ESMFold2Biohub
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Evo DesignerArc Institute
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About
ESMFold2 is the successor to ESMFold, setting a new state of the art for single-sequence structure prediction and enabling the generation of new functional proteins through searching the ESMC model’s latent space. The model predicts high-resolution, all-atom 3D structures of biomolecular complexes directly from sequence, with optional multiple sequence alignment input for enhanced accuracy on challenging targets. It is designed for structure prediction using sequence and structure modalities, with ESM representations powering a series of looped folding layers and a diffusion model projecting pairwise representations to atomic-resolution predictions. ESMFold2 predicts protein structures directly from amino acid sequences and outputs comprehensive structural information, including all-atom coordinates for backbone and side chains, confidence metrics, and optional distogram predictions for detailed structural analysis.
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About
Evo Designer is an advanced tool developed by the Arc Institute, leveraging the capabilities of the Evo 2 genomic foundation model to facilitate DNA sequence generation and analysis. This platform enables users to input nucleotide sequences or specify organisms, prompting the model to generate corresponding DNA sequences. It provides comprehensive annotations of coding regions and, for prokaryotic sequences, offers 3D protein visualizations utilizing ESMFold. Additionally, Evo Designer evaluates sequences by scoring their perplexity and per-nucleotide entropy, assisting researchers in assessing sequence complexity and variability. The underlying Evo 2 model is trained on over 9 trillion nucleotides from a diverse array of prokaryotic and eukaryotic genomes, employing a deep learning architecture that models biological sequences at single-nucleotide resolution with a context window extending up to 1 million tokens.
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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
Structural biology researchers who need fast, high-resolution protein structure prediction from sequence for analysis, exploration, and experimental planning
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Audience
Genetic engineers requiring an AI-driven platform to generate and analyze DNA sequences, facilitating advancements in genomic research and synthetic biology
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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
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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/esmfold2
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Company InformationArc Institute
United States
arcinstitute.org/tools/evo/evo-designer
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