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Description

ESMC represents the newest advancement in the ESM series of protein language models, pushing the boundaries of representation learning within the field of protein biology. With training on billions of evolutionary sequences, it adeptly captures representations that encapsulate a mechanistic understanding of protein structure and function. The model utilizes a transformer architecture, focusing on sequences as its primary modality, and is trained on a vast dataset comprising up to 6 billion proteins. ESMC is tailored for various protein science applications, such as predicting structures, annotating functions, designing proteins, and exploring evolutionary connections among proteins. Additionally, it possesses the capability to create novel proteins based on partial sequences, structures, or functional constraints, thereby enabling researchers to investigate innovative avenues in protein design and biological discovery. Accessible through the Biohub Platform, ESMC can be utilized via an API and the ESM Python package, which includes quickstart resources for installation, API key generation, and platform connectivity, ensuring a seamless experience for users. This comprehensive accessibility encourages a broader engagement with protein research and enhances collaborative efforts in the scientific community.

Description

NAMD is a high-performance parallel molecular dynamics software specifically developed for the simulation of extensive biomolecular systems. Utilizing Charm++ parallel objects, it effectively scales from personal computing devices to advanced parallel systems, accommodating hundreds of cores for standard simulations and exceeding 500,000 cores for the most demanding cases. This software is tailored for researchers aiming to perform efficient simulations of large molecular systems while ensuring integration with commonly utilized molecular modeling workflows. It collaborates with the well-known molecular graphics tool VMD for both simulation setup and trajectory analysis, maintaining compatibility with file formats from AMBER, CHARMM, and X-PLOR. Furthermore, it is engineered to facilitate biomolecular simulations that encompass proteins, membranes, nucleic acids, solvents, ions, and other molecular systems, allowing for an in-depth exploration of atomic interactions and time-dependent movements. Researchers can therefore rely on NAMD to provide comprehensive insights into complex molecular dynamics.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Biohub
Python

Integrations

Biohub
Python

Pricing Details

Free
Free Trial
Free Version

Pricing Details

Free
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Biohub

Founded

2016

Country

United States

Website

biohub.ai/models/esmc

Vendor Details

Company Name

Theoretical and Computational Biophysics Group

Founded

2006

Country

United States

Website

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

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