Cherra, Salvatore
Research Activities
Our aim is to investigate the structural and functional aspects of PXF-1, a Rap-GEF protein associated with neurological diseases. Loss-of-function mutations in PXF-1 have been linked to synaptic signal intensity reduction, suggesting involvement in cholinergic signaling regulation. The project entails predicting the structure of PXF-1 using AlphaFold2 and evaluating the stability effects of point mutations via Rosetta's ddG comparison.
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List of Projects
PXF-1 structure prediction with AlphaFold 2 - Bridget Carroll, Qi Qiao, Caitline Phan, Khine Aung, Julie Watkins
We will use AlphaFold2 to predict the structure of PXF-1 WT and P1023S based on the FASTA file. The results will be the top 5 possible structures (PDB files with coordinates) for each protein, and the confidence score (pLDDT) for each amino acid. VMD software will be used for the PXF-1 WT and P1023S structure visualization and comparison.
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PXF-1 P1023S mutant stability prediction with Rosetta ddG - Bridget Carroll, Qi Qiao, Caitline Phan, Khine Aung, Julie Watkins
We will use Rosetta ddG to predict how a single-point mutation will affect protein stability. The structures of PXF-1 WT and P1023S that are generated from AlphaFold2 will be used as the input for DDG calculations.
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Computational Methods
We will use AlphaFold2 to predict the structure of PXF-1 WT and P1023S based on the FASTA file. The results will be the top 5 possible structures (PDB files with coordinates) for each protein, and the confidence score (pLDDT) for each amino acid. The structures of PXF-1 WT and P1023S that are generated from AlphaFold2 will be used as the input for DDG calculations.
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List of Software
AlphaFold2
Rosetta
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UKY Collaborators
Bridget Carroll, Qi Qiao, Caitline Phan, Khine Aung, Julie Watkins
Center for Computational Sciences