AmberTools
AmberTools performs molecular dynamics simulations and related analyses for studies of proteins, nucleic acids, and carbohydrates.
Key Features:
- Modular Design: Comprises several independently developed packages that can function autonomously or with the core AMBER program.
- Molecular Dynamics Simulations (NAB): Supports non-periodic molecular dynamics via the NAB (Non-Periodic Boundary) module for simulations without periodic boundary constraints.
- Solvent Models: Includes generalized Born implicit solvent models to represent solvation effects on biomolecular systems.
- Free Energy Calculations: Provides tools for free energy calculations to quantify thermodynamic properties and molecular interactions.
- Model Building and Energy Refinement: Offers functionality for model building and energy refinement alongside dynamic simulation of proteins, nucleic acids, and carbohydrates.
Scientific Applications:
- Protein Folding and Stability Analysis: Used to investigate protein folding pathways, conformational changes, and stability.
- Drug Design and Discovery: Applied in virtual screening and molecular docking studies to evaluate interactions between small molecules and target proteins.
- Nucleic Acid Dynamics: Employed to study dynamic behavior and folding of nucleic acids and RNA structures.
- Carbohydrate Modeling: Supports detailed modeling and simulation of carbohydrate structures for studying their biological roles.
Methodology:
Uses classical molecular dynamics including NAB non-periodic boundary calculations, generalized Born implicit solvent models, energy refinement algorithms, and free energy calculation methods.
Topics
Details
- Tool Type:
- workflow
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- C++, Fortran, C
- Added:
- 8/3/2017
- Last Updated:
- 11/25/2024
Operations
Data Inputs & Outputs
Molecular dynamics simulation
Publications
Case DA, Cheatham TE, Darden T, Gohlke H, Luo R, Merz KM, Onufriev A, Simmerling C, Wang B, Woods RJ. The Amber biomolecular simulation programs. Journal of Computational Chemistry. 2005;26(16):1668-1688. doi:10.1002/jcc.20290. PMID:16200636. PMCID:PMC1989667.
Documentation
General
http://ambermd.org/doc12/