ESMCBiohub
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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.
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About
Easiest way to extract data points from unstructured text. Simultaneously search through research reports, prospectus, customer requests or feedback to extract, track and analyze meaningful, custom defined data points. Access 100+ unique data points for your investment & risk management strategy. Search and create custom data sets from EDGAR and other public or private sources. Streamline your deal underwriting process. Streamline your capital markets and structured finance legal flow. Instantly extract 100+ data points to categorize, compare and collaborate with your clients. Deconstruct unstructured text in PubMed and clinical trial data into diseases, genes, proteins, symptoms & more. Get all your research in a single place. Bring in research from any source into your workspaces using our Chrome plug-in. Make digital PDFs to machine readable. JSON and HTML output with detailed section hierarchy, multi-level tables, lists, header, footer and watermarks removed.
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Audience
Protein science researchers who need transformer-based sequence representations for structure prediction, function annotation, mutation analysis, and protein design
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Audience
Enterprises and anyone in search of a solution to extract data points from unstructured text
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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Screenshots and Videos |
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Pricing
Free
Free Version
Free Trial
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Pricing
No information available.
Free Version
Free Trial
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationBiohub
Founded: 2016
United States
biohub.ai/models/esmc
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Company InformationNLMatics
Founded: 2019
United States
www.nlmatics.com
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