New scientific database can redirect way of medical treatment
An expert said that a groundbreaking new scientific database could revolutionize the treatment of diseases such as dementia, cancer and COVID19. -13 years of work led to the cataloging of everyone. Researchers from Google Artificial Intelligence (AI) Lab, DeepMind, and the European Institute of Bioinformatics (EMBL) released a database of 20,000 complete structures.
The proteins expressed in the human body are called the human proteome. The new scientific database contains the structure of 20,000 complete protein sets expressed in the human body, the so-called human proteome. The team used an artificial intelligence program called AlphaFold to visualize the structure of these "building blocks of life." EMBL Deputy Director-General Ewen Birney said: "Providing AlphaFold's predictions to the international scientific community has opened up many new research avenues, from neglected diseases to new enzymes for biotechnology, etc.
" This is great new science. Tools, it complements existing technology and allows us to break through our understanding of the world. Perry is a leader in open innovation for the Drugs for Neglected Diseases Initiative (DNDi) and one of the research partners using AlphaFold. He said that by predicting the structure of proteins, it may change the game for millions of people around the world to discover new drugs Rules, AlphaFold opens up new horizons for research, improves the scope and effectiveness of RandD (research and development), and promotes our research in endemic countries," he said.
The new scientific database was launched after DeepMind solved one of the biggest mysteries of biology that has plagued researchers for half a century: how proteins fold into unique three-dimensional shapes. The team again used AlphaFold to predict biological processes and make reliable predictions about the location of structures. 58% of the proteins in the human proteome.
In the past, the shape was determined by "crystallography," which experts say may take months or even years. Demis Hassabis, founder and CEO of London-based DeepMind, said: "We have used AlphaFold to create the most complete and accurate picture of the human proteome. Predicting how proteins fold into unique three-dimensional shapes has puzzled scientists. Understanding the protein Shapes can play a key role in the development of new drugs to treat diseases. Two years ago, dozens of teams from more than 20 countries blindly tried to use computers to predict the shapes of about 100 proteins composed of amino acid sequences.
Then the program learned from relevant information "Learning" from the information about the three-dimensional shape of known proteins stored in the global database. University College London professor, former Casp researcher and evaluator Andrew Martin told BBC News that protein sequences add up in three dimensions. Biological One of the basic questions. "How a protein works depends on its three-dimensional structure, and the function of a protein is related to health and disease. How proteins fold into "exquisite and unique three-dimensional structures" is one of the greatest secrets of biology," said Professor Janet Thornton of the European Institute of Bioinformatics at EMBL in Hinkston, UK. "A better understanding of proteins. The structure and the ability to use computers to predict them means a better understanding of life, evolution, and of course human health and disease," he said. In figuring out how different proteins fit together and how proteins interact with other molecules such as DNA and There is still a knowledge gap in RNA) interaction. Now the single protein problem has been solved, and the method is free. Develop new methods to determine the shape of protein complexes, which together make up most of the protein collections of life machines, and other applications," He says. PhD. Kryshtafovich.
Almost all diseases, including cancer, dementia, and even infectious diseases like COVID19, are related to the way these proteins work. DeepMind, an artificial intelligence laboratory in London, said that its AlphaFold program solves a 50-year-old problem and can predict the shape of many proteins. Structure Prediction, a group of scientists who have been working on the subject since 1994. "Even small adjustments to these important molecules can have catastrophic consequences for our health, making them one of the most effective ways to understand diseases and find new treatments.
