Fast-Forward: Automatic Assignment and Assessment of Bonded Parameters for the Martini Force Field

Abstract Coarse-grained molecular dynamics simulations of bio- and macromolecular systems offer a method of accessing otherwise unobtainable time and length scales, compared to atomistic simulation techniques. However, a limiting step is often the generation and validation of the coarse-grained models. Here, we describe a new software package, Fast-Forward, which aids parametrization of models for the widely used Martini coarse-grained force field. In comparison to other similar packages, Fast-Forward offers a system-agnostic suite of tools to parametrize molecules of any size, existing in any environment. It achieves this while maintaining ease of use and the use of interoperable file formats from the Martini software ecosystem. Through its three subprograms, the package offers tools for trajectory mapping, parameter generation, and model validation. We demonstrate the potential of the package for several different use cases, from small biological molecules (glutathione and glutathione disulfide) to models of synthetic polymers (poly(methyl methacrylate), PMMA).

Authors

Institutions

Publication Details

Journal
Journal of Chemical Information and Modeling
Published
2026-08-19
DOI
https://doi.org/10.1021/acs.jcim.6c01107
Citations
1
Primary Topic
Material Selection and Properties
Type
article
Field-Weighted Citation Impact
2.15

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Fast-Forward: Automatic Assignment and Assessment of Bonded Parameters for the Martini Force Field

‪Siewert J. Marrink, Christopher Brasnett, Maximilian Fidlin, Thilo Duve et al.
1 citations
Journal of Chemical Information and Modeling
Material Selection and Properties
2.15
article

Fast-Forward: Automatic Assignment and Assessment of Bonded Parameters for the Martini Force Field

‪Siewert J. Marrink, Christopher Brasnett, Maximilian Fidlin, Thilo Duve, Fabian Grünewald, Sebastian Thallmair
article en
1 citations

Abstract

Abstract Coarse-grained molecular dynamics simulations of bio- and macromolecular systems offer a method of accessing otherwise unobtainable time and length scales, compared to atomistic simulation techniques. However, a limiting step is often the generation and validation of the coarse-grained models. Here, we describe a new software package, Fast-Forward, which aids parametrization of models for the widely used Martini coarse-grained force field. In comparison to other similar packages, Fast-Forward offers a system-agnostic suite of tools to parametrize molecules of any size, existing in any environment. It achieves this while maintaining ease of use and the use of interoperable file formats from the Martini software ecosystem. Through its three subprograms, the package offers tools for trajectory mapping, parameter generation, and model validation. We demonstrate the potential of the package for several different use cases, from small biological molecules (glutathione and glutathione disulfide) to models of synthetic polymers (poly(methyl methacrylate), PMMA).

Journal of Chemical Information and Modeling
Goethe University Frankfurt (DE), University of Groningen (NL), Heidelberg University (DE), Frankfurt Institute for Advanced Studies (DE), Heidelberg Institute for Theoretical Studies (DE)
Deutsche Forschungsgemeinschaft, Klaus Tschira Stiftung, H2020 European Research Council
Climate action
Openalex Percentile: Top 15%
Material Selection and Properties
2.15
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.