AlphaFold & Protein Structure


    In Context

    • Recently, DeepMind, a company based in London, announced that it had predicted the three-dimensional structures of more than 200 million proteins using AlphaFold.

    What is AlphaFold?

    • About:
      • AlphaFold is an AI-based protein structure prediction tool. It is based on a computer system called deep neural network.
        • Inspired by the human brain, neural networks use a large amount of input data and provide the desired output exactly like how a human brain would. 
      • The real work is done by the black box between the input and the output layers, called the hidden networks.
      • AlphaFold is fed with protein sequences as input. When protein sequences enter through one end, the predicted three-dimensional structures come out through the other. 
    • Working Mechanism:
      • It uses processes based on “training, learning, retraining and relearning.” 
      • The first step uses the available structures of 1,70,000 proteins in the Protein Data Bank (PDB) to train the computer model. Then, it uses the results of that training to learn the structural predictions of proteins not in the PDB. 
      • Once that is done, it uses the high-accuracy predictions from the first step to retrain and relearn to gain higher accuracy of the earlier predictions. 

    Image Courtesy: LM

    What are its implications?

    • Knowing protein structure and function is essential to understanding human diseases.
    • Protein structures using x-ray crystallography, nuclear magnetic resonance spectroscopy, or cryogenic electron microscopy. These techniques are not just time-consuming, they often take years and are based mainly on trial-and-error methods.
    • AlphaFold makes the process of protein structuring easier. It is a watershed movement in science and structural biology in particular.
    • AlphaFold has already helped hundreds of scientists accelerate their discoveries in vaccine and drug development since the first public release of the database nearly a year back.

    Significance for India

    • The Indian community of structural biology is strong and skilled. It needs to quickly take advantage of the AlphaFold database and learn how to use the structures to design better vaccines and drugs. 
    • Understanding the accurate structures of COVID-19 virus proteins in days rather than years will accelerate vaccine and drug development against the virus.
    • India could facilitate joint collaborations with the prevalent hardware muscle and data science talent in the private sector and specialists in academic institutions to pave the way for data science innovations.

    Source: TH