Evo 2Arc Institute
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About
Evo 2 is a genomic foundation model capable of generalist prediction and design tasks across DNA, RNA, and proteins. It utilizes a frontier deep learning architecture to model biological sequences at single-nucleotide resolution, achieving near-linear scaling of compute and memory relative to context length. Trained with 40 billion parameters and a 1 megabase context length, Evo 2 processes over 9 trillion nucleotides from diverse eukaryotic and prokaryotic genomes. This extensive training enables Evo 2 to perform zero-shot function prediction across multiple biological modalities, including DNA, RNA, and proteins, and to generate novel sequences with plausible genomic architecture. The model's capabilities have been demonstrated in tasks such as designing functional CRISPR systems and predicting disease-causing mutations in human genes. Evo 2 is publicly accessible via Arc's GitHub repository and is integrated into the NVIDIA BioNeMo framework.
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About
GROMACS is a free and open source suite for high-performance molecular dynamics and output analysis. It is a versatile package for simulating the Newtonian equations of motion for systems with hundreds to millions of particles, with a strong focus on materials modeling, biomolecular simulation, and particle-based systems. GROMACS is primarily designed for biochemical molecules such as proteins, lipids, and nucleic acids, which involve many complicated bonded interactions, but its speed in calculating nonbonded interactions also makes it useful for non-biological systems such as polymers and other materials. It can model ensembles of particles in liquid, solid, or gaseous states and supports a wide range of molecular dynamics workflows, from basic energy minimization and equilibration to production simulations and detailed trajectory analysis.
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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
Computational biologists and genetic engineers in need of a tool to model and design biological sequences across multiple modalities, enhancing research in genomics and synthetic biology
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Audience
Computational chemists, biophysicists, materials scientists, and molecular simulation researchers who need a tool to model biomolecules and particle systems
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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 |
Screenshots and Videos |
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Pricing
No information available.
Free Version
Free Trial
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Pricing
Free
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 InformationArc Institute
United States
arcinstitute.org/tools/evo
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Company InformationGROMACS
United States
www.gromacs.org
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Categories |
Categories |
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Integrations
Evo Designer
GitHub
Hugging Face
NVIDIA BioNeMo
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