ESMFold2

ESMFold2

Biohub
ModelScope

ModelScope

Alibaba Cloud
+
+

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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.

About

This model is based on a multi-stage text-to-video generation diffusion model, which inputs a description text and returns a video that matches the text description. Only English input is supported. This model is based on a multi-stage text-to-video generation diffusion model, which inputs a description text and returns a video that matches the text description. Only English input is supported. The text-to-video generation diffusion model consists of three sub-networks: text feature extraction, text feature-to-video latent space diffusion model, and video latent space to video visual space. The overall model parameters are about 1.7 billion. Support English input. The diffusion model adopts the Unet3D structure, and realizes the function of video generation through the iterative denoising process from the pure Gaussian noise video.

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

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

Audience

Structural biology researchers who need fast, high-resolution protein structure prediction from sequence for analysis, exploration, and experimental planning

Audience

Users interested in an open source text-to-video AI video generation model

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Not Supported

API

Offers API Supported

API

Offers API Not Supported

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version Supported
Free Trial Not Supported

Pricing

Free
Free Version Supported
Free Trial Not Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

Biohub
Founded: 2016
United States
biohub.ai/models/esmfold2

Company Information

Alibaba Cloud
China
modelscope.cn/

Alternatives

Alternatives

ESMC

ESMC

Biohub
Kaggle

Kaggle

Google
Evo 2

Evo 2

Arc Institute
Evo Designer

Evo Designer

Arc Institute

Categories

AI Models Supported
AI Science Supported

Categories

AI Gateways Supported
AI Inference Supported
AI Tools Supported

Integrations

Biohub Supported
CodeQwen Not Supported
Python Supported
Qwen Not Supported
Qwen-7B Not Supported
Qwen2 Not Supported
Qwen2.5 Not Supported
Qwen2.5-1M Not Supported
Qwen2.5-Coder Not Supported
Qwen2.5-VL Not Supported
Qwen3 Not Supported
Qwen3.6 Not Supported
Qwen3.6-27B Not Supported
Qwen3.6-35B-A3B Not Supported
Qwen3.7-Max Not Supported
Qwen3.7-Plus Not Supported
Qwen3.8-2.4T-A95B Not Supported
Qwen3.8-Max Not Supported
Step 3.5 Flash Not Supported
Step 5 Preview Not Supported

Integrations

Biohub Not Supported
CodeQwen Supported
Python Not Supported
Qwen Supported
Qwen-7B Supported
Qwen2 Supported
Qwen2.5 Supported
Qwen2.5-1M Supported
Qwen2.5-Coder Supported
Qwen2.5-VL Supported
Qwen3 Supported
Qwen3.6 Supported
Qwen3.6-27B Supported
Qwen3.6-35B-A3B Supported
Qwen3.7-Max Supported
Qwen3.7-Plus Supported
Qwen3.8-2.4T-A95B Supported
Qwen3.8-Max Supported
Step 3.5 Flash Supported
Step 5 Preview Supported
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