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AmberTools14 and Amber14 were released on April 15, 2014


AMBER Workshop Announced
Barcelona Jun 2 - 6, 2014


Aug 2013, GTX-780 and Titan GPUs now officially supported. Updated benchmarks and recommended hardware available.


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The AMBER community congratulates Martin Karplus, Michael Levitt and Arieh Warshel
on the award of the 2013 Nobel Prize in chemistry.

 

Assisted Model Building with Energy Refinement

"Amber" refers to two things: a set of molecular mechanical force fields for the simulation of biomolecules (which are in the public domain, and are used in a variety of simulation programs); and a package of molecular simulation programs which includes source code and demos.

Amber is distributed in two parts: AmberTools14 and Amber14. You can use AmberTools14 without Amber14, but not vice versa. See below for information on how to obtain Amber14.

When citing Amber14 or AmberTools14 please use the following:

D.A. Case, V. Babin, J.T. Berryman, R.M. Betz, Q. Cai, D.S. Cerutti, T.E. Cheatham, III, T.A. Darden, R.E. Duke, H. Gohlke, A.W. Goetz, S. Gusarov, N. Homeyer, P. Janowski, J. Kaus, I. Kolossváry, A. Kovalenko, T.S. Lee, S. LeGrand, T. Luchko, R. Luo, B. Madej, K.M. Merz, F. Paesani, D.R. Roe, A. Roitberg, C. Sagui, R. Salomon-Ferrer, G. Seabra, C.L. Simmerling, W. Smith, J. Swails, R.C. Walker, J. Wang, R.M. Wolf, X. Wu and P.A. Kollman (2014), AMBER 14, University of California, San Francisco.

A good general overview of the Amber codes can be found in:

R. Salomon-Ferrer, D.A. Case, R.C. Walker. An overview of the Amber biomolecular simulation package. WIREs Comput. Mol. Sci. 3, 198-210 (2013). (PDF)

D.A. Case, T.E. Cheatham, III, T. Darden, H. Gohlke, R. Luo, K.M. Merz, Jr., A. Onufriev, C. Simmerling, B. Wang and R. Woods. The Amber biomolecular simulation programs. J. Computat. Chem. 26, 1668-1688 (2005).

An overview of the Amber protein force fields, and how they were developed, can be found in:
J.W. Ponder and D.A. Case. Force fields for protein simulations. Adv. Prot. Chem. 66, 27-85 (2003).

Similar information for nucleic acids is given by:
T.E. Cheatham, III and D.A. Case. Twenty-five years of nucleic acid simulations. Biopolymers, 99, 969-977 (2013).

For information about the GPU-accelerated code:

PME: R. Salomon-Ferrer, A.W. Goetz, D. Poole; S. Le Grand, and R.C. Walker Routine microsecond molecular dynamics simulations with AMBER - Part II: Particle Mesh Ewald. J. Chem. Theory Comput. 9, 3878-3888 (2013).

GB: A.W. Goetz, M.J. Williamson, D. Xu, D. Poole, S. Le Grand, and R.C. Walker. Routine microsecond molecular dynamics simulations with AMBER - Part I: Generalized Born. J. Chem. Theory Comput. 8, 1542-1555 (2012).  

Amber developers, January 2014

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AmberTools14 is now available!

AmberTools consists of several independently developed packages that work well by themselves, and with Amber itself. The suite can also be used to carry out complete molecular dynamics simulations, with either explicit water or generalized Born solvent models. The sander program is now a part of AmberTools.

AmberTools14 (released on April 15, 2014) consists of the following main codes:

NAB build molecules; run MD or distance geometry, using generalized Born, Poisson-Boltzmann or 3D-RISM implicit solvent models
antechamber and MCPB Create force fields for general organic molecules and metal centers
tleap Basic preparation program for Amber simulations
sqm semiempirical and DFTB quantum chemistry program
pbsa Performs numerical solutions to Poisson-Boltzmann models
3D-RISM Solves integral equation models for solvation
sander Workhorse program for molecular dynamics simulations
mdgx Explicit solvent molecular dynamics simulations
ptraj and cpptraj Structure and dynamics analysis of trajectories
MMPBSA.py and amberlite Energy-based analyses of MD trajectories

Amber14 is now available!

We are pleased to announce the release (on April 15, 2014) of version 14 of the Amber software suite. (How to order.) This represents a significant update from version 12, which was released in April, 2012. (There was no "unlucky" Amber13.) The major differences include:

  • Force fields: Amber has two new fixed-charge protein force fields, ff14SB and ff14ipq, a new modular lipid force field, Lipid14, and updates to nucleic acid and carbohydrate force fields.

  • Improved options for self-guided Langevin dynamics and accelerated molecular dynamics, to enchance sampling along soft degrees of freedom.

  • A completely reorganized Reference Manual

  • QM/MM calculations can interface with a variety of external quantum chemistry programs, expanding the types of quantum models available.

  • More features from sander have been added to pmemd for both CPU and GPU platforms, including performance improvements, and support for extra points, multi-dimension replica exchange, a Monte Carlo barostat, ScaledMD, Jarzynski sampling, explicit solvent constant pH, GBSA, and hydrogen mass repartitioning. Support is also included for the latest Kepler, Titan and GTX7xx GPUs.

  • Expanded methods are available for free energy calculations that change Hamiltonian models, including better procedures for appearing and disappearing atoms, and tighter integration with replica-exchange simulations, and a new absolute free energy method.

