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SMOG 2 and OpenSMOG: Extending the limits of structure-based models.

Authors :
de Oliveira AB Jr
Contessoto VG
Hassan A
Byju S
Wang A
Wang Y
Dodero-Rojas E
Mohanty U
Noel JK
Onuchic JN
Whitford PC
Source :
Protein science : a publication of the Protein Society [Protein Sci] 2022 Jan; Vol. 31 (1), pp. 158-172. Date of Electronic Publication: 2021 Nov 01.
Publication Year :
2022

Abstract

Applying simulations with structure-based G o ¯ - like models has proven to be an effective strategy for investigating the factors that control biomolecular dynamics. The common element of these models is that some (or all) of the intra/inter-molecular interactions are explicitly defined to stabilize an experimentally determined structure. To facilitate the development and application of this broad class of models, we previously released the SMOG 2 software package. This suite allows one to easily customize and distribute structure-based (i.e., SMOG) models for any type of polymer-ligand system. The force fields generated by SMOG 2 may then be used to perform simulations in highly optimized MD packages, such as Gromacs, NAMD, LAMMPS, and OpenMM. Here, we describe extensions to the software and demonstrate the capabilities of the most recent version (SMOG v2.4.2). Changes include new tools that aid user-defined customization of force fields, as well as an interface with the OpenMM simulation libraries (OpenSMOG v1.1.0). The OpenSMOG module allows for arbitrary user-defined contact potentials and non-bonded potentials to be employed in SMOG models, without source-code modifications. To illustrate the utility of these advances, we present applications to systems with millions of atoms, long polymers and explicit ions, as well as models that include non-structure-based (e.g., AMBER-based) energetic terms. Examples include large-scale rearrangements of the SARS-CoV-2 Spike protein, the HIV-1 capsid with explicit ions, and crystallographic lattices of ribosomes and proteins. In summary, SMOG 2 and OpenSMOG provide robust support for researchers who seek to develop and apply structure-based models to large and/or intricate biomolecular systems.<br /> (© 2021 The Protein Society.)

Details

Language :
English
ISSN :
1469-896X
Volume :
31
Issue :
1
Database :
MEDLINE
Journal :
Protein science : a publication of the Protein Society
Publication Type :
Academic Journal
Accession number :
34655449
Full Text :
https://doi.org/10.1002/pro.4209