Review of QSAR Models and Software Tools for predicting Developmental and Reproductive Toxicity

نویسندگان

  • Elena Lo Piparo
  • Andrew Worth
چکیده

This report provides a state-of-the-art review of available computational models for developmental and reproductive toxicity, including Quantitative Structure-Activity Relationship (QSARs) and related estimation methods such as decision tree approaches and expert systems. At present, there are relatively few models for developmental and reproductive toxicity endpoints, and those available have limited applicability domains. This situation is partly due to the biological complexity of the endpoint, which covers many incompletely understood mechanisms of action, and partly due to the paucity and heterogeneity of high quality data suitable for model development. In contrast, there is an extensive and growing range of software and literature models for predicting endocrine-related activities, in particular models for oestrogen and androgen activity. There is a considerable need to further develop and characterise in silico models for developmental and reproductive toxicity, and to explore their applicability in a regulatory setting. LIST OF ABBREVIATIONS AD Applicability Domain AR Androgen Receptor CASE Computer Automated Structure Evaluation CoMFA Comparative Molecular Field Analysis EC European Commission ECHA European Chemicals Agency EAS Endocrine Active Substances ED Endocrine Disruptor EINECS European Inventory of Existing Chemical Substances ER Oestrogen Receptor GRIND GRid INdependent Descriptors HTS High-throughput screening IC50 Half Maximal Inhibitory Concentration ILSI International Life Sciences Institute JRC Joint Research Centre LBD Ligand Binding Domain LD50 Median Lethal Dose NMR Nuclear Magnetic Resonance NR Nuclear receptor MCASE Multi Computer Automated Structure Evaluation MC4PC Multi CASE for Personal Computer OECD Organisation for Economic Cooperation and Development OPS Optimal Predictive Space PASS Prediction of Activity Spectra for Substances PDB Protein Data Bank PPAR Peroxisome Proliferator Activated Receptor PR Progesterone Receptor (Q)SAR (Quantitative) Structure-Activity Relationship REACH Registration, Evaluation, Authorisation and Restriction of Chemicals SDF Structure Data file SERM Selective Estrogen Receptor Modulator TEST Toxicity Estimation Software Tool TIMES Tissue MEtabolism Simulator US EPA United States Environmental Protection Agency WoE Weight of Evidence

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

QSAR models for reproductive toxicity and endocrine disruption in regulatory use – a preliminary investigation†

A special challenge in the new European Union chemicals legislation, Registration, Evaluation and Authorisation of Chemicals, will be the toxicological evaluation of chemicals for reproductive toxicity. Use of valid quantitative structure-activity relationships (QSARs) is a possibility under the new legislation. This article focuses on a screening exercise by use of our own and commercial QSAR ...

متن کامل

The effects of cinnamaldehyde and eugenol on human adipose-derived mesenchymal stem cells viability, growth and differentiation: a cheminformatics and in vitro study

Objective: The aim of this study was to estimate the cheminformatics and qualitative structure-activity relationship (QSAR) of cinnamaldehyde and eugenol. The effects of cinnamaldehyde and eugenol on the viability, doubling time and adipogenic or osteogenic differentiations of human adipose-derived mesenchymal stem cells (hASCs) were also investigated.  Materials and Methods: QSAR and toxicity ...

متن کامل

CAESAR models for developmental toxicity

BACKGROUND The new REACH legislation requires assessment of a large number of chemicals in the European market for several endpoints. Developmental toxicity is one of the most difficult endpoints to assess, on account of the complexity, length and costs of experiments. Following the encouragement of QSAR (in silico) methods provided in the REACH itself, the CAESAR project has developed several ...

متن کامل

Formation of mechanistic categories and local models to facilitate the prediction of toxicity.

There is a range of in silico techniques that can be applied to predict the toxicity of chemicals. This paper discusses the use of methods to create "local" models, particularly based around category formation and read-across, to predict toxicity. Specifically, this is illustrated with regard to categories for predicting skin sensitisation and teratogenicity. These were formed using mechanistic...

متن کامل

A review of acrylamide toxicity and its mechanism

Acrylamide (AA) is an important industrial chemical agent that is mainly used in the production of polymers and copolymers. Recently it has been attention because of its production in the diet at high-temperature (>120 ºC) processes such as cooking, frying, toasting, roasting or baking of high carbohydrate foods. According to high exposure to acrylamide, recognition of its toxic effect is ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2010