BookLuis Olivares-Quiroz, Osbaldo Resendis-Antonio, editors.
Summary: This book presents cutting-edge research on the use of physical and mathematical formalisms to model and quantitatively analyze biological phenomena ranging from microscopic to macroscopic systems. The systems discussed in this compilation cover protein folding pathways, gene regulation in prostate cancer, quorum sensing in bacteria to mathematical and physical descriptions to analyze anomalous diffusion in patchy environments and the physical mechanisms that drive active motion in large sets of particles, both fundamental descriptions that can be applied to different phenomena in biology. All chapters are written by well-known experts on their respective research fields with a vast amount of scientific discussion and references in order the interested reader can pursue a further reading. Given these features, we consider Quantitative Models for Microscopic to Macroscopic Biological Macromolecules and Tissues as an excellent and up-to-date resource and reference for advanced undergraduate students, graduate students and junior researchers interested in the latest developments at the intersection of physics, mathematics, molecular biology, and computational sciences. Such research field, without hesitation, is one of the most interesting, challenging and active of this century and the next.
Contents:
Diverse protein-folding pathways and functions of beta-hairpins and beta-sheets
MicroRNAs, gene's regulator in prostate cáncer
Subdiffusive Transport in Heterogeneous Patchy Environments
Molecular assembling of the bacterial injectisome: a nanomachine used to inject effector proteins
Pressure-driven DNA denaturation: state of the art and perspectives
In silico identification and gene expression analysis of CDF-like genes from Trichomonas vaginalis in response to Zinc
Dynamical features of a biochemical interaction in a plant root hair cell; a long story short
Homeostasis from a time-series perspective: An intuitive interpretation of the variability of physiological variables
Looking for biomarkers in physiological time series
Systems Biology, Metabolomics and Breast Cancer: Where we are and which is the possible destination in the clinic
Local effective temperatures for the patterns of motion of active particles.