Author

D. Perahia

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 Research Focus:protein folding & dynamics· 2 Assay:protein structure· 2 Approach:statistical model· 2 Organism:virus· 1

Frequent Co-Authors

A. Klioussof· 1 shared A. L. B. Scott· 1 shared A. Magro· 1 shared B. Dudas· 1 shared E. A. Philot· 1 shared E. Torres-Bonfim· 1 shared J. C. de Mattos· 1 shared M. G. S. Costa· 1 shared

Activity by Year

2021-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperBiophysics

A. Klioussof

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2 papers

Recent·Most cited

Adaptive collective motions: a hybrid method to improve conformational sampling with molecular dynamics and normal modes

P. T. Resende-Lara, M. G. S. Costa, B. Dudas, D. Perahia

The paper introduces an improved MDeNM method for conformational sampling, showing better performance than standard MD and preserving structural features.

bioRxiv · Nov 29, 2022 · PreprintBiophysics

Unveiling Mutation Effects on the Structural Dynamics of the Main Protease from SARS-CoV-2 with Hybrid Simulation Methods

E. A. Philot, P. Gasparini, J. C. de Mattos, A. Magro, E. Torres-Bonfim, R. C. N. Quiroz, A. Klioussof, D. Perahia, A. L. B. Scott

This study uses hybrid simulation methods to analyze how mutations affect the structural dynamics of SARS-CoV-2 Mpro, identifying changes in stability and function across variants.

bioRxiv · Jul 17, 2021Biophysics