The objective function used for structure generation in MODELLER is referred to as a molecular PDF (probability density function).
Mixing at the molecular level is modelled with a presumed Probability Density Function (PDF) approach: the Direct Quadrature Method of Moments coupled with the Interaction by Exchange with the Mean (DQMOM-IEM) model.
Distribution of molecular weights of proteins is given by log-normal distribution with probability density function, where standard deviation and mean molecular weight kDa.
The modeling of mixing by molecular diffusion is a central aspect for transported probability density function (tPDF) methods.
For this, the isodensity polarisable continuum model (IPCM) provides an efficient way to consider the solvent effect as it defines the molecular cavity as a contour surface of constant electron probability density of the molecule [30].
This Markov Chain describes the temporal evolution of the probability density function of having certain species' molecular counts.
a The median estimates of the substitution rates and bTMRCA for the P1 and VP1 region are shown for each molecular clock with 95% lower and upper bounds of the highest probability density intervals in parentheses.
Moreover, the probability density $\rho$ is defined over phase space, instead of the space of molecular velocities.
In transported probability density function and filtered density function methods, micromixing models are required to close the molecular mixing term.
Introduction to probability theory, motivated by genetics and molecular evolution, including: discrete spaces, conditional probability, rare disease examples, discrete random variables, binomial and geometric distributions, continuous random variables, probability density functions, the normal distribution, and the CLT.
