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What is NAMD?

NAMD stands as a high-performance parallel molecular dynamics software designed explicitly for simulating large biomolecular systems. It employs Charm++ parallel objects, enabling it to scale effectively from everyday personal computers to sophisticated parallel systems, handling hundreds of cores for typical simulations and even surpassing 500,000 cores for the most complex scenarios. This software is crafted for scientists focused on executing efficient simulations of extensive molecular systems while ensuring it integrates seamlessly with widely used molecular modeling workflows. NAMD works in conjunction with the renowned molecular graphics tool VMD, facilitating both the setup of simulations and the analysis of trajectories, while ensuring compatibility with file formats from AMBER, CHARMM, and X-PLOR. Additionally, it is meticulously designed to support biomolecular simulations involving proteins, membranes, nucleic acids, solvents, ions, and various other molecular entities, thereby allowing for a detailed investigation of atomic interactions and dynamic processes over time. Researchers can thus depend on NAMD for valuable insights into the complexities of molecular dynamics, ultimately enhancing their understanding of the underlying biological mechanisms at play.

What is ESMFold2?

Building upon its predecessor, ESMFold, ESMFold2 sets a new standard in the realm of single-sequence structure prediction while also enabling the design of novel functional proteins by delving into the latent space of the ESMC model. This sophisticated model can accurately predict high-resolution, all-atom 3D structures of biomolecular complexes directly from amino acid sequences and incorporates multiple sequence alignments to enhance accuracy for challenging targets. Designed to predict structures using both sequence and structural modalities, it utilizes ESM representations that power a sequence of looped folding layers, while a diffusion model converts pairwise representations into atomic-resolution results. ESMFold2 stands out in its ability to forecast protein structures from amino acid sequences, providing comprehensive structural information, including exact all-atom coordinates for backbone and side chains, as well as confidence metrics and optional distogram predictions for thorough structural analysis. In addition, its groundbreaking methodology deepens the understanding of protein folding dynamics and their functional implications, positioning it as an indispensable tool for researchers engaging in this area of study. Ultimately, ESMFold2 not only advances structural biology but also opens new avenues for the development of protein-based applications.

Media

Media

Integrations Supported

Biohub
Python

Integrations Supported

Biohub
Python

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Trial Offered?
Free Version

Pricing Information

Free
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Theoretical and Computational Biophysics Group

Date Founded

2006

Company Location

United States

Company Website

www.ks.uiuc.edu/Research//namd/

Company Facts

Organization Name

Biohub

Date Founded

2016

Company Location

United States

Company Website

biohub.ai/models/esmfold2

Categories and Features

Categories and Features

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