4.5 Article

Vienna soil organic matter modeler 2 (VSOMM2)

Journal

JOURNAL OF MOLECULAR GRAPHICS & MODELLING
Volume 103, Issue -, Pages -

Publisher

ELSEVIER SCIENCE INC
DOI: 10.1016/j.jmgm.2020.107817

Keywords

In silico modeling; GROMOS; Humic substances; Molecular dynamics

Funding

  1. Austrian Science Fund (FWF) [30224N34]

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Soil Organic Matter (SOM) plays a crucial role in biogeochemical processes, but there is still incomplete understanding of its composition and structure. The Vienna Soil-Organic-Matter Modeler generates computer models of SOM using IHSS data and different types of soil, improving chemical and geometric diversity.
Soil Organic Matter (SOM) plays an important role in several biogeochemical processes by directly affecting the microbial activity, soil aggregation, plant growth and carbon storage. Despite of its importance, our understanding of its composition and structure is still incomplete. Several experiments using elemental analysis, nuclear magnetic resonance (NMR) and mass spectrometry (MS) shed light on the structure of organic matter. In this context, the Vienna Soil-Organic-Matter Modeler (https://somm. boku.ac.at/) is a website that generates condensed phase computer models of Soil-Organic-Matter (SOM). Most of the data comes from standardized samples by the International Humic Substances Association (IHSS), which uses a specific methodology to extract organic compounds from soil, called humic substances. We have improved the modeler by increasing the pool of elemental units that compose our SOM molecules called building blocks, and also by implementing a genetic algorithm that increases the chemical and geometric diversity of the models. This allowed us to create models using the IHSS data as well as different types of soil. The webserver uses as an input principally the elemental and organic composition and offers input files needed to run molecular dynamic (MD) simulations of solvated and neutralized SOM within the framework of the GROMOS 54A7 forcefield and the GROMOS and GROMACS simulation packages. (c) 2020 The Author(s). Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

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