Litcius/Paper detail

Multiscale electrostatic embedding simulations for modeling structure and dynamics of molecules in solution: A tutorial review

Asmus Ougaard Dohn

2020International Journal of Quantum Chemistry61 citationsDOIOpen Access PDF

Abstract

Abstract The main concepts and important technical details of electrostatic embedding quantum mechanics/molecular mechanics (QM/MM) simulations are explained and illustrated with the intent of assisting newcomers in performing and gauging the accuracy of such simulations, focused on smaller molecules in solution. Beginners are advised on how to increase the reliability and accuracy of the simulations through benchmarking. Central considerations on methodologies for QM/MM Molecular Dynamics (MD) simulations are presented, alongside technical fundamentals regarding the construction and manipulation of simulation systems using the python‐based Atomic Simulation Environment (ASE). A worked example of QM/MM Born–Oppenheimer MD is included, and a flowchart summarizing the most salient decisions and tasks within the methodology is presented.

Topics & Concepts

Molecular dynamicsPython (programming language)Computer scienceEmbeddingBenchmarkingStatistical physicsFlowchartComputational scienceComputational chemistryChemistryPhysicsArtificial intelligenceBusinessProgramming languageOperating systemMarketingSpectroscopy and Quantum Chemical StudiesQuantum and electron transport phenomenaMolecular Junctions and Nanostructures