Toward Predictive Models of Mammalian Cells

Toward predictive models of mammalian cells.

Progress in experimental and theoretical biology is likely to provide us with the opportunity to assemble detailed predictive models of mammalian cells. Using a functional format to describe the organization of mammalian cells, we describe current approaches for developing qualitative and quantitative models using data from a variety of experimental sources. Recent developments and applications...

Toward more predictive genetic mouse models of Alzheimer's disease

Genetic mouse models for Alzheimer's disease (AD) have been widely used to understand aspects of the biology of the disease, but have had limited success in translating these findings to the clinic. In this review, we discuss the benefits and limitations of existing genetic models and recent advances in technologies (including high throughput sequencing and genome editing) that promise more pre...

Models of Ion Transport in Mammalian Cells

Cardiomyocytes, neurons, hepatocytes and erythrocytes are considered based on the algorithm ‘‘one ion—one transport system’’ models of some mammalian cells. Models of the compartments of mammalian cells, e.g., synaptic vesicles, sarcoand endoplasmic reticulum and mitochondria, are built; and models for the regulation of ion transport in mammalian cells and their compartments are presented. We f...

Performance Evaluation of Dynamic Modulus Predictive Models for Asphalt Mixtures

Dynamic modulus characterizes the viscoelastic behavior of asphalt materials and is the most important input parameter for design and rehabilitation of flexible pavements using Mechanistic–Empirical Pavement Design Guide (MEPDG). Laboratory determination of dynamic modulus is very expensive and time consuming. To overcome this challenge, several predictive models were developed to determine dyn...

Toward Predictive Protein Hypernetworks