ESMFold2

ESMFold2

Biohub
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About

Ask Paper allows you to read and extract information from papers more quickly. It allows you to upload papers either by URL or by uploading a PDF file, and then ask natural language questions about the paper. AskPaper is a tool powered by a Large Language Model. This is a Neural Network that was trained on a lot of internet text to understand how the language works, all by trying to predict the next word in a sequence. By feeding the paper contents and the query to the models, it will try to "predict" a plausible answer. All you have to do is register in discord and join our server. If you need further help, login as a guest, and there's in an option to receive instructions via email on how to use the tool.

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.

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

Organizations that need a powerful AI Productivity solution

Audience

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

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 Supported

API

Offers API Not Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version Not 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

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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 Not 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

AskPaper
www.askpaper.ai/

Company Information

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

Alternatives

Alternatives

ESMC

ESMC

Biohub
Evo 2

Evo 2

Arc Institute
HyperProtein

HyperProtein

Hypercube

Categories

Academic Research Supported
AI PDF Supported
AI Productivity Supported
AI Research Tools Supported
AI Tools Supported

Categories

AI Models Supported
AI Science Supported

Integrations

Biohub Not Supported
Python Not Supported

Integrations

Biohub Supported
Python Supported
Claim AskPaper and update features and information
Claim AskPaper and update features and information
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