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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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
Initial release of the Anthrofold model. This foundational version introduces the core machine learning architecture optimized for high-accuracy macromolecular and protein structure prediction natively within AWS environments.
Key Features in this Release:
End-to-End Prediction: Generates precise 3D atomic coordinates directly from primary amino acid sequences.
Standardized Bio-Formats: Fully supports FASTA/text inputs and outputs industry-standard PDB and mmCIF compatible formats.
Infrastructure Optimization: Architected for high-throughput inference pipelines with minimized computational overhead on cloud compute instances.
Production Ready: Includes verified environment dependencies and configuration templates for seamless deployment.
Additional details
Inputs
- Summary
The endpoint accepts asynchronous JSON requests. The request body is a JSON array containing one prediction job per request.
To process multiple complexes, the customer loops externally and submits one async request per complex. This pattern keeps each individual request under SageMaker's 1-hour async invocation timeout regardless of how many complexes the customer screens in a session.
Example request body (application/json):
[ { "name": "my_complex", "sequences": [ { "proteinChain": { "sequence": "EVQLVESGGGLVQPGGSLRLSCAASGFTFSSYAMS...", "count": 1, "modifications": [] } }, { "proteinChain": { "sequence": "DIQMTQSPSSLSASVGDRVTITCRASQDVNTAVAW...", "count": 1, "modifications": [] } }, { "proteinChain": { "sequence": "MKTIIALSYIFCLVFADYKDDDDKHMHENVKFLD...", "count": 1, "modifications": [] } } ], "covalent_bonds": [] } ]
Fields:
- name: free-form identifier supplied by the customer. Used in output filenames. Filesystem-safe characters only (no spaces or slashes).
- sequences: array of polypeptide chains in the complex. Typical antibody-antigen prediction has three: heavy chain, light chain, antigen.
- sequences[].proteinChain.sequence: amino acid sequence in single-letter codes (A, C, D, E, F, G, H, I, K, L, M, N, P, Q, R, S, T, V, W, Y). No stop codons.
- sequences[].proteinChain.count: number of copies of this chain to include, for homo-multimers. Default 1.
- sequences[].proteinChain.modifications: reserved for future use. Pass an empty array.
- covalent_bonds: reserved for future use. Pass an empty array.
- Limitations for input type
- Limits: - Total residues per request: 2048 across all chains. Larger complexes are rejected to avoid GPU OOM on ml.g5.12xlarge. For complexes above this size, contact the seller. - Sequence types supported: proteinChain only. Glycans, ligands, and post-translational modifications are not supported in this release. - Content type: application/json. - Invocation method: SageMaker async only (invoke_endpoint_async). The 60-second realtime endpoint timeout is too short for AnthroFold predictions; realtime invocations will fail.
- Input MIME type
- application/json
[
{
"name": "sample_antibody_antigen",
"sequences": [
{ "proteinChain": { "sequence": "EVQLVESGGGLVQPGGSLRLSCAASGFTFSSYAMSWVRQAPGKGLEWVSAISGSGGSTYYADSVKGRFTISRDNSKNTLYLQMNSLRAEDTAVYYCAKDRHFDWGQGTLVTVSS", "count": 1, "modifications": [] } },
{ "proteinChain": { "sequence": "DIQMTQSPSSLSASVGDRVTITCRASQDVNTAVAWYQQKPGKAPKLLIYSASFLYSGVPSRFSGSRSGTDFTLTISSLQPEDFATYYCQQHYTTPPTFGQGTKVEIK", "count": 1, "modifications": [] } },
{ "proteinChain": { "sequence": "MKTIIALSYIFCLVFADYKDDDDKHMHENVKFLDENSEKTTSVTLNKLHISG", "count": 1, "modifications": [] } }
],
"covalent_bonds": []
}
]
[
{
"name": "sample_antibody_antigen",
"sequences": [
{ "proteinChain": { "sequence": "EVQLVESGGGLVQPGGSLRLSCAASGFTFSSYAMSWVRQAPGKGLEWVSAISGSGGSTYYADSVKGRFTISRDNSKNTLYLQMNSLRAEDTAVYYCAKDRHFDWGQGTLVTVSS", "count": 1, "modifications": [] } },
{ "proteinChain": { "sequence": "DIQMTQSPSSLSASVGDRVTITCRASQDVNTAVAWYQQKPGKAPKLLIYSASFLYSGVPSRFSGSRSGTDFTLTISSLQPEDFATYYCQQHYTTPPTFGQGTKVEIK", "count": 1, "modifications": [] } },
{ "proteinChain": { "sequence": "MKTIIALSYIFCLVFADYKDDDDKHMHENVKFLDENSEKTTSVTLNKLHISG", "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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