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Mon-MHC, a predictor of the MHC-I-peptide binding affinity.

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Mon-MHC

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Mon-MHC is a predictor of the MHC-I-peptide binding affinity based on the exploration of the energy landscape of complexes through Monte Carlo (MC) simulations.

It was developed during my Bioinformatics Master Thesis (UPF): Development of an MHC-I-peptide binding predictor using Monte Carlo simulations (Vallejo-Vallés et al. 2023).

The project was carried out while being a Master Student at the research group Electronic and Atomic Protein Modeling, under the supervision of Dr. Victor Guallar at the Barcelona Supercomputing Center.

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Mon-MHC, a predictor of the MHC-I-peptide binding affinity.

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  • Python 100.0%