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myPresto/omegagene 2020: a molecular dynamics simulation engine for virtual-system coupled sampling

Kota Kasahara, Hiroki Terazawa, Hayato Itaya, Satoshi Goto, Haruki Nakamura, Takuya Takahashi, Junichi Higo

2020Biophysics and Physicobiology16 citationsDOIOpen Access PDF

Abstract

The molecular dynamics (MD) method is a promising approach for investigating the molecular mechanisms of microscopic phenomena. In particular, generalized ensemble MD methods can efficiently explore the conformational space with a rugged free-energy surface. However, the implementation and acquisition of technical knowledge for each generalized ensemble MD method are not straightforward for end-users. Here, we present a new version of the myPresto/omegagene software, which is an MD simulation engine tailored for a series of generalized ensemble methods, which are virtual-system coupled multicanonical MD (V-McMD), virtual-system coupled adaptive umbrella sampling (V-AUS), and virtual-system coupled canonical MD (VcMD). This program has been applied in several studies analyzing free-energy landscapes of a variety of molecular systems with all-atom simulations. The updated version provides new functionality for coarse-grained simulations powered by the hydrophobicity scale method. The software package includes a step-by-step tutorial document for enhanced conformational sampling of the poly-glutamine (poly-Q) oligomer expressed as a one-bead per residue model. The myPresto/omegagene software is freely available at the following URL: https://github.com/kotakasahara/omegagene under the Apache2 license.

Topics & Concepts

Molecular dynamicsComputer scienceSoftwareUmbrella samplingVirtual screeningSampling (signal processing)Computational scienceStatistical physicsChemistryComputational chemistryPhysicsProgramming languageComputer visionFilter (signal processing)Protein Structure and DynamicsMachine Learning in Materials ScienceAdvanced NMR Techniques and Applications