Drug development is one of the most significant processes in the pharmaceutical industry.
Various computational methods have dramatically reduced the time and cost of drug …

Decades of nanotoxicology research have generated extensive and diverse data sets.
However, data is not equal to information. The question is how to extract critical information …

The high frequency of using engineered nanoparticles in various medical applications
entails a deep understanding of their interaction with biological macromolecules. Molecular …

Machine Learning (ML) techniques have been applied in the field of nanotoxicology with
very encouraging results. Adverse effects of nanoforms are affected by multiple features …

Given the rapid growth of nanotechnology, it is essential to know the hazardous effects of
metal oxide nanoparticles (MeOx NPs) posed to the living organisms within the ecosystem …

Over the past three decades, nanoscience has offered a unique solution for reducing the
systemic toxicity of chemotherapy drugs and for increasing drug therapeutic efficiency …

Introduction: Drug discovery is the process through which potential new compounds are
identified by means of biology, chemistry, and pharmacology. Due to the high complexity of …

The exercise of non-testing approaches in nanoparticles (NPs) hazard assessment is
necessary for the risk assessment, considering cost and time efficiency, to identify, assess …

Basic principles and problems of the systematization of data on nanomaterials are
discussed. The eclectic character of nanomaterials is defined as the key difference between …

Aim: To develop a comprehensive computational framework to simulate tissue distribution of
gold nanoparticles (AuNP) across several species. Materials & methods: This framework …