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
Goodfire helps teams understand and debug AI models by uncovering the hidden representations inside neural networks and removing the guesswork from AI training, moving model development from alchemy to precision engineering. Its platform, Silico, is built for intentional model design, letting teams build AI models with the precision of written software by seeing what models have learned, finding undesired behavior, and making targeted interventions to improve performance. Goodfire’s methods reverse engineer the causal mechanisms of AI to reveal internal structure, uncover novel science, and validate when predictions reflect true understanding. It helps teams precisely debug model behavior, identify and remove confounders, diagnose failures before they occur in production, and control training so the model learns what is intended with less data and fewer off-target effects. It works across different types of AI models, including life sciences models, robotics, and vision models.
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Platforms Supported
Windows
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Mac
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Linux
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Cloud
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On-Premises
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iPad
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Chromebook
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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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
AI research, ML engineering, and applied science teams that need to interpret, debug, and precisely improve advanced neural networks
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Support
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Support
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API
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API
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Pricing
Free
Free Version
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Pricing
No information available.
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Training
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Training
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Company InformationBiohub
Founded: 2016
United States
biohub.ai/models/esmc
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Company InformationGoodfire AI
Founded: 2024
United States
www.goodfire.ai/
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Integrations
Biohub
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Python
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