Author

L. G. Smith

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· 4 Plant Biology· 3

Signature Assays, Organisms & Methods

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Approach:statistical model· 4 Approach:experimental assay· 3 Organism:plant (other)· 3 Research Focus:cell type annotation· 2 Approach:deep learning· 2 Research Focus:development & morphogenesis· 2 Research Focus:drug response / drug discovery· 2 Research Focus:protein folding & dynamics· 2

Frequent Co-Authors

G. R. Bowman· 3 shared I. Molina· 3 shared R. Bourgault· 3 shared B. Novak· 2 shared M. A. Gore· 2 shared M. J. Scanlon· 2 shared M. Mohammadi· 2 shared P. Qiao· 2 shared

Activity by Year

2018-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 22 mutual co-author links

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3 shared papersBiophysics

G. R. Bowman

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Author profile →

7 papers

Recent·Most cited

POPSHIFT: A THERMODYNAMICALLY SOUND APPROACH TO ESTIMATE BINDING FREE ENERGIES BY ACCOUNTING FOR LIGAND-INDUCED POPULATION SHIFTS FROM A LIGAND-FREE MSM

L. G. Smith, B. Novak, M. Osato, D. L. Mobley, G. R. Bowman

The paper introduces PopShift, a method to estimate binding free energies by accounting for ligand-induced population shifts in protein conformations using Markov state models, showing improved accuracy over traditional methods.

bioRxiv · Jul 14, 2023 · PreprintBiophysics

Drug specificity and affinity are encoded in the probability of cryptic pocket opening in myosin motor domains

A. Meller, J. M. Lotthammer, L. G. Smith, B. Novak, L. A. Lee, C. C. Kuhn, L. Greenberg, L. A. Leinwand, M. J. Greenberg, G. R. Bowman

This paper shows that the probability of cryptic pocket opening in myosin motor domains predicts drug specificity and affinity, using molecular dynamics simulations and Markov state models.

bioRxiv · Sep 5, 2022Biophysics

Apolipoprotein E4 has extensive conformational heterogeneity in lipid free and bound forms

M. D. Stuchell-Brereton, M. I. Zimmerman, J. J. Miller, U. L. Mallimadugula, J. J. Incicco, D. Roy, L. G. Smith, B. Baban, G. T. DeKoster, C. Frieden, G. R. Bowman, A. Soranno

This study uses single-molecule spectroscopy and molecular dynamics simulations to show that ApoE4 has extensive conformational heterogeneity in both lipid-free and lipid-bound states, differing from previous models.

bioRxiv · Feb 2, 2022Biophysics

Structure-function analysis of the maize bulliform cell cuticle and its role in dehydration and leaf rolling

S. Matschi, M. F. Vasquez, R. Bourgault, P. Steinbach, J. Chamness, N. Kaczmar, M. A. Gore, I. Molina, L. G. Smith

The study identifies a specialized cuticle in maize bulliform cells that facilitates leaf rolling during dehydration by increasing water loss compared to other epidermal cell types.

bioRxiv · Feb 6, 2020Plant Biology

Network analyses implicate a role for PHYTOCHROME-mediated light signaling in the regulation of cuticle development in plant leaves

P. Qiao, R. Bourgault, M. Mohammadi, L. G. Smith, M. A. Gore, I. Molina, M. J. Scanlon

The paper identifies PHYTOCHROME-mediated light signaling as a regulator of cuticle development in plants through network and genetic analyses.

bioRxiv · Oct 21, 2019 · PreprintPlant Biology

Changes in lipid composition and ultrastructure associated with functional maturation of the cuticle during adult maize leaf development

R. Bourgault, S. Matschi, M. Vasquez, P. Qiao, A. Sonntag, C. Charlebois, M. Mohammadi, M. J. Scanlon, L. G. Smith, I. Molina

The paper examines cuticle composition, ultrastructure, and permeability in adult maize leaves during development, revealing roles for wax esters and an osmiophilic layer in dehydration protection.

bioRxiv · May 2, 2019 · PreprintPlant Biology

Chemically Accurate Relative Folding Stability of RNA Hairpins from Molecular Simulations

L. G. Smith, Z. Tan, A. Spasic, D. Dutta, L. A. Salas-Estrada, A. Grossfield, D. Mathews

This study compares simulated and experimental free energies of RNA hairpins to assess force field accuracy and proposes methods to improve simulation convergence.

bioRxiv · Jun 22, 2018Biophysics