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

BiophysicsbioRxivPreprintNov 29, 2022

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.

DOI 10.1101/2022.11.29.517349

protein structuredeep learning

𝕏 PostBluesky

BiophysicsbioRxivJul 17, 2021

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. 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.

DOI 10.1016/j.jmgm.2023.108443

virusprotein structure

𝕏 PostBluesky