Author

V. Pande

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· 2 Biophysics· 2 Evolutionary Biology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Approach:deep learning· 2 Organism:bacteria (other)· 1 Research Focus:cell signaling & trafficking· 1 Research Focus:chromatin & epigenetic regulation· 1 Assay:DNA methylation· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

M. M. Sultan· 2 shared A. DAS· 1 shared A. Sinha· 1 shared G. Kiss· 1 shared J. Frydman· 1 shared K. Dalton· 1 shared M. Dash· 1 shared N. Mitra· 1 shared

Activity by Year

2017-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 8 mutual co-author links

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2 shared papersBiophysics

M. M. Sultan

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Author profile →

5 papers

Recent·Most cited

Evolution of tandem repeats in putative CSP to enhance its function: A recent and exclusive event in Plasmodium vivax in India

M. Dash, V. Pande, A. DAS, A. Sinha

The paper identifies genetic polymorphism and natural selection in PvpuCSP of Plasmodium vivax, highlighting its role in adaptation and diversity.

bioRxiv · Nov 28, 2023 · PreprintEvolutionary Biology

Filament dynamics driven by ATP hydrolysis modulates membrane binding of the bacterial actin MreB

V. Pande, N. Mitra, S. R. Bagde, R. Srinivasan, P. Gayathri

This study shows that ATP hydrolysis modulates MreB filament dynamics and membrane binding, affecting filament length, bundling, and curvature-dependent orientation.

bioRxiv · Apr 8, 2021Biochemistry

REP-X: An Evolution-guided Strategy for the Rational Design of Cysteine-less Protein Variants

K. Dalton, T. Lopez, V. Pande, J. Frydman

The paper introduces REP-X, a tool that uses evolutionary information to design cysteine-less protein variants while maintaining activity and stability.

bioRxiv · Oct 8, 2019Biochemistry

Towards simple kinetic models of functional dynamics for a kinase subfamily

M. M. Sultan, G. Kiss, V. Pande

The paper presents molecular dynamics simulations and a sequence invariant Markov state model to analyze the structural dynamics of seven Src family kinases, identifying druggable intermediate states.

bioRxiv · Dec 3, 2017Biophysics

Transfer Learning from Markov models leads to efficient sampling of related systems

M. M. Sultan, V. Pande

The paper applies transfer learning from Markov models to improve sampling efficiency in related molecular systems by reusing slow modes and structural information from wild-type simulations.

bioRxiv · Sep 21, 2017Biophysics