Author
T. Tlusty
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Biology Disciplines
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2018-2023 · peak 3/yrCo-Author Collaboration Network
10 top collaborators · 8 mutual co-author links11 papers
Recent·Most cited
AI-predicted protein deformation encodes energy landscape perturbation
The paper uses AlphaFold2 to predict structural deformation from mutations and finds that physical strain correlates well with experimental folding free energy changes, suggesting structures encode energy landscape details.
bioRxiv · Oct 12, 2023Biophysics
General theory of specific binding: insights from a genetic, mechano-chemical protein model
J. M. McBride, J.-P. Eckmann, T. Tlusty
The paper presents a model combining chemistry, mechanics, and genetics to explain how proteins evolve high specificity through precision and size, making testable predictions about discrimination mechanisms.
bioRxiv · Feb 26, 2022Biochemistry
Acceleration of enzymatic catalysis by active hydrodynamic fluctuations
A. K. Tripathi, T. Das, G. Paneru, H. K. Pak, T. Tlusty
The paper investigates how active hydrodynamic fluctuations influence enzymatic catalytic rates, finding that fast noise components enhance reaction rates while slow components have little effect.
bioRxiv · Apr 28, 2021Biophysics
Structural asymmetry along protein sequences and co-translational folding
The paper analyzes protein structures to show that structural asymmetry correlates with co-translational folding rates, proposing that evolutionary pressure favors positioning slower-folding elements near the N-terminal.
bioRxiv · Sep 26, 2020 · PreprintBiophysics
Green function of correlated genes and themechanical evolution of protein
S. Dutta, J.-P. Eckmann, A. Libchaber, T. Tlusty
The paper introduces a mechanical framework linking protein sequence, dynamics, and function through the Green function, showing how epistasis arises from nonlinearity in force propagation.
bioRxiv · Jan 10, 2018Biophysics