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The binding free energies of podophyllotoxin-based inhibitors of tubulin were computed using a linear interaction energy (LIE) method with a surface generalized Born (SGB) continuum solvation model.
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For each species, we analyzed tiller growth rates as a function of precipitation treatment, neighbor removal (nested within a random effect for plot), and their two-way interaction, using a linear mixed-effect model (the "lme" function of package nlme in R 2.8 [2.8).
Protein quantities were modeled using a linear model with genotype, age and their interaction term controlling for blot.
Cell-to-cell mechanical interactions are modelled using a linear contact bond model in DEM.
We tested the interaction of HbA1c quartiles with slope of muscle decline using a linear regression model.
In addition, Monte Carlo simulation is carried out using a piecewise linear interaction model.
The statistical significance of a linear interaction was assessed using the likelihood ratio test.
Moreover, a linear interaction formula is used to assess the moment capacity of the tee-sections above and below the web openings under co-existing axial and shear forces.
In this implementation we have used a linear ODE model where the interaction between genes is additive.
The method represents nodes as point masses in an N−1dimensional space and uses a linear model to account for mutual interactions.
To test the presence of an interaction between direct and maternal effects, we used a linear reaction norm model.
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