共 50 条
  • [21] α,β-Dehydroamino Acid Synthesis through Proline-Catalyzed Aldol Condensation with a Glycine Schiff Base
    Sawamura, Jun
    Ieiri, Daikan
    Yazaki, Ryo
    Ohshima, Takashi
    PRECISION CHEMISTRY, 2023, 2 (01): : 14 - 20
  • [22] Theoretical study on the mechanisms of Proline-catalyzed Mannich reaction between acetaldehyde and N-Boc imines
    Chang, Qing
    Zhou, Jin
    Gan, Li-Hua
    JOURNAL OF PHYSICAL ORGANIC CHEMISTRY, 2012, 25 (08) : 667 - 673
  • [23] Consecutive proline-catalyzed aldol reactions and metal-mediated allylations:: Rapid entries to polypropionates
    Källström, S
    Erkkilä, A
    Pihko, PM
    Sjöholm, R
    Sillanpää, R
    Leino, R
    SYNLETT, 2005, (05) : 751 - 756
  • [24] Application of sequential proline-catalyzed α-chlorination and aldol reactions in the total synthesis of 1-deoxygalactonojirimycin
    Meanwell, Michael
    Sutherland, Mathew
    Britton, Robert
    CANADIAN JOURNAL OF CHEMISTRY, 2018, 96 (02) : 144 - 147
  • [25] Study on Reaction Sites of Active Structures in Coal Based on the ReaxFF Reactive Force Field
    Wang, Wenqing
    Li, Zongxiang
    Ding, Cong
    Lu, Bing
    Yu, Jingxiao
    Zhang, Hongjie
    ACS OMEGA, 2022, 7 (49): : 45265 - 45276
  • [26] Development, applications and challenges of ReaxFF reactive force field in molecular simulations
    Han, You
    Jiang, Dandan
    Zhang, Jinli
    Li, Wei
    Gan, Zhongxue
    Gu, Junjie
    FRONTIERS OF CHEMICAL SCIENCE AND ENGINEERING, 2016, 10 (01) : 16 - 38
  • [27] The Elusive Enamine Intermediate in Proline-Catalyzed Aldol Reactions: NMR Detection, Formation Pathway, and Stabilization Trends
    Schmid, Markus B.
    Zeitler, Kirsten
    Gschwind, Ruth M.
    ANGEWANDTE CHEMIE-INTERNATIONAL EDITION, 2010, 49 (29) : 4997 - 5003
  • [28] NMR Investigations on the Proline-Catalyzed Aldehyde Self-Condensation: Mannich Mechanism, Dienamine Detection, and Erosion of the Aldol Addition Selectivity
    Schmid, Markus B.
    Zeitler, Kirsten
    Gschwind, Ruth M.
    JOURNAL OF ORGANIC CHEMISTRY, 2011, 76 (09) : 3005 - 3015
  • [29] The Proline-Catalyzed Double Mannich Reaction of Acetaldehyde with N-Boc Imines
    Chandler, Carley
    Galzerano, Patrizia
    Michrowska, Anna
    List, Benjamin
    ANGEWANDTE CHEMIE-INTERNATIONAL EDITION, 2009, 48 (11) : 1978 - 1980
  • [30] Intelligent-ReaxFF: Evaluating the reactive force field parameters with machine learning
    Guo, Feng
    Wen, Yu-Shi
    Feng, Shi-Quan
    Li, Xiao-Dong
    Li, Heng-Shuai
    Cui, Shou-Xin
    Zhang, Zhen-Rong
    Hu, Hai-Quan
    Zhang, Gui-Qing
    Cheng, Xin-Lu
    COMPUTATIONAL MATERIALS SCIENCE, 2020, 172