We are excited to announce that Cure Cancer With AI now offers free access to the powerful IBM MAMMAL (Molecular Aligned Multi-Modal Architecture and Language) through our public API. Built by IBM Research, MAMMAL is a cutting-edge multi-modal biomedical foundation model designed to facilitate advancements in cancer research and drug discovery.

What is MAMMAL and Why is it Important?

MAMMAL is a sophisticated multi-task model that has been trained on approximately 2 billion biological samples, incorporating data from proteins, small molecules, and single-cell gene/omics. This unique model aligns different biological modalities into a unified sequence framework, allowing for comprehensive analysis and predictions across various biomedical applications.

The term "multi-modal" refers to the model's ability to integrate and interpret diverse types of biological data. In the context of cancer research, this capability is essential because it enables researchers to explore complex relationships between proteins and drugs more effectively. By understanding these interactions, scientists can identify potential therapeutic targets and improve drug development processes.

Research Behind MAMMAL

The MAMMAL model is detailed in a recent paper published in npj Drug Discovery (Nature). This research highlights MAMMAL's evaluation on 11 distinct drug discovery tasks, where it achieved state-of-the-art performance on 9 of these tasks, demonstrating its robust capabilities in predicting drug interactions and toxicity. Its ability to handle complex biological data makes it an invaluable tool for researchers aiming to accelerate drug discovery and better understand cancer mechanisms.

MAMMAL in the Cure Cancer With AI API

Cure Cancer With AI has integrated MAMMAL's predictions into our API, providing three main endpoints for researchers and developers to utilize:

• Protein–Protein Interaction (PPI): - Endpoint: /api/v1/mammal/ppi - Input: This endpoint requires two amino-acid sequences (protein_a, protein_b). - Output: It returns a binding-affinity class label: "1" indicates that the proteins are interacting, while "0" signifies non-interaction.
• Drug–Target Interaction (DTI): - Endpoint: /api/v1/mammal/dti - Input: A target protein amino-acid sequence (target_seq) and a drug represented in SMILES notation (drug_seq). - Output: The model predicts the binding affinity in the form of pKd (−log₁₀ Kd; a higher value indicates a stronger predicted binding).
• ClinTox Clinical-Trial Toxicity: - Endpoint: /api/v1/mammal/clintox - Input: A compound in SMILES notation (smiles). - Output: The prediction indicates whether the compound is toxic or likely to fail clinical trials (pred 1 = toxic/likely to fail trials, 0 = not toxic), along with a raw score.

All of these powerful MAMMAL endpoints are available for free on curecancerwithai.com. Users can create a free API key at /api-keys to start making requests. The API allows for 100 requests per hour per key, which is ideal for both research and experimentation. Full documentation, including parameters and code samples, can be found at /developers.

Start Using It for Free

We invite researchers, developers, and enthusiasts to leverage the MAMMAL capabilities now available at no cost. Simply create your free API key at /api-keys, and dive into the detailed documentation at /developers. With the flexibility to make up to 100 requests per hour, you can explore the vast potential of this groundbreaking technology for your projects.

Conclusion

The addition of IBM MAMMAL's inference capabilities to the Cure Cancer With AI platform marks a significant milestone in providing free access to advanced biomedical AI tools. However, it's important to note that while MAMMAL predictions can offer valuable research insights, they are not intended as medical or clinical advice. These predictions serve as experimental signals and should be used in conjunction with traditional research methodologies.

Take advantage of this opportunity to enhance your research and contribute to the fight against cancer by utilizing the free MAMMAL API on curecancerwithai.com.

To dive deeper into practical AI-for-cancer-research updates, explore our latest blog posts, learn more about our mission, and see how you can support ongoing work on our donations page.

Cure Cancer With AI is an educational research and information platform. It does not provide medical advice, diagnosis, or treatment recommendations; always discuss care decisions with a qualified healthcare professional.