ESMC

ESMC

Biohub
+
+

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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

QSimulate offers a suite of quantum simulation platforms that leverage quantum mechanics to solve complex, industrial-scale problems in life sciences and materials science. The QSP Life platform provides unique quantum-powered methods for drug discovery and optimization, enabling first-of-a-kind quantum simulations of ligand-protein interactions applicable throughout the computational drug discovery process. The QUELO platform performs hybrid quantum/classical free energy calculations, offering users the ability to run relative free energy calculations using the free energy perturbation (FEP) approach. Additionally, QSimulate's technology enables groundbreaking advances in quantum mechanics/molecular mechanics (QM/MM) simulations for large protein modeling. For materials science, the QSP Materials platform democratizes quantum mechanical simulations, allowing experimentalists to automate complex workflows without the need for specialization.

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

Computational chemists and materials scientists in search of a solution to accelerate drug discovery and materials development through automated, scalable, and high-fidelity modeling

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

No information available.
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

QSimulate
United States
qsimulate.com/home

Alternatives

Alternatives

InQuanto

InQuanto

Quantinuum
Evo 2

Evo 2

Arc Institute
QX Simulator

QX Simulator

Quantum Computing Simulation
ESMFold2

ESMFold2

Biohub
Aurora Drug Discovery

Aurora Drug Discovery

Aurora Fine Chemicals
HyperProtein

HyperProtein

Hypercube
LIQUi|>

LIQUi|>

Microsoft

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 QSimulate and update features and information