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Local-Global Alignment: A Method for Finding 3D Similarities in Protein Structures
The LGA model predicts protein structures by considering both local and global structures without compromising either feature
Understanding proteins, their structures, and how they may be similar is necessary for many applications from basic science to developing vaccines for COVID-19. Most computational models that predict protein structure similarity consider certain features at the expense of others.
To get a holistic picture of protein structures, LLNL scientists developed the Local-Global Alignment (LGA) model. The model works by predicting protein structures by considering both local and global structures without compromising either feature. To do this, LGA can use data corresponding to clusters and/or fragments of proteins. The data can be inputted manually or for ease of use, uploaded from the Protein Data Bank (PDB). Not only can LGA predict protein structure similarity, it can also predict
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