ESMFold2

ESMFold2

Biohub
TabPFN-3.5

TabPFN-3.5

Prior Labs
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+

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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

TabPFN-3.5 is a tabular foundation model built for state-of-the-art predictions on structured data. It supports a wide range of prediction tasks, including churn, fraud, pricing, demand forecasting, risk, and other real-world data science problems, allowing teams to serve multiple use cases with one model. The model works with data as it is, handling missing values, outliers, categorical features, multi-table datasets, free text as a feature, thousands of distinct IDs without encoding, and hundreds of measurements per row. Users can feed in raw data, skip feature engineering and preprocessing, and get production-grade predictions from the first predict call. TabPFN-3.5 performs predictions in a single forward pass and is designed for both accuracy and speed, with fast inference for latency-critical predictive workflows. It supports production-scale datasets of up to one million rows natively and delivers 20x faster inference than previous model versions.

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

Data scientists, machine learning teams, and organizations needing to build fast, production-ready predictions from structured data

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 Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version Supported
Free Trial Not Supported

Pricing

No information available.
Free Version Not Supported
Free Trial 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:

Review this Software

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 Supported
In Person Not Supported

Company Information

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

Company Information

Prior Labs
Founded: 2024
Germany
priorlabs.ai/tabpfn-3-5

Alternatives

Alternatives

TabFM

TabFM

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ESMC

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MiMo-V2-Flash

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Evo 2

Evo 2

Arc Institute
TimesFM-3

TimesFM-3

Google
HyperProtein

HyperProtein

Hypercube
Seed2.0 Pro

Seed2.0 Pro

ByteDance

Categories

AI Models Supported
AI Science Supported

Categories

AI Models Supported
Foundation Models Supported

Integrations

Python Supported
Amazon Web Services (AWS) Not Supported
Biohub Supported
Databricks Not Supported
Google Cloud Platform Not Supported
Microsoft Azure Not Supported
Model Context Protocol (MCP) Not Supported
NVIDIA DRIVE Not Supported
SAP Cloud Platform Not Supported
Snowflake Not Supported

Integrations

Python Supported
Amazon Web Services (AWS) Supported
Biohub Not Supported
Databricks Supported
Google Cloud Platform Supported
Microsoft Azure Supported
Model Context Protocol (MCP) Supported
NVIDIA DRIVE Supported
SAP Cloud Platform Supported
Snowflake Supported
Claim ESMFold2 and update features and information
Claim ESMFold2 and update features and information
Claim TabPFN-3.5 and update features and information
Claim TabPFN-3.5 and update features and information