Journal of Chemical Theory and Computation · 2019 · 44 citations · 42 references
Natural SciencesComputer ScienceComputational ChemistryAb Initio MethodsEnergy MinimizationGlobal OptimizationParallel Numerical MethodsElectrostatic Field CalculationsLong-range Electrostatic Interactions
The QM/MM method has become a useful tool to investigate various properties of complex systems. We previously introduced the layered interacting chemical models (LICHEM) package to enable QM/MM simulations with advanced potentials by combining various (unmodified) QM and MM codes ( J. Comp. Chem., 2016, 37, 1019). LICHEM provides several capabilities such as the ability to use polarizable force fields, such as AMOEBA, for the MM environment. Here, we describe an updated version of LICHEM (v1.1), which includes several new functionalities including a new method to account for long-range electrostatic effects in QM/MM (QM/MM-LREC), a new implementation for QM/MM with the Gaussian electrostatic model (GEM), and new capabilities for path optimizations using the quadratic string model (QSM) coupled with restrained MM environment optimization.
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Current Status of the AMOEBA Polarizable Force Field
Jay W. Ponder, Chuanjie Wu, Pengyu Ren et al. · The Journal of Physical Chemistry B · 2010 · 1.5K citations · Full text
Robert M. Parrish, Lori A. Burns, Daniel G. A. Smith et al. · Journal of Chemical Theory and Computation · 2017 · 1.2K citations · Full text
Natural Sciences, Chemistry, Physics +17