Despite considerable progress in genome-and proteome-based high-throughput screening
methods and in rational drug design, the increase in approved drugs in the past decade did …

Introduction Network representation can give a holistic view of relationships for biomedical
entities through network topology. Link prediction estimates the probability of link formation …

Drug target interactions (DTIs) are crucial in pharmacology and drug discovery. Presently,
experimental determination of compound–protein interactions remains challenging because …

This work is aimed at describing the workflow for a methodology that combines
chemoinformatics and pharmacoepidemiology methods and at reporting the first predictive …

The emergence of multidrug-resistant (MDR) strains with perturbed metabolic networks
(MNs) pushes researchers to improve antibacterial drugs (ADs). Certain nanoparticles (NPs) …

Predicting enzyme function and enzyme subclasses is always a key objective in fields such
as biotechnology, biochemistry, medicinal chemistry, physiology, and so on. The Protein …

What is information? What role does information entropy play in this information exploding
age, especially in understanding emergent behaviors of complex systems? To answer these …

Complex phenotypes emerge from the interactions of thousands of macromolecules that are
organized in multimolecular complexes and interacting functional modules. In turn, modules …

Tuberculosis (TB) constitutes one of the most dangerous and serious health problems
around the world. It is a very lethal disease caused by microorganisms of the genus …

Nanoparticles are useful antimicrobial drug-release systems, but some nanoparticles also
exhibit antibacterial activity. However, investigation of their antibacterial activity is a difficult …