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Structural Analysis Of Predicted Proteins Using Alphafold, Brydon P. Wall

Undergraduate Research Posters

The function of around 67% of predicted proteins from genes in Mycobacteriophage CheetoDust can not be confidently predicted using traditional techniques and can only be functionally labeled “hypothetical proteins”. However, a new approach using AlphaFold, an artificial intelligence tool to generate a structural prediction from a sequence, can take advantage of structurally conserved regions that were previously obfuscated to gain new insights and visualize data in new ways.

Since amino acid sequences are more conserved than its corresponding DNA sequence, amino acid sequences are used when predicting the function of the corresponding translated protein. Until recently, predicting structure from an …