Author

A. Borsatto

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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Approach:deep learning· 2 Research Focus:drug response / drug discovery· 2 Approach:statistical model· 2 Research Focus:protein folding & dynamics· 1 Assay:protein structure· 1 Approach:simulation· 1 Assay:structural biology· 1 Organism:virus· 1

Frequent Co-Authors

F. L. Gervasio· 2 shared C. Estarellas· 1 shared E. Gianquinto· 1 shared F. Kozielski· 1 shared I. Galdadas· 1 shared O. Akkad· 1 shared S. Damfo· 1 shared S. Haider· 1 shared

Activity by Year

2022-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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2 shared papersBiophysics

F. L. Gervasio

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2 papers

Recent·Most cited

SWISH-X, an expanded approach to detect cryptic pockets inproteins and at protein-protein interfaces

A. Borsatto, E. Gianquinto, V. Rizzi, F. L. Gervasio

SWISH-X identifies cryptic pockets in proteins and protein-protein interfaces by combining SWISH with OPES MultiThermal for improved prediction.

bioRxiv · Nov 3, 2023Biophysics

Revealing druggable cryptic pockets in the Nsp-1 of SARS-CoV-2 and other β-coronaviruses by simulations and crystallography

A. Borsatto, O. Akkad, I. Galdadas, S. Ma, S. Damfo, S. Haider, F. Kozielski, C. Estarellas, F. L. Gervasio

This study identifies druggable pockets in Nsp1 of SARS-CoV-2 and other β-coronaviruses using simulations and crystallography, showing potential for new inhibitors.

bioRxiv · May 20, 2022Biophysics