Author

G. Archontis

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

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Approach:statistical model· 2 Organism:human· 1 Research Focus:protein design· 1 Research Focus:protein folding & dynamics· 1 Assay:protein sequence· 1 Assay:protein structure· 1

Frequent Co-Authors

S. Polydorides· 2 shared D. Mignon· 1 shared E. Michael· 1 shared F. Villa· 1 shared K. Druart· 1 shared T. Gaillard· 1 shared T. Simonson· 1 shared V. Opuu· 1 shared

Activity by Year

2020-2021 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 28 mutual co-author links

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2 shared papersBiophysics

S. Polydorides

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Author profile →

2 papers

Recent·Most cited

Computational optimization of the SARS-CoV-2 receptor-binding-motif affinity for human ACE2

S. Polydorides, G. Archontis

This paper uses computational methods to optimize SARS-CoV-2 RBD affinity for hACE2 by identifying key mutations that enhance binding and suggest potential viral strains with increased infectivity.

Biophysical Journal · Jul 1, 2021Peer-reviewedBiophysics

Proteus software for physics-based protein design

D. Mignon, K. Druart, V. Opuu, S. Polydorides, F. Villa, T. Gaillard, E. Michael, G. Archontis, T. Simonson

The paper introduces Proteus, a software tool for physics-based protein design, demonstrating its effectiveness in redesigning PDZ domains and enzymes with specific functional properties.

bioRxiv · Jun 30, 2020 · PreprintBiophysics