Sold by: Anthrogen
Deployed on AWS
Anthrofold is an advanced protein folding model developed by Anthrogen to predict highly accurate 3D macromolecular structures from primary amino acid sequences. Engineered for speed and precision, it seamlessly integrates into cloud-native bioinformatics pipelines to accelerate structural biology research and therapeutic discovery.
Overview
Anthrofold, developed by Anthrogen, is a cutting-edge computational biology model engineered to solve complex protein and molecular folding challenges. By analyzing primary amino acid sequences, Anthrofold predicts three-dimensional atomic structures with high spatial accuracy, effectively reducing the time and computational overhead traditionally required for structural determination. This model is optimized for high-throughput workflows, allowing research teams to rapidly scale their structural biology, target identification, and protein engineering pipelines.
Designed to integrate natively into AWS infrastructure, Anthrofold provides biopharma enterprises and academic institutions with a scalable, reproducible tool for structural analysis. Whether you are conducting deep mutational scanning or optimizing de novo protein designs, Anthrofold delivers the reliable structural insights needed to drive life sciences innovation forward.
Core Capabilities:
Input: Accepts primary amino acid sequences (FASTA/text format).
Output: Generates precise 3D atomic coordinates compatible with standard molecular visualization tools (PDB/mmCIF formats).
Highlights
- High-Accuracy 3D Predictions: Rapidly generates precise three-dimensional atomic coordinates from primary amino acid sequences to accelerate structural analysis.
- Scalable Cloud Integration: Optimized for high-throughput bioinformatics pipelines, allowing seamless scaling for enterprise-grade drug discovery workflows.
- Streamlined Biotech Workflows: Reduces computational overhead and time-to-insight for target identification, mutational scanning, and protein engineering.
Details
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Delivery method
Latest version
Deployed on AWS
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Pricing
This product is available free of charge. Free subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Vendor refund policy
This product is offered free of charge through AWS Marketplace. As no fees are collected, no refunds are applicable. Customers remain responsible for their own AWS infrastructure costs (SageMaker compute, S3 storage, and data transfer) incurred while running the product. For questions about infrastructure billing, contact AWS Support.
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Delivery details
Amazon SageMaker model
An Amazon SageMaker model package is a pre-trained machine learning model ready to use without additional training. Use the model package to create a model on Amazon SageMaker for real-time inference or batch processing. Amazon SageMaker is a fully managed platform for building, training, and deploying machine learning models at scale.
Deploy the model on Amazon SageMaker AI using the following options:
Version release notes
Updated binding metrics
Additional details
Inputs
- Summary
AnthroFold accepts a JSON array containing one prediction job. Each job has a name (filesystem-safe identifier), a sequences list of one or more proteinChain entries, and an empty covalent_bonds array (reserved for future use). Each proteinChain contains a single-letter amino acid sequence, a count for homo-multimer copies (default 1), and an empty modifications array (reserved). Total residues across all chains in one request must be at most 2048. Only protein chains are supported in this release — glycans, ligands, and post-translational modifications are not. To process multiple complexes, submit one async request per complex so each request fits inside SageMaker's 1-hour async invocation timeout.
Model input details (example payload)
[ { "name": "my_complex", "sequences": [ { "proteinChain": { "sequence": "EVQLVESGGGLVQPGGSLRLSC...", "count": 1, "modifications": [] } }, { "proteinChain": { "sequence": "DIQMTQSPSSLSASVGDRVTIT...", "count": 1, "modifications": [] } }, { "proteinChain": { "sequence": "MKTIIALSYIFCLVFADYKDDD...", "count": 1, "modifications": [] } } ], "covalent_bonds": [] } ]
- Input MIME type
- application/json
[
{
"name": "my_complex",
"sequences": [
{ "proteinChain": { "sequence": "EVQLVESGGGLVQPGGSLRLSC...", "count": 1, "modifications": [] } },
{ "proteinChain": { "sequence": "DIQMTQSPSSLSASVGDRVTIT...", "count": 1, "modifications": [] } },
{ "proteinChain": { "sequence": "MKTIIALSYIFCLVFADYKDDD...", "count": 1, "modifications": [] } }
],
"covalent_bonds": []
}
]
[
{
"name": "my_complex",
"sequences": [
{ "proteinChain": { "sequence": "EVQLVESGGGLVQPGGSLRLSC...", "count": 1, "modifications": [] } },
{ "proteinChain": { "sequence": "DIQMTQSPSSLSASVGDRVTIT...", "count": 1, "modifications": [] } },
{ "proteinChain": { "sequence": "MKTIIALSYIFCLVFADYKDDD...", "count": 1, "modifications": [] } }
],
"covalent_bonds": []
}
]
Support
Vendor support
Anthrogen provides dedicated technical support for all Anthrofold customers. For implementation assistance, bug reporting, deployment troubleshooting, or general inquiries, please contact our support team directly via email at support@anthrogen.com .
Support Channels & SLA:
Email Support: support@anthrogen.com
Response Time: Standard business hours support (Monday through Friday), with a typical response time within 24-48 hours.
Escalation: Critical deployment or infrastructure issues are prioritized to ensure minimal disruption to your bioinformatics pipelines.
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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