The 3D atomic structure of protein molecules.

Researchers at the University of Toronto in Canada have developed a new machine learning algorithm that produces 3D structures of tiny protein molecules, Physicists.
say the new algorithm promises to revolutionized drug development and our understanding of life.
, a doctoral student at the University of Toronto and one of the researchers, explains that determining the structure of 3D atoms in protein molecules is critical to understanding how they work and how they respond to drug treatment.
drugs attach to specific protein molecules, changing their 3D shape and way of working.
ideal drug is generally designed to be in a specific shape so that it adheres only to a particular protein or disease-related protein without side effects when attached to other proteins in the body.
because proteins are smaller than light wave wavelengths, they cannot be seen directly without the use of complex technologies such as cryo-EM.
Cryo-EM technology uses high-energy microscopes to capture thousands of low-definition images from samples of frozen proteins in different directions, but stitching together these low-definition 2D images to create the correct HD 3D structure is difficult.
algorithm uses microscopic images to reconstruct the 3D structure of protein molecules, providing a faster and more efficient way to obtain the correct protein structure.
researchers say existing technology can take days or even weeks to generate a 3D structure from multiple computers, and that the new method, which can be done in minutes from a single computer, is expected to boost research and development of new drugs.
, dean of the School of Computational and Mathematical Sciences at the University of Toronto, explains: "The new approach addresses the speed and quantity of 3D structures.
hope that this approach will greatly speed up the development of new drugs and allow us to deepen our understanding of life at an atomic level," Mr Prejani said.
" Source: ScienceDaily.