  • New facilities are present for using electron density maps (e.g. from cryo EM/ET experiments) as constraints, and to support rigid (or partially flexible) groups in simulations.

General information

Code overview

The release consists of about 50 programs, that work reasonably well together. The major programs are as follows:
  • sander: Simulated annealing with NMR-derived energy restraints. This allows for NMR refinement based on NOE-derived distance restraints, torsion angle restraints, and penalty functions based on chemical shifts and NOESY volumes. Sander is also the "main" program used for molecular dynamics simulations, and is also used for replica-exchange, thermodynamic integration, and potential of mean force (PMF) calculations. Sander also includes QM/MM capability.
     
  • pmemd: This is an extensively-modified version (originally by Bob Duke) of the sander program, optimized for periodic, PME simulations, and for GB simulations. It is faster than sander and scales better on parallel machines. and it includes NVIDIA GPU acceleration. In the code model we are now following, sander is the vehicle to explore new features, and pmemd is a "production" code that implements sander's most-used features in a well-tested fashion that performs well in high-performance environments.
     
  • NAB: Originally named as "nucleic acid builder", NAB is a specialized language for writing programs that manipulate molecules and carry out molecular mechanics or distance-geometry based modeling. NAB provides and interface to Poisson-Boltzmann and RISM integral-equation solvent models. The "amberlite" package uses NAB to study protein-ligand interaction energetics.
  • LEaP: LEaP is an X-windows-based program that provides for basic model building and Amber coordinate and parameter/topology input file creation. It includes a molecular editor which allows for building residues and manipulating molecules.
     
  • antechamber: This program suite automates the process of developing force field descriptors for most organic molecules. It starts with structures (usually in PDB format), and generates files that can be read into LEaP for use in molecular modeling. The force field description that is generated is designed to be compatible with the usual Amber force fields for proteins and nucleic acids. The MCPB code can assist in generating force fields for metal centers.
     
  • ptraj and cpptraj: These are used to analyze MD trajectories, computing a variety of things, like RMS deviation from a reference structure, hydrogen bonding analysis, time-correlation functions, diffusional behavior, and so on.
     
  • mm_pbsa and mmpbsa.py: These are scripts that automate post-processing of MD trajectories, to analyze energetics using continuum solvent ideas. It can be used to break energies energies into "pieces" arising from different residues, and to estimate free energy differences between conformational basins.

 

Benchmarks

Downloads

Amber-related links

The force field


How to obtain the Amber14 program package


General correspondence


The AMBER Mail Reflector

The Mail Reflector exists to provide a forum for discussions on the use of the Amber software and for release of bugfixes. Before posting please read the manual, consult the FAQ, and search the previous items discussed on the Amber Reflector using the Google search box provided on the archive site.
Mail reflectors distribute mail sent to the reflector address to all subscribers.

Only subscribers to the reflector can post. To join/unjoin the reflector, please see: http://lists.ambermd.org/mailman/listinfo/amber
To post or mail to the list (subscribers only), e-mail (in plain text) to:

Please use this list for discussion of Amber-specific issues only; in particular, announcements of general interest to the online chemistry community should be sent to the community's main reflector, chemistry@ccl.net. Amber users are encouraged to join this list as well, since it has a lot of useful information and since many other programs also use the Amber force fields.


Amber developers

Amber is developed in an active collaboration of David Case at Rutgers University, Tom Cheatham at the University of Utah, Ken Merz and Adrian Roitberg at Florida, Carlos Simmerling at SUNY-Stony Brook, Ray Luo at UC Irvine, Junmei Wang at UT Southwestern, Ross Walker at UC San Diego, and many others. Amber was originally developed under the leadership of Peter Kollman.

The photo at the left shows the Amber crew at its October, 2004 meeting in Stony Brook.

Below that is a group photo a joint CHARMM/Amber developers' meeting held in San Diego in July, 2003.

At the bottom left is an older photo of Amber developers, from a meeting in San Francisco in November, 2001:
front row:Jim Caldwell, Kennie Merz, Carlos Simmerling, Ray Luo
back row:Dave Case, Piotr Cieplak, Mike Crowley, Tom Cheatham, Tom Darden, Junmei Wang.

And, below, a older photo of Peter and Tom Cheatham, followed by a photo of the participants at the February, 2007 Amber Developers' Meetings on St. Simon Island, Georgia; more recent photos then follow.


St. Simon Island, 2009


Stony Brook, 2010


Athens, Georgia, 2011


Rutgers, 2012


Salt Lake City, 2013


Stony Brook, January 2014

The Amber14 authors are: D.A. Case, V. Babin, J.T. Berryman, R.M. Betz, Q. Cai, D.S. Cerutti, T.E. Cheatham, III, T.A. Darden, R.E. Duke, H. Gohlke, A.W. Goetz, S. Gusarov, N. Homeyer, P. Janowski, J. Kaus, I. Kolossváry, A. Kovalenko, T.S. Lee, S. LeGrand, T. Luchko, R. Luo, B. Madej, K.M. Merz, F. Paesani, D.R. Roe, A. Roitberg, C. Sagui, R. Salomon-Ferrer, G. Seabra, C.L. Simmerling, W. Smith, J. Swails, R.C. Walker, J. Wang, R.M. Wolf, X. Wu and P.A. Kollman.

Many people not listed in the author list helped add features to various codes; these contributions are outlined here.


Amber developers at work Amber developers at play Amber users after reading our documentation


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