The new DNA toolbox uses bacteria to create and multiply the DNA for genome research and genetic engineering. Researchers can use artificial DNA to fix genetic errors and make new types of cells for things like energy production. The ability to interconnect DNA from different sources over species borders opens a world where only imagination is limited.
The problem is that the DNA must be done in large numbers so that the system can make enough artificial cells for the DNA transplant. The DNA sequence must transfer into artificial DNA with a very high accuracy. Then that artificial DNA must be injected into the cell, where the original DNA is removed, because that cell must create the artificial DNA.
The problem with the artificial DNA is how to multiply it. If that problem is solved, the system can create new artificial DNA and artificial species. The AI-based solutions can connect images from different species, and then the system can search the DNA sequences. They are similar to animals that have spots.
The hypothesis goes like this. Similar genomes are controlling the spots of the leopard and butterflies. And if all animals that have spots have similar sequences in their DNA. That thing can offer a conclusion that similar DNA sequences control all spots in nature. The problem is how to find those sequences from the other DNA sequences. And the AI can answer. AI can make the system possible to find the point in the DNA that controls certain things.
When the next generation of doctors gives DNA therapy they must just find the right DNA point. Then doctors cut the DNA. Then the system connects the new sequence to that place. The problem is that the DNA manipulation must done very accurately. The DNA molecule is very long. And the system must find the precise in the right place.
This kind of system can use the artificial DNA as the chemical qubit. The system will load data to the DNA. Then the system can read that DNA from multiple points. The system can be interesting, but maybe slower than the electric qubits. This kind of electrochemical quantum computer can be slow but it is less error-sensitive than the electromagnetic quantum computer.
The thing, how the AI makes DNA analysis very effective is that the AI can multiply the DNA in PCR (Polymerase Chain Reaction) and deliver that multiplied DNA to the different analysis points. Then the AI can order those systems to begin the DNA analysis at different, individual points of the DNA. The AI acts like a virtual quantum computer.
When the AI starts to read the DNA in multiple workstations. Each of those systems starts the process at different points. That increases the power of the system. If there are a thousand workstations. And they read the DNA chain in an identical sequence. That leaves 3000 000 base pairs for each workstation. The DNA that the system uses can be separated, but if those bites are identical. The system can use this method where each workstation begins at individual points to make the DNA analysis more powerful than we can ever imagine.
https://phys.org/news/2024-02-toolbox-genomes-crispr.html
https://techandsciencepost.com/news/biology/new-toolbox-allows-engineering-of-genomes-without-crispr/
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