NAMD, recipient of a 2002 Gordon Bell Award, a 2012 Sidney Fernbach Award, and a 2020 Gordon Bell Prize, is a parallel molecular dynamics code designed for high-performance simulation of large biomolecular systems. Based on Charm++ parallel objects, NAMD scales to hundreds of cores for typical simulations and beyond 500,000 cores for the largest simulations. NAMD uses the popular molecular graphics program VMD for simulation setup and trajectory analysis, but is also file-compatible with AMBER, CHARMM, and X-PLOR. NAMD is distributed free of charge with source code. You can build NAMD yourself or download binaries for a wide variety of platforms. Our tutorials show you how to use NAMD and VMD for biomolecular modeling.

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Breaking News

NAMD 3.0.3 Release - Point release 3.0.3 fixes an incorrect wrapping bug in spinAngle in the Colvars in NAMD 3.0, 3.0.1 and 3.0.2. See announce.txt for details regarding correctness issues in: eABF and any other methods relying on extended Langrangian dynamics. This point release also fixes crashes in the GPU-offload GBIS simulations.
We encourage all NAMD users to upgrade to version 3.0.3.

NAMD 3.0 New Features - webpage is posted

NAMD GPU-resident benchmarks - results and data sets with GPU-optimized configuration posted

NAMD 2.15 ALPHA Release providing GPU-offload support for Intel GPU Max Series. This source code release available on the download page includes SYCL code that can be built using the Intel oneAPI toolkits. Following the download link reveals a page with detailed build instructions.

Other Spotlights 

Spotlight: xMDFF Enhances X-Ray Structures (Aug 2014)

xMDFF

image size: 151.9KB
made with VMD

For many, the word 'X-ray' conjures up the images of white bones on black backgrounds hanging on the wall of a doctor's office. However, X-rays have played another important role for the past 100 years through their use in the determination of chemical structures at atomic level detail, starting with the first ever structure of table salt in 1924. Since then, the diffraction properties of X-rays, when shone on a crystal, have been used to solve increasingly large and complex structures including those of biological macromolecules found inside living cells. X-ray crystallography has become the most versatile and dominant technique for determining atomic structures of biomolecules, but despite its strengths, X-ray crystallography struggles in the case of large or flexible structures as well as in the case of membrane proteins, either of which diffract only at low resolutions. Because solving structures from low-resolution data is a difficult, time-consuming process, such data sets are often discarded. To face the challenges posed by low-resolution, new methods, such as xMDFF (Molecular Dynamics Flexible Fitting for X-ray Crystallography) described here, are being developed. xMDFF extends the popular MDFF software originally created for determining atomic-resolution structures from cryo-electron microscopy density maps (see the previous highlights Seeing Molecular Machines in Action, Open Sesame, Placing New Proteins, and Elusive HIV-1 Capsid). xMDFF provides a relatively easy solution to the difficult process of refining structures from low-resolution data. The method has been successfully applied to experimental data as described in a recent article where xMDFF refinement is explained in detail and its use is demonstrated. Together with electrophysiology experiments, xMDFF was also used to validate the first all-atom structure of the voltage sensing protein Ci-VSP, as also recently reported. More on our MDFF website.

Overview

Why NAMD? (in pictures)
How to Cite NAMD
Features and Capabilities
Performance Benchmarks
Publications and Citations
Credits and Development Team

Availability

Read the License
Download NAMD Binaries (also VMD)
Build from Source Code - Git access now available
Run at NCSA, SDSC, NICS, or Texas

Training

NAMD Developer Workshop in Urbana (August 19-20, 2019)
PRACE School on HPC for Life Sciences (June 10-13, 2019)
"Hands-On" Workshop in Pittsburgh (May 13-17, 2019)
Charm++ Workshop in Urbana (May 1-2, 2019)
Enhanced Sampling and Free-Energy Workshop (Sept 10-14, 2018)
NAMD Developer Workshop in Urbana (June 11-12, 2018)
"Hands-On" Workshop in Pittsburgh (May 21-25, 2018)
"Hands-On" QM/MM Simulation Workshop (April 5-7, 2018)
Older "Hands-On" Workshops

Support

Having Problems with NAMD?

NAMD Wiki (Recent Changes)
  
NAMD-L Mailing List (Archive)
  
Tutorial-L Mailing List (Archive)
  

Mailing List Issues for Yahoo.com Addresses

Announcements

NAMD 3.0.3 Release (Jul 2026)
NAMD 3.0.2 Release (Aug 2025)
NAMD 3.0.1 Release (Oct 2024)
NAMD 3.0 Release (Jun 2024)
NAMD 3.0 New Features (Feb 2024)
NAMD 2.14 Bug Fixes (Apr 2022)
NAMD 2.14 Release (Aug 2020)
NAMD 2.14 New Features
One-click NAMD/VMD in the cloud
QM/MM Interface to MOPAC and ORCA
QwikMD GUI Released in VMD 1.9.3
Previous Announcements

Documentation

NAMD 3.0.3 User's Guide
  
   (also 5.7M HTML or 4.5M PDF)
NAMD 3.0.3 Release Notes
Running Charm++ Programs (including NAMD)
Running GPU-Accelerated NAMD (from NVIDIA)
Introductory NAMD Tutorials
All NAMD & VMD Tutorials
  

Related Codes, Scripts, and Examples
NAMD Wiki (Recent Changes)
Older Documentation

News

Sparing healthy microbes while using a novel antibiotic
AMBER force field use in NAMD for large scale simulation
NAMD GPU-resident benchmarks available
NAMD and VMD share in COVID-19 Gordon Bell Special Prize
NAMD reference paper published online
Coronavirus Simulations by U. Delaware Team
Coronavirus Simulations on Frontera Supercomputer
Breakthrough Flu Simulations
Oak Ridge Exascale Readiness Program
Prepping for Next-Generation Cray at NERSC
Supercomputing HIV-1 Replication
How GPUs help in the fight against staph infections
Computational Microscope Gets Subatomic Resolution
Opening New Frontiers in the Battle Against HIV/AIDS
HIV Capsid Interacting with Environment
Assembling Life's Molecular Motor
Older News Items