Designing proteins: Mimicking natural protein sequence heterogeneity. [PDF]
J Chem PhysLequerica-Mateos M +4 more
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Direct computations of viscoelastic moduli of biomolecular condensates. [PDF]
J Chem PhysCohen SR, Banerjee PR, Pappu RV.
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A Comparison of Monte Carlo Methods for Computing Marginal Likelihoods of Item Response Theory Models. [PDF]
J Korean Stat Soc, 2019 Liu Y, Hu G, Cao L, Wang X, Chen MH.
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Monte Carlo simulations for free energies of hydration: Past to present. [PDF]
J Chem PhysJorgensen WL.
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Rejoinder: A comparison of Monte Carlo methods for computing marginal likelihoods of item response theory models. [PDF]
J Korean Stat Soc, 2019 Liu Y, Hu G, Cao L, Wang X, Chen MH.
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Diffusion of proteins in crowded solutions studied by docking-based modeling. [PDF]
J Chem PhysSingh A, Kundrotas PJ, Vakser IA.
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Improved Monte Carlo methods for estimating confidence intervals for eleven commonly used health disparity measures. [PDF]
PLoS One, 2019 Ahn J, Harper S, Yu M, Feuer EJ, Liu B.
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Quasi-Monte Carlo Methods Applied to Tau-Leaping in Stochastic Biological Systems. [PDF]
Bull Math Biol, 2019 Beentjes CHL, Baker RE.
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Diffusion Equation-Assisted Markov Chain Monte Carlo Methods for the Inverse Radiative Transfer Equation. [PDF]
Entropy (Basel), 2019 Li Q, Newton K.
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Segmenting Proteins into Tripeptides to Enhance Conformational Sampling with Monte Carlo Methods. [PDF]
Molecules, 2018 Denarie L +4 more
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