pyPolyBuilder

pyPolyBuilder generates molecular topologies and initial configurations for classical molecular dynamics of arbitrary supramolecules, including linear polymer chains and branched structures such as dendrimers.


Key Features:

  • Versatility: Generates topologies for a wide range of supramolecular systems beyond traditional biomolecules, including large branched molecules and dendrimers.
  • Automation: Automates creation of molecular topology files for complex molecular structures to streamline simulation setup.
  • Starting Structure Generation: Produces reasonable initial configurations suitable for classical molecular dynamics simulations.
  • Implementation and Compatibility: Implemented in Python and designed for compatibility with multiple molecular simulation engines.

Scientific Applications:

  • Nonbiological supramolecular modeling: Preparation of topologies and starting structures for supramolecular systems that are not well served by biomolecular tools.
  • Materials science: Enabling molecular dynamics studies of polymeric and supramolecular materials to investigate their properties.
  • Nanotechnology: Modeling branched and dendritic nanostructures for simulation-based characterization.
  • Polymer chemistry: Supporting simulations of linear polymer chains and complex branched polymers such as dendrimers.

Methodology:

Implemented in Python and automates generation of molecular topology files and reasonable starting configurations for classical molecular dynamics, with outputs compatible with multiple simulation engines.

Topics

Details

License:
MIT
Tool Type:
command-line tool
Programming Languages:
Python
Added:
11/29/2021
Last Updated:
11/29/2021

Operations

Publications

Ramos MC, Quoika PK, Horta VAC, Dias DM, Costa EG, do Amaral JLM, Ribeiro LM, Liedl KR, Horta BAC. pyPolyBuilder: Automated Preparation of Molecular Topologies and Initial Configurations for Molecular Dynamics Simulations of Arbitrary Supramolecules. Journal of Chemical Information and Modeling. 2021;61(4):1539-1544. doi:10.1021/acs.jcim.0c01438. PMID:33819017.

PMID: 33819017
Funding: - Horizon 2020 Framework Programme: 764958 - Coordena??o de Aperfei?oamento de Pessoal de N?vel Superior: 001

Links