RoseTTAFold

Categories: Environment & Science, Research | Pricing: Free | Official Website ↗

RoseTTAFold is a deep learning-based protein structure prediction service offered by the Robetta project, providing fast and accurate modeling.

Robetta is a protein structure prediction service that utilizes RoseTTAFold, a deep learning-based method, for fast and accurate results. It can model multi-chain complexes and offers options for large-scale sampling and custom sequence alignments for homology modeling. The service is continually evaluated through CAMEO.

Key Features

Deep learning protein structure prediction
Multi-chain complex modeling
Interactive submission interface
Homology modeling with custom alignments
Large scale sampling option
Comparative modeling (CM)
PDB100 template database

Pros

Fast and accurate deep learning-based prediction
Can model multi-chain complexes
Interactive submission interface
Supports custom sequence alignments and constraints
Continually evaluated through CAMEO

Cons

User must provide paired MSA for multi-chain RoseTTAFold
Relies on volunteer computing resources (Rosetta@home)
Specific technical knowledge required for advanced features
Limited information on specific output formats
No explicit mention of a dedicated support team

Use Cases

Predicting novel protein structures
Modeling protein-protein interactions
Designing new proteins or enzymes
Understanding protein function based on structure
Validating experimental structural data

Best For

Biochemists
Structural biologists
Researchers in protein science
Academics needing protein models

Platforms: web

Watch demo on YouTube ↗

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