Author

S. Errico

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· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:protein folding & dynamics· 1

Frequent Co-Authors

A. Danani· 1 shared F. Chiti· 1 shared G. Grasso· 1 shared S. Muscat· 1 shared

Activity by Year

2024-2024 · peak 1/yr

Co-Author Collaboration Network

4 top collaborators · 6 mutual co-author links

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1 shared paperBiophysics

A. Danani

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1 paper

Recent·Most cited

Leveraging Machine Learning-Guided Molecular Simulations Coupled with Experimental Data to Decipher Membrane Binding Mechanisms of Aminosterols

S. Muscat, S. Errico, A. Danani, F. Chiti, G. Grasso

This paper uses machine learning and simulations to study how aminosterols bind to neuron-like membranes, showing accurate predictions matching experimental data.

bioRxiv · Jan 31, 2024 · PreprintBiophysics