ESMC

ESMC

Biohub
NAMD

NAMD

Theoretical and Computational Biophysics Group
+
+

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About

ESMC is the latest in the ESM family of protein language models, establishing a new frontier in representation learning for protein biology. Trained on billions of evolutionary sequences, it learns representations that reflect a mechanistic reduction of protein structure and function. The model is built on a transformer architecture, supports sequences as its core modality, and is trained on up to 6 billion proteins. ESMC is designed for protein science research, including structure prediction, function annotation, protein design, and understanding evolutionary relationships between proteins. It can generate novel proteins from partial sequence, structure, or functional constraints, helping researchers explore new possibilities in protein design and biological discovery. The Biohub Platform provides access to ESMC through the API and the ESM Python package, with quickstart resources for installing the package, creating an API key, connecting to the platform.

About

NAMD is a parallel molecular dynamics code designed for high-performance simulation of large biomolecular systems. Based on Charm++ parallel objects, it scales from desktop and laptop computers to high-end parallel platforms, hundreds of cores for typical simulations, and beyond 500,000 cores for the largest simulations. NAMD is built for researchers who need to simulate large molecular systems efficiently while preserving compatibility with widely used molecular modeling workflows. It uses the popular molecular graphics program VMD for simulation setup and trajectory analysis, and it is file-compatible with AMBER, CHARMM, and X-PLOR. It is designed to support biomolecular simulations involving proteins, membranes, nucleic acids, solvents, ions, and other molecular systems where atomic interactions and time-dependent motion need to be studied in detail.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Protein science researchers who need transformer-based sequence representations for structure prediction, function annotation, mutation analysis, and protein design

Audience

Biophysicists, structural biologists, and molecular simulation researchers requiring a biomolecular simulation tool for desktops, clusters, GPUs, and supercomputers

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Biohub
Founded: 2016
United States
biohub.ai/models/esmc

Company Information

Theoretical and Computational Biophysics Group
Founded: 2006
United States
www.ks.uiuc.edu/Research//namd/

Alternatives

Alternatives

Evo 2

Evo 2

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ESMFold2

ESMFold2

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Ascalaph Designer

Ascalaph Designer

Agile Molecule
HyperProtein

HyperProtein

Hypercube

Categories

Categories

Integrations

Biohub
Python

Integrations

Biohub
Python
Claim ESMC and update features and information
Claim ESMC and update features and information
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Claim NAMD and update features and information