Abalone (molecular mechanics)

Last updated
Abalone
Developer(s) Agile Molecule
Initial release2006;15 years ago (2006)
Stable release
2.1.4.2
Operating system Windows XP/7/8/10
Platform x86, Nvidia GPU CUDA
Available inEnglish
Type Molecular dynamics, molecular graphics
License Proprietary
Website www.biomolecular-modeling.com/Abalone
Protein model on Abalone Chaperonin-1AON.png
Protein model on Abalone
DNA model on Abalone DNA-ligand-by-Abalone.png
DNA model on Abalone

Abalone is a general purpose molecular dynamics and molecular graphics program for simulations of bio-molecules in a periodic boundary conditions in explicit (flexible SPC water model [1] ) or in implicit water models. [2] Mainly designed to simulate the protein folding and DNA-ligand complexes in AMBER force field.

Contents

Key features

See also

Related Research Articles

Computational chemistry is a branch of chemistry that uses computer simulation to assist in solving chemical problems. It uses methods of theoretical chemistry, incorporated into efficient computer programs, to calculate the structures and properties of molecules and solids. It is necessary because, apart from relatively recent results concerning the hydrogen molecular ion, the quantum many-body problem cannot be solved analytically, much less in closed form. While computational results normally complement the information obtained by chemical experiments, it can in some cases predict hitherto unobserved chemical phenomena. It is widely used in the design of new drugs and materials.

Molecular dynamics Computer simulations to discover and understand chemical properties

Molecular dynamics (MD) is a computer simulation method for analyzing the physical movements of atoms and molecules. The atoms and molecules are allowed to interact for a fixed period of time, giving a view of the dynamic "evolution" of the system. In the most common version, the trajectories of atoms and molecules are determined by numerically solving Newton's equations of motion for a system of interacting particles, where forces between the particles and their potential energies are often calculated using interatomic potentials or molecular mechanics force fields. The method is applied mostly in chemical physics, materials science, and biophysics.

AMBER

Assisted Model Building with Energy Refinement (AMBER) is a family of force fields for molecular dynamics of biomolecules originally developed by Peter Kollman's group at the University of California, San Francisco. AMBER is also the name for the molecular dynamics software package that simulates these force fields. It is maintained by an active collaboration between David Case at Rutgers University, Tom Cheatham at the University of Utah, Adrian Roitberg at University of Florida, Ken Merz at Michigan State University, Carlos Simmerling at Stony Brook University, Ray Luo at UC Irvine, and Junmei Wang at Encysive Pharmaceuticals.

Chemistry at Harvard Macromolecular Mechanics (CHARMM) is the name of a widely used set of force fields for molecular dynamics, and the name for the molecular dynamics simulation and analysis computer software package associated with them. The CHARMM Development Project involves a worldwide network of developers working with Martin Karplus and his group at Harvard to develop and maintain the CHARMM program. Licenses for this software are available, for a fee, to people and groups working in academia.

Molecular mechanics

Molecular mechanics uses classical mechanics to model molecular systems. The Born–Oppenheimer approximation is assumed valid and the potential energy of all systems is calculated as a function of the nuclear coordinates using force fields. Molecular mechanics can be used to study molecule systems ranging in size and complexity from small to large biological systems or material assemblies with many thousands to millions of atoms.

Molecular modelling Discovering chemical properties by physical simulations

Molecular modelling encompasses all methods, theoretical and computational, used to model or mimic the behaviour of molecules. The methods are used in the fields of computational chemistry, drug design, computational biology and materials science to study molecular systems ranging from small chemical systems to large biological molecules and material assemblies. The simplest calculations can be performed by hand, but inevitably computers are required to perform molecular modelling of any reasonably sized system. The common feature of molecular modelling methods is the atomistic level description of the molecular systems. This may include treating atoms as the smallest individual unit, or explicitly modelling protons and neutrons with its quarks, anti-quarks and gluons and electrons with its photons.

Parallel tempering, also known as replica exchange MCMC sampling, is a simulation method aimed at improving the dynamic properties of Monte Carlo method simulations of physical systems, and of Markov chain Monte Carlo (MCMC) sampling methods more generally. The replica exchange method was originally devised by Swendsen and Wang then extended by Geyer and later developed, among others, by Hukushima and Nemoto, Giorgio Parisi, Sugita and Okamoto formulated a molecular dynamics version of parallel tempering: this is usually known as replica-exchange molecular dynamics or REMD.

