Author

M. Alfonso-Prieto

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Biochemistry· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Organism:human· 1 Research Focus:protein structure prediction· 1 Assay:structural biology· 1

Frequent Co-Authors

R. Capelli· 1 shared

Activity by Year

2023-2023 · peak 1/yr

1 paper

Recent·Most cited

BiochemistrybioRxivFeb 22, 2023

Machine Learning-based Modeling of Olfactory Receptors in their Inactive State: Human OR51E2 as a Case Study

M. Alfonso-Prieto, R. Capelli

The paper uses machine learning to predict olfactory receptor structures and validates them through molecular dynamics simulations, highlighting the role of specific residues in stabilizing the inactive state.

DOI 10.1021/acs.jcim.3c00380

humanstructural biology

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