AlphaFold

AlphaFold:

DeepMind, a company owned by Google, announced this week that it had predicted the three-dimensional structures of more than 200 million proteins using AlphaFold.

  • AlphaFold is an AI-based protein structure prediction tool.
  • It used processes based on “training, learning, retraining and relearning” to predict the structures of the entire 214 million unique protein sequences deposited in the Universal Protein Resource (UniProt) database.
  • The Indian community of structural biology needs to take advantage of the AlphaFold database and learn how to use the structures to design better vaccines and drugs.

Mechanism:

  • 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.
  • Then, it uses the high-accuracy predictions from the first step to retrain and relearn to gain higher accuracy of the earlier predictions.
  • By using this method, AlphaFold has now predicted the structures of the entire 214 million unique protein sequences deposited in the Universal Protein Resource (UniProt) database.

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