Toxicity prediction is a critical step in the drug discovery process that helps identify and
prioritize compounds with the greatest potential for safe and effective use in humans, while …

The common and persistent failures to translate promising preclinical drug candidates into
clinical success highlight the limited effectiveness of disease models currently used in drug …

Background Conventional preclinical models often miss drug toxicities, meaning the harm
these drugs pose to humans is only realized in clinical trials or when they make it to market …

Abstract Background & Aims Preclinical identification of compounds at risk of causing drug
induced liver injury (DILI) remains a significant challenge in drug development, highlighting …

Nanotechnology is one of the frontier areas of research involving nanoscale manipulation of
atoms and molecules. Its development is one of the most innovative advancement of …

The early and efficient assessment of cardiac safety liabilities is essential to confidently
advance novel drug candidates. This article discusses evolving mechanistically based …

Drug-induced liver injury (DILI) continues to be a major source of clinical attrition,
precautionary warnings, and post-market withdrawal of drugs. Accordingly, there is a need …

In the pharmaceutical industry, improving the early detection of drug-induced hepatotoxicity
is essential as it is one of the most important reasons for attrition of candidate drugs during …

Malaria is a devastating infection caused by protozoa of the genus Plasmodium. Drug
resistance is widespread, no new chemical class of antimalarials has been introduced into …

Molecular modelers and cheminformaticians typically analyze experimental data generated
by other scientists. Consequently, when it comes to data accuracy, cheminformaticians are …