NanoModeler
NanoModeler models and parametrizes monolayer-protected metal nanoparticles at coarse-grained resolution to enable coarse-grained molecular dynamics simulations and the engineering of functional nanoparticles.
Key Features:
- Coarse-Grained Resolution: Operates at a coarse-grained level to enable coarse-grained molecular dynamics (MD) simulations while reducing computational complexity.
- NanoModeler CG variant: Implements the coarse-grained extension for construction and parametrization of monolayer-protected metal NPs.
- Core Shapes and Monolayer Morphologies: Supports eight distinct core shapes and eight monolayer morphologies and can represent systems with up to 800,000 coarse-grained beads.
- Force Field Compatibility: Generates topologies compatible with the Martini force field and can extend parameters to other force fields by parsing custom input.
- Automated Construction and Parametrization: Automates the construction and parametrization of functionalized and monolayer-protected nanoparticles, including functionalized gold NPs and other metals.
Scientific Applications:
- Structural validation: Reproduces experimental structural characteristics of alkylthiolated nanoparticles to validate theoretical models against empirical data.
- Surface phase behavior: Rationalizes brush-to-mushroom phase transitions observed in PEGylated anionic nanoparticles to inform design of surface properties.
- Domain applications: Supports studies in biotechnology, materials science, and energy conversion involving interactions of monolayer-protected NPs with different matrices.
Methodology:
Constructs and parametrizes monolayer-protected metal nanoparticles at coarse-grained resolution, generates Martini-compatible topologies, parses custom input to extend parameters to other force fields, and automates preparation of functionalized gold NPs and other metals.
Topics
Details
- Cost:
- Free of charge
- Tool Type:
- web application
- Operating Systems:
- Mac, Linux, Windows
- Added:
- 3/18/2023
- Last Updated:
- 3/18/2023
Operations
Data Inputs & Outputs
Publications
Franco-Ulloa S, Riccardi L, Rimembrana F, Grottin E, Pini M, De Vivo M. NanoModeler CG: A Tool for Modeling and Engineering Functional Nanoparticles at a Coarse-Grained Resolution. Journal of Chemical Theory and Computation. 2023;19(5):1582-1591. doi:10.1021/acs.jctc.2c01029. PMID:36795071. PMCID:PMC10018737.