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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Biophysics· 2 Biochemistry· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Organism:human· 2 Research Focus:protein folding & dynamics· 2 Approach:statistical model· 2 Assay:structural biology· 2 Organism:bacteria (other)· 1 Research Focus:protein structure prediction· 1 Assay:proteomics· 1

Frequent Co-Authors

R. Capelli· 2 shared C. Alleva· 1 shared C. Fahlke· 1 shared F. Ballabio· 1 shared L. Pirona· 1 shared N. Dmitrieva· 1 shared P. Carloni· 1 shared S. Gholami· 1 shared

Activity by Year

2023-2024 · peak 2/yr

Co-Author Collaboration Network

8 top collaborators · 13 mutual co-author links

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2 shared papersBiophysics

R. Capelli

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Author profile →

3 papers

Recent·Most cited

Transport mechanism of DgoT, a bacterial homolog of SLC17 organic anion transporters

N. Dmitrieva, S. Gholami, C. Alleva, P. Carloni, M. Alfonso-Prieto, C. Fahlke

This study elucidates the transport mechanism of DgoT, a bacterial homolog of SLC17 transporters, revealing key proton and substrate interactions that drive conformational changes and transport.

bioRxiv · Feb 7, 2024Biophysics

Calcium-driven In Silico Inactivation of a Human Olfactory Receptor

L. Pirona, F. Ballabio, M. Alfonso-Prieto, R. Capelli

This study uses in silico methods to investigate the role of calcium in the inactivation of the human olfactory receptor OR51E2, identifying a novel mechanism involving divalent ion coordination.

bioRxiv · Jan 31, 2024Biophysics

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.

bioRxiv · Feb 22, 2023Biochemistry