TY - JOUR
T1 - Two decades of Martini
T2 - Better beads, broader scope
AU - Marrink, Siewert J.
AU - Monticelli, Luca
AU - Melo, Manuel N.
AU - Alessandri, Riccardo
AU - Tieleman, D. Peter
AU - Souza, Paulo C.T.
N1 - Funding Information:
Work in DPTs group is supported by the Natural Sciences and Engineering Research Council (Canada). Further support came from the Canada Research Chairs program. Riccardo Alessandri is supported by the Dutch Research Council (NWO Rubicon 019.202EN.028). Luca Monticelli is supported by the French National Institute of Health and Medical Research (INSERM). Paulo C. T. Souza is supported by French National Center for Scientific Research (CNRS). Further funding of Paulo C. T. Souza and Luca Monticelli came from a research collaboration with PharmCADD. Siewert J. Marrink is supported by an Advanced Grant (COMP‐O‐CELL) from the European Research Council.
Publisher Copyright:
© 2022 The Authors. WIREs Computational Molecular Science published by Wiley Periodicals LLC.
PY - 2023/1/1
Y1 - 2023/1/1
N2 - The Martini model, a coarse-grained force field for molecular dynamics simulations, has been around for nearly two decades. Originally developed for lipid-based systems by the groups of Marrink and Tieleman, the Martini model has over the years been extended as a community effort to the current level of a general-purpose force field. Apart from the obvious benefit of a reduction in computational cost, the popularity of the model is largely due to the systematic yet intuitive building-block approach that underlies the model, as well as the open nature of the development and its continuous validation. The easy implementation in the widely used Gromacs software suite has also been instrumental. Since its conception in 2002, the Martini model underwent a gradual refinement of the bead interactions and a widening scope of applications. In this review, we look back at this development, culminating with the release of the Martini 3 version in 2021. The power of the model is illustrated with key examples of recent important findings in biological and material sciences enabled with Martini, as well as examples from areas where coarse-grained resolution is essential, namely high-throughput applications, systems with large complexity, and simulations approaching the scale of whole cells. This article is categorized under: Software > Molecular Modeling Molecular and Statistical Mechanics > Molecular Dynamics and Monte-Carlo Methods Structure and Mechanism > Computational Materials Science Structure and Mechanism > Computational Biochemistry and Biophysics.
AB - The Martini model, a coarse-grained force field for molecular dynamics simulations, has been around for nearly two decades. Originally developed for lipid-based systems by the groups of Marrink and Tieleman, the Martini model has over the years been extended as a community effort to the current level of a general-purpose force field. Apart from the obvious benefit of a reduction in computational cost, the popularity of the model is largely due to the systematic yet intuitive building-block approach that underlies the model, as well as the open nature of the development and its continuous validation. The easy implementation in the widely used Gromacs software suite has also been instrumental. Since its conception in 2002, the Martini model underwent a gradual refinement of the bead interactions and a widening scope of applications. In this review, we look back at this development, culminating with the release of the Martini 3 version in 2021. The power of the model is illustrated with key examples of recent important findings in biological and material sciences enabled with Martini, as well as examples from areas where coarse-grained resolution is essential, namely high-throughput applications, systems with large complexity, and simulations approaching the scale of whole cells. This article is categorized under: Software > Molecular Modeling Molecular and Statistical Mechanics > Molecular Dynamics and Monte-Carlo Methods Structure and Mechanism > Computational Materials Science Structure and Mechanism > Computational Biochemistry and Biophysics.
KW - coarse graining
KW - Martini force field
KW - molecular dynamics
UR - http://www.scopus.com/inward/record.url?scp=85132565104&partnerID=8YFLogxK
U2 - 10.1002/wcms.1620
DO - 10.1002/wcms.1620
M3 - Review article
AN - SCOPUS:85132565104
SN - 1759-0876
VL - 13
JO - Wiley Interdisciplinary Reviews: Computational Molecular Science
JF - Wiley Interdisciplinary Reviews: Computational Molecular Science
IS - 1
M1 - e1620
ER -