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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

Mira is an online AI platform tailored for scientists engaged in research and development within the fields of science and materials. It aids researchers in navigating literature, structuring evidence, formulating hypotheses, orchestrating computational processes, and condensing findings. The platform features task-oriented AI agents that integrate project-specific information with scientific instruments and computational resources to facilitate the entire research journey, from defining the research question to analyzing and reporting outcomes. Its applications span a variety of disciplines, including chemistry, materials research, molecular design, protein workflows, and the replication of established methods. By providing project workspaces, Mira ensures that context is preserved throughout various tasks, while its workflow views and generated reports enable users to examine and systematically arrange their findings. Moreover, Mira is specifically crafted for scientists and R&D teams looking to enhance their literature-driven explorations and computational studies; importantly, its outputs are intended to complement, not replace, the critical evaluation and expertise of seasoned scientists. The platform ultimately empowers researchers to achieve more efficient outcomes in their scientific endeavors.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Biohub Yes 
ESMFold2 No 
Python Yes 

Integrations

Biohub No 
ESMFold2 Yes 
Python No 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs No 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Biohub

Founded

2016

Country

United States

Website

biohub.ai/models/esmc

Vendor Details

Company Name

Deep Principle

Founded

2024

Country

China

Website

agentmira.io

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Product Features

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