At the initial stage of drug discovery, identifying novel targets with maximal efficacy and
minimal side effects can improve the success rate and portfolio value of drug discovery …

Precision medicine allows a dramatic expansion of biological data, while there is still an
urgent need to understand and insight the exact meaning of those data to human health and …

Background Bacterial invasive infection and host immune response is fundamental to the
understanding of pathogen pathogenesis and the discovery of effective therapeutic drugs …

Computational methods for drug combination predictions are needed to identify effective
therapies that improve durability and prevent drug resistance in an efficient manner. In this …

Network analysis through graph theory provides a quantitative approach to characterize
specific proteins and their constituent assemblies that underlie host-pathogen interactions …

The discovery of new drugs is required in the time of global aging and increasing
populations. Traditional drug development strategies are expensive, time-consuming, and …

On the basis of reported antimycobacterial property of chroman-4-one pharmacophore, a
series of chemically modified bis-spirochromanones were synthesized starting from 2 …

Bacterial protein–protein interaction (PPI) networks are significant to reveal the machinery of
signal transduction and drug resistance within bacterial cells. The database STRING has …

A decentralized control algorithm for routing flow in complex networks is proposed. The aim
is to fairly distribute the supply/demand among the nodes while maintaining maximum flow …

As drug development is extremely expensive, the identification of novel indications for in‐
market drugs is financially attractive. Multiple algorithms are used to support such drug …