Author

S. A. Serapian

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 Biophysics· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:protein folding & dynamics· 2 Approach:statistical model· 2 Organism:human· 1 Assay:protein structure· 1 Approach:simulation· 1 Assay:structural biology· 1

Frequent Co-Authors

F. Marchetti· 2 shared G. Colombo· 2 shared A. J. Mulholland· 1 shared A. Rasola· 1 shared A. S. F. Oliveira· 1 shared A. Triveri· 1 shared E. Moroni· 1 shared F. Cinquini· 1 shared

Activity by Year

2021-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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2 shared papersBiochemistry

F. Marchetti

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Author profile →

2 papers

Recent·Most cited

Decrypting the languages of allostery in membrane-bound K-Ras4B using four complementary in silico approaches

M. Castelli, F. Marchetti, S. Osuna, A. S. F. Oliveira, A. J. Mulholland, S. A. Serapian, G. Colombo

The paper uses four in silico methods to analyze allostery in K-Ras4B, showing how different 'languages' of allostery change with GTP perturbation.

bioRxiv · Jul 14, 2023Biochemistry

SARS-CoV-2 Spike Protein Mutations and Escape from Antibodies: a Computational Model of Epitope Loss in Variants of Concern

A. Triveri, S. A. Serapian, F. Marchetti, F. Doria, S. Pavoni, F. Cinquini, E. Moroni, A. Rasola, F. Frigerio, G. Colombo

This study uses computational models to predict how SARS-CoV-2 spike protein mutations affect antibody binding, showing epitope loss in variants of concern.

bioRxiv · Jul 12, 2021Biophysics