30 lines
1.7 KiB
Markdown
30 lines
1.7 KiB
Markdown
|
# Menten AI
|
||
|
|
|
||
|
|
AI & Quantum-Powered Protein Design: Using D-Wave's Quantum Leap Application
|
||
|
|
|
||
|
|
2 Presentations:
|
||
|
|
|
||
|
|
1. Hans Melo
|
||
|
|
2. Hassein
|
||
|
|
|
||
|
|
Proteins are little machine that can form chemical reactions in the form of enzymes.
|
||
|
|
|
||
|
|
There is a huge interest from the chemical and commercial industries to create better enzymes with commerical benefit.
|
||
|
|
|
||
|
|
|
||
|
|
|
||
|
|
# Current Protein Design is Limited
|
||
|
|
|
||
|
|
Most protein that occur naturally through evolution is a very small field to explore. However, directed evolution in enzymes allows us to go a bit outside the field of nature.
|
||
|
|
|
||
|
|
|
||
|
|
|
||
|
|
Menten AI argues that somewhere in that grey space is the future of vaccines, the future of medicine, and other helpful health. That is what can be done with computational methods that currently exist as well future methods related to quantum engineering. It is only within the last 5-10 years that designing proteins on the computer could even be possible. Of all the proteins that were tested, it is only a small fraction of these that were ever successful. For the most part, he claims that this is a very ineffective and wasteful process.
|
||
|
|
|
||
|
|
Menten plans on not only screening proteins but also creating new proteins. Developed a number of methods using quantum computing and machine learning.
|
||
|
|
|
||
|
|
Used Quantum Approaches - Quantum Annealing for optimization
|
||
|
|
|
||
|
|
The Core problem in protein design:
|
||
|
|
|
||
|
|
|