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Description
Differential Bio is an innovative virtual platform designed to enhance bioprocess optimization by making microbial growth more predictable, scalable, and economically viable, utilizing robotic laboratory automation and insights driven by artificial intelligence. The process initiates with automated, high-throughput experiments that replicate large-scale stress conditions within microliter settings, thereby producing relevant wet-lab data via liquid handling, fermentation, and measurement techniques. Tailored AI algorithms analyze this data to forecast various outcomes, including biomass growth, protein production, cell viability, titer, production rate, yield, and associated costs. Users can access the web-based platform to set their optimization targets and parameter limits, conduct limitless in-silico simulations, compare the results of simulated fermentation processes, engage in multi-objective optimization, and pinpoint the optimal conditions for scaling up production. This comprehensive approach not only streamlines the optimization workflow but also empowers teams to make data-informed decisions in bioprocess development.
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.
API Access
Has API
API Access
Has API
Integrations
Biohub
Python
Pricing Details
No price information available.
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
Differential Bio
Country
Germany
Website
www.differential.bio/
Vendor Details
Company Name
Biohub
Founded
2016
Country
United States
Website
biohub.ai/models/esmc