A.I. software will change the rules of game
Until now, the primary way to obtain a high-resolution model of a protein’s structure was through a method called X-ray crystallography. In this technique, a solution of proteins is turned into a crystal, itself a difficult and time-consuming process, and then this crystal is bombarded with X-rays, often from a large circular particle accelerator called a synchrotron. The diffraction pattern of the X-rays allows researchers to build up a picture of the internal structure of the protein. It takes about a year and costs about $120,000 to obtain the structure of a single protein through X-ray crystallography, according to an estimate from the University of Toronto. More recently, two other experimental methods—nuclear magnetic resonance and cryogenic electron microscopy—have also been used. They can be faster and less expensive but tend to produce models that are less precise than X-ray crystallography.
A.I. future of medicine revolution
A.I. is trained to predict the structure of single proteins. It use algorithms which uses a protein’s DNA sequence to predict its three-dimensional structure. These can be used to predict single protein structures.But in nature, proteins are often present in complex arrangements with other proteins. So the next step will be to develop an A.I. system that could predict complicated dynamics between proteins—such as how two proteins will bind to one another or the way that proteins in close proximity morph one another’s shapes.
A.I. is faster and less expensive and much more precise than X-ray crystallography.
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