Force field (chemistry) Concept on molecular modeling

In the context of chemistry and molecular modelling, a force field is a computational method that is used to estimate the forces between atoms within molecules and also between molecules. More precisely, the force field refers to the functional form and parameter sets used to calculate the potential energy of a system of atoms or coarse-grained particles in molecular mechanics, molecular dynamics, or Monte Carlo simulations. The parameters for a chosen energy function may be derived from experiments in physics and chemistry, calculations in quantum mechanics, or both. Force fields are interatomic potentials and utilize the same concept as force fields in classical physics, with the difference that the force field parameters in chemistry describe the energy landscape, from which the acting forces on every particle are derived as a gradient of the potential energy with respect to the particle coordinates.

Tinker, stylized as TINKER, is a computer software application for molecular dynamics simulation with a complete and general package for molecular mechanics and molecular dynamics, with some special features for biopolymers. The core of the package is a modular set of callable routines which allow manipulating coordinates and evaluating potential energy and derivatives via straightforward means.

Water model

In computational chemistry, a water model is used to simulate and thermodynamically calculate water clusters, liquid water, and aqueous solutions with explicit solvent. The models are determined from quantum mechanics, molecular mechanics, experimental results, and these combinations. To imitate a specific nature of molecules, many types of models have been developed. In general, these can be classified by the following three points; (i) the number of interaction points called site, (ii) whether the model is rigid or flexible, (iii) whether the model includes polarization effects.

This is a list of computer programs that are predominantly used for molecular mechanics calculations.

Molecular design software is notable software for molecular modeling, that provides special support for developing molecular models de novo.

Molecular modeling on GPUs

Molecular modeling on GPU is the technique of using a graphics processing unit (GPU) for molecular simulations.

MDynaMix

Molecular Dynamics of Mixtures (MDynaMix) is a computer software package for general purpose molecular dynamics to simulate mixtures of molecules, interacting by AMBER- and CHARMM-like force fields in periodic boundary conditions. Algorithms are included for NVE, NVT, NPT, anisotropic NPT ensembles, and Ewald summation to treat electrostatic interactions. The code was written in a mix of Fortran 77 and 90. The package runs on Unix and Unix-like (Linux) workstations, clusters of workstations, and on Windows in sequential mode.

Desmond is a software package developed at D. E. Shaw Research to perform high-speed molecular dynamics simulations of biological systems on conventional computer clusters. The code uses novel parallel algorithms and numerical methods to achieve high performance on platforms containing multiple processors, but may also be executed on a single computer.

This is a list of notable computer programs that are used for nucleic acids simulations.

Biochemical and Organic Simulation System (BOSS) is a general-purpose molecular modeling program that performs molecular mechanics calculations, Metropolis Monte Carlo statistical mechanics simulations, and semiempirical Austin Model 1 (AM1), PM3, and PDDG/PM3 quantum mechanics calculations. The molecular mechanics calculations cover energy minimizations, normal mode analysis and conformational searching with the Optimized Potentials for Liquid Simulations (OPLS) force fields. BOSS is developed by Prof. William L. Jorgensen at Yale University, and distributed commercially by Cemcomco, LLC and Schrödinger, Inc.

Ascalaph Designer

Ascalaph Designer is a computer program for general purpose molecular modelling for molecular design and simulations. It provides a graphical environment for the common programs of quantum and classical molecular modelling ORCA, NWChem, Firefly, CP2K and MDynaMix . The molecular mechanics calculations cover model building, energy optimizations and molecular dynamics. Firefly covers a wide range of quantum chemistry methods. Ascalaph Designer is free and open-source software, released under the GNU General Public License, version 2 (GPLv2).

MacroModel is a computer program for molecular modelling of organic compounds and biopolymers. It features various chemistry force fields, plus energy minimizing algorithms, to predict geometry and relative conformational energies of molecules. MacroModel is maintained by Schrödinger, LLC.

References

  1. Toukan K & Rahman A (1985). "Molecular-dynamics study of atomic motions in water". Physical Review B. 31 (5): 2643–2648. Bibcode:1985PhRvB..31.2643T. doi:10.1103/PhysRevB.31.2643.
  2. Still WC, Tempczyk A, Hawley RC, Hendrickson T (1990). "Semianalytical treatment of solvation for molecular mechanics and dynamics". J Am Chem Soc. 112 (16): 6127–6129. doi:10.1021/ja00172a038.
  3. Y. Sugita & Y. Okamoto (1999). "Replica-exchange molecular dynamics method for protein folding". Chemical Physics Letters. 314: 141–151. Bibcode:1999CPL...314..141S. doi:10.1016/S0009-2614(99)01123-9.