Ivanka Tsakovska

TL;DR: An overview of ECB activities on computational toxicology is provided, which are intended to promote the development, validation, acceptance and use of (Q)SARs and related estimation methods, both at the European and international levels.

TL;DR: Promising recent approaches that have been developed with the aim of circumventing or overcoming MDR are explored, including the pharmaco-modulation of acridine, the use of natural compounds as means to reverse MDR, and the conjugation of anticancer drugs with carriers that target specific tumor-cell components.

TL;DR: This report provides preliminary guidance on how to characterise (Q)SARs according to the OECD validation principles, and is likely that an update will be produced in the future for the benefit of those who need to submit (Industry) or evaluate (Authorities) chemical information based (partly) on (Q).

TL;DR: The results of the analysis point to two QSAR models (one for mutagenicity and one for rodent carcinogenicity) as reliable tools for the in silico characterization of the risk posed by the aromatic amines.

TL;DR: This review aims at presenting the state of the art in quantum chemical and QSAR studies of phenolic antioxidants and at analysing the trends observed in the field in the last decade.