ESMFold2 Description
ESMFold2 builds upon its predecessor, ESMFold, by establishing a new benchmark in single-sequence structure prediction and facilitating the creation of novel functional proteins via exploration of the latent space within the ESMC model. This advanced model is capable of forecasting high-resolution, all-atom 3D structures of biomolecular complexes straight from the amino acid sequence, and it allows for the incorporation of multiple sequence alignments to improve accuracy on difficult targets. Tailored for predicting structures through both sequence and structure modalities, it employs ESM representations that drive a series of looped folding layers while a diffusion model translates pairwise representations into atomic-resolution outcomes. ESMFold2 excels in predicting protein structures from amino acid sequences, providing detailed structural data, including precise all-atom coordinates for both backbone and side chains, along with confidence metrics and optional distogram predictions for in-depth structural evaluation. Furthermore, its innovative approach enhances the understanding of protein folding dynamics and functional implications, making it a valuable tool for researchers in the field.
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Biohub
Biohub serves as an accessible platform dedicated to advancing the understanding of protein biology. It offers users the ESM model family, which includes ESMC, ESMFold2, and ESM3, alongside interactive tools and resources tailored for developers involved in protein science research. ESMC stands out as a cutting-edge protein language model, meticulously trained on vast amounts of evolutionary sequence data, allowing it to create representations that elucidate key mechanisms underlying protein structure and function. This model facilitates various applications such as functional analysis, predicting structures, designing proteins, and investigating the evolutionary connections among different proteins. Meanwhile, ESMFold2 specializes in predicting high-resolution, all-atom 3D structures of biomolecular complexes from sequences, while offering the option of including multiple sequence alignments to improve accuracy for difficult targets. Additionally, ESM3 takes a holistic approach by simultaneously modeling sequence, structure, and function, thus enabling the generation of innovative proteins through conditioning on a blend of these aspects. This unique integration of tools and models empowers researchers to explore new frontiers in protein science.
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Evo 2
Evo 2 represents a cutting-edge genomic foundation model that excels in making predictions and designing tasks related to DNA, RNA, and proteins. It employs an advanced deep learning architecture that allows for the modeling of biological sequences with single-nucleotide accuracy, achieving impressive scaling of both compute and memory resources as the context length increases. With a robust training of 40 billion parameters and a context length of 1 megabase, Evo 2 has analyzed over 9 trillion nucleotides sourced from a variety of eukaryotic and prokaryotic genomes. This extensive dataset facilitates Evo 2's ability to conduct zero-shot function predictions across various biological types, including DNA, RNA, and proteins, while also being capable of generating innovative sequences that maintain a plausible genomic structure. The model's versatility has been showcased through its effectiveness in designing operational CRISPR systems and in the identification of mutations that could lead to diseases in human genes. Furthermore, Evo 2 is available to the public on Arc's GitHub repository, and it is also incorporated into the NVIDIA BioNeMo framework, enhancing its accessibility for researchers and developers alike. Its integration into existing platforms signifies a major step forward for genomic modeling and analysis.
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Pricing
Pricing Starts At:
Free
Free Version:
Yes
Company Details
Company:
Biohub
Year Founded:
2016
Headquarters:
United States
Website:
biohub.ai/models/esmfold2
Media
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Product Details
Platforms
Web-Based
Types of Training
Training Docs
Customer Support
Online Support
ESMFold2 Features and Options
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