RE: LeoThread 2024-09-12 09:41

[taskmaster4450le]

Breakthrough AI Models Revolutionize Protein Design and Material Science

Two groundbreaking AI models, AlphaProteo and Orb, are set to transform the fields of protein design and material science, respectively. These innovations promise to accelerate drug discovery, enhance our understanding of diseases, and advance the development of new materials for energy applications.

Comments

[ahmadmanga]

Cool!

I remember a crypto project that gave you crypto tokens for giving Compute power for analysing Protein.

[taskmaster4450le]

I missed that one. Where is that project today? LOL

Dead and buried I am sure.

[ahmadmanga]

Probably... I can't remember its name.

[taskmaster4450le]

No big deal. Random statistics says it is likely dead...as are most things from that era.

[taskmaster4450le]

AlphaProteo: Designing Custom Proteins for Medical Breakthroughs

AlphaProteo, developed by Google DeepMind, represents a significant leap forward in protein engineering. Unlike its predecessor AlphaFold, which primarily predicts protein structures, AlphaProteo can design entirely new proteins tailored to bind with specific target molecules.

[taskmaster4450le]

Key features and achievements of AlphaProteo include:

1. Trained on extensive protein data from the Protein Data bank and AlphaFold predictions.
2. Capable of designing "binder" proteins that attach to specific targets.
3. Successfully generated binders for seven different target proteins.
4. Produced binders 3 to 300 times stronger than current methods.
5. Created the first-ever binder for VFA, a protein linked to cancer and diabetes complications.
6. Achieved an 88% success rate in binding to BHRF1, a viral protein.
7. Designed effective binders for the SARS-CoV-2 spike protein, potentially aiding in virus prevention.

[taskmaster4450le]

While AlphaProteo has shown impressive results, it still faces challenges. For instance, it was unable to design a successful binder for TNFa, a protein associated with autoimmune diseases. However, this limitation is viewed as an opportunity for further improvement.

The technology's potential applications span various fields, including:

• Drug discovery and development
• Understanding and treating diseases
• Enhancing crop resilience

[taskmaster4450le]

To ensure responsible use of this powerful technology, the team behind AlphaProteo is collaborating with organizations like the nuclear Threat Initiative to establish best practices for biosecurity.

Orb: Accelerating Material Science Simulations

Orb, developed by Orbital, is an AI model designed to simulate advanced materials at the atomic level. This open-source tool represents a significant advancement in material science, offering faster and more accurate simulations than existing methods.

[taskmaster4450le]

Key features of Orb include:

1. Five times faster than leading alternatives for large-scale simulations.
2. Outperforms models from major tech companies like Microsoft and Google in both speed and accuracy.
3. Open-source and free for non-commercial use, making it accessible to startups and researchers.
4. Based on a larger AI model called Linus, which Orbital has been refining internally.

[taskmaster4450le]

Orb's capabilities have the potential to revolutionize various fields, including:

• Battery technology
• solar panel development
• Other energy-related materials crucial for the transition to sustainable energy sources

The open-source nature of Orb is expected to accelerate innovation in material science, allowing researchers and startups to leverage its power for developing new and improved materials.

[taskmaster4450le]

These two AI models, AlphaProteo and Orb, represent significant advancements in their respective fields. As they continue to evolve and improve, they hold the promise of accelerating scientific discoveries and technological innovations in medicine, energy, and beyond.