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Artificial intelligence can predict the form of protein

  

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 Peptide molecule

Artificial intelligence can predict the form of protein

The form of the protein can predict by using artificial intelligence, and the system requires the data of the direction of the effect of the magnetic forces of atoms. The required data contains the polarity of each atom, which is forming the complicated structure of proteins. The electric level of the ionization is very important because that thing causes the curving of the protein.

The fact is that every single protein is a very complicated molecule, where could be thousands of atoms. And the form of the protein molecule is the result of the interaction of those atoms. The interaction between the atoms, that are forming the protein molecule is important, but also the interaction between the protein molecule and the outer environment is important.

Things like acidness (pH-scale) of the environment where protein molecule locates affect the form of those molecules. Also, the order of atoms is important. The proteins are very large molecules where are also submolecular forms. The submolecular forms are the molecules, that are in certain places in the protein molecules. So the atom formula is not enough when researchers need to model the protein molecules. The single atomic formula can fit many protein molecules. And one of the most important thing in the protein molecule is the cis-trans isomerism.

If the complicated protein molecule goes in the wrong ion pump, the cell will transfer it to the wrong place. Forming of the protein requires precise right temperature and pH, that the result is the molecule that researchers want to make.

Artificial intelligence can calculate the direction of the van der Waals force and also the electromagnetic interaction of the atoms in the protein molecule. Artificial intelligence requires many affect points and other values for creating the prediction of the protein molecules.

This kind of artificial intelligence solutions can be the pathfinders to things like the prediction of the route of gnu-antelopes. In that case, artificial intelligence can use values from the environment that are controlling the travel of gnus like rain and the magnetic fields for predicting where the gnus are traveling.

But in the most ambitious visions, artificial intelligence can predict how things like neurotransmitters are acting in the human brain, and how the electromagnetic vortexes in the neural tracks are forming and dismantle. That thing means that the computer can predict how the person thinks. And that is the thing, that artificial intelligence can calculate the behavior of the people. But those things are the visions of the future.

https://www.nature.com/articles/d41586-020-03348-4

The size of proteins molecules: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3055910/

https://www.britannica.com/science/protein/General-structure-and-properties-of-proteins

Image: https://www.britannica.com/science/protein


https://curiosityanddarkmatter.home.blog/2020/12/06/artificial-intelligence-can-predict-the-form-of-protein/

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