The contact probabilities measured for mitotic chromosomes could not be described by polymer simulations of a hierarchical folding model, but instead matched the predictions made by models of consecutive loops of 80 120 kb in size, irrespective of whether the bases of the loops were constrained to a central axis or not.
The resulting curve was computed and a model of two consecutive reactions occuring at the interface was proposed to describe the adsorption reaction.
First, a small but illustrative model of two consecutive reactions (17) A → θ 1 B → θ 2 C with rates θ1 = 0.05, θ2 = 0.1 and initial conditions A 0) = θ3 = 1, B 0) = 0, C(0) = 0 is utilized to illustrate our approach.
The histograms of dwell times of the E state followed single exponential functions, whereas those of the R state were well fitted with the model of two consecutive ATP binding events at the other two β subunits triggering the transition of the β subunit from the R state to the E state.
The use of more advanced quantitative techniques to evaluate the maturing phagosomal proteome revealed a role for heterotrimeric G-proteins in phagosme maturation (Gotthardt et al., 2006) and has suggested that the classical model of three consecutive fusions events with different endosomal systems is probably overly simplistic (Gotthardt et al., 2006; Rogers and Foster, 2007).
Prospective prediction of invasive versus in situ breast cancer will require more sophisticated and accurate models, inclusion of consecutive cases of both benign and malignant diagnoses, and development of improved predictors, possibly molecular markers that confer invasive risk [ 32].
The combined model for consecutive reduction of NiO and NiAl2O4 in the oxygen-carrier particles with the kinetic parameters obtained in this work predicted adequately the experimental results with both materials.
To model the TM helices, in particular, we generated the Cα models of two consecutive helices (residues 403 412 and 415 442) separated by a kink for E1, and a long straight helix (residues 367 401) for E2.
To predict students' knowledge levels, we generated regression models from subsets of consecutive problems in a training session in order to understand after how many problems the prediction of students' knowledge level is best.
