Lindi M. Wahl

TL;DR: An overview of common methods of formulating R0 and surrogate threshold parameters from deterministic, non-structured models and the recent use of R0 in assessing emerging diseases, such as severe acute respiratory syndrome and avian influenza, a number of recent livestock diseases, and vector-borne diseases malaria, dengue and West Nile virus are surveyed.

TL;DR: A rapid, simple and general method based on information theory that accurately estimates the level of background mutual information for each pair of positions in a given protein family, and correctly identifies substantially more coevolving positions in protein families than any existing method.

TL;DR: The performance of various normalizations of MI in enhancing detection of co-evolving positions was assessed and it was found that normalization by the pair entropy was optimal.

TL;DR: The mathematical model revealed that interactions among osteoblasts and osteoclasts result in complex, nonlinear system behavior, which cannot be deduced from studies of each cell type alone, and will be useful in future studies assessing the impact of cytokines, growth factors, and potential therapies on the overall process of remodeling in normal bone.

TL;DR: It is found that coevolving positions are more likely to change protein function when mutated than are positions showing little coevolution, implying that information theory may be applied generally to find coevolved, nonconserved positions that are part of functional sites in uncharacterized protein families.