Albert-László Barabási

TL;DR: This blueprint deduced common antibiotic targets in Escherichia coli and Staphylococcus aureus by identifying shared tissue-specific or uniformly essential metabolic reactions in their metabolic networks and predicted through virtual screening dozens of potential inhibitors for several enzymes of these reactions and showed experimentally that a subset of these inhibited both enzyme activities in vitro and bacterial cell viability.

TL;DR: This study shows that popularity is a strong force in shaping complex network structure and dynamics, but so too is similarity, and develops a model that increases the accuracy of network-evolution predictions by considering the trade-offs between popularity and similarity.

TL;DR: Barabsi et al. as mentioned in this paper found that human behavior follows predictable laws, such as work and fight and play in short flourishes of activity followed by next to nothing, revealing an astonishing deep order in human actions that makes us far more predictable than we like to think.

TL;DR: In this paper, the effect of weight assignment and network topology on the organization of complex networks was explored using the minimum spanning tree (MST) to explore the impact of weak links.

TL;DR: In this article, the uremic toxin indoxyl sulfate is an independent cardiovascular risk factor for chronic kidney disease (CKD) and its underlying mechanisms remain obscure.