Results 261 to 270 of about 4,546,897 (298)

The effect of network biology on drug toxicology

Expert Opinion on Drug Metabolism and Toxicology, 2013
The high failure rate of drug candidates due to toxicity, during clinical trials, is a critical issue in drug discovery. Network biology has become a promising approach, in this regard, using the increasingly large amount of biological and chemical data available and combining it with bioinformatics.
Olivier Taboureau, Karine Audouze, Laurent Gautier   +2 more
exaly   +3 more sources

Artificial neural networks in contemporary toxicology research

Chemico-Biological Interactions, 2023
Artificial neural networks (ANNs) have a huge potential in toxicology research. They may be used to predict toxicity of various chemical compounds or classify the compounds based on their toxic effects. Today, numerous ANN models have been developed, some of which may be used to detect and possibly explain complex chemico-biological interactions. Fully
Igor Pantic, Jovana Paunovic, Jelena Cumic, Svetlana Valjarevic, Georg A. Petroianu, Peter R. Corridon   +5 more
openaire   +2 more sources

Neural grammar networks for toxicology

2010 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2010
In this paper we compare two methods for toxicity prediction: a novel method called a neural grammar network (NGN) and a more conventional Quantitative Structure Activity Relation (QSAR) approach based on a feed forward artificial neural network (ANN).
Christopher J. F. Cameron, Eddie Y. T. Ma, Timothy C. Kremer   +2 more
openaire   +2 more sources

The impact of network biology in pharmacology and toxicology

SAR and QSAR in Environmental Research, 2012
With the need to investigate alternative approaches and emerging technologies in order to increase drug efficacy and reduce adverse drug effects, network biology offers a novel way of approaching drug discovery by considering the effect of a molecule and protein's function in a global physiological environment.
Panagiotou, G.; Taboureau, O.
openaire   +4 more sources

Exploring the toxicological mechanisms of atrazine in prostate cancer by network toxicology and molecular docking

Reproductive Toxicology
Atrazine (ATZ) is the second most used herbicide against broadleaf and grassy weeds worldwide. ATZ persists in soil and water due to its long half-life, and is considered an endocrine disrupting chemical for humans. Epidemiological studies have indicated an intimate relationship between ATZ and the pathogenesis of prostate cancer (PCa).
Jinwen, Mi, Siyuan, Wang, Yifan, Hong, Shengde, Wu, Guanghui, Wei   +4 more
openaire   +2 more sources

Toxicological Assessment Via Gene Network Analysis

2015
Network inference and the analysis of a sub-network involved in the toxicological response are described in this chapter. The chapter introduces the project and the scientific context in which it was conceived and reviews the materials and methods used in the experiment. The methods section is organized into three parts that describe the data gathering
Lacobacci Simona, Gregoretti Francesco, Oliva Gennaro, Polishchuk Roman, Belcastro Vincenzo   +4 more
openaire   +1 more source

Defining toxicological tipping points in neuronal network development

Toxicology and Applied Pharmacology, 2018
Measuring electrical activity of neural networks by microelectrode array (MEA) has recently shown promise for screening level assessments of chemical toxicity on network development and function. Important aspects of interneuronal communication can be quantified from a single MEA recording, including individual firing rates, coordinated bursting, and ...
Christopher L, Frank, Jasmine P, Brown, Kathleen, Wallace, John F, Wambaugh, Imran, Shah, Timothy J, Shafer   +5 more
openaire   +2 more sources

Probing the Mechanism of Hepatotoxicity of Hexabromocyclododecanes through Toxicological Network Analysis

Environmental Science & Technology, 2020
The prediction and mechanism analysis of hepatotoxicity of contaminants, because of their various phenotypes and complex mechanisms, is still a key problem in environmental research. We applied a toxicological network analysis method to predict the hepatotoxicity of three hexabromocyclododecane (HBCD) diastereoisomers (α-HBCD, β-HBCD, and γ-HBCD) and ...
Weina Dai, Tiantian Tang, Zhenghua Dai, Da Shi, Lingyun Mo, Yonghong Zhang   +5 more
openaire   +2 more sources

Iberoamerican Network of Toxicology and Chemical Safety

2023
The Iberoamerican network of toxicology and chemical safety (RITSQ) was established in March 2008 and has had 79,268 visits to the website of the same of 53,759 users. Over 1,700 people from 81 countries have registered on the RITSQ and to date there have been 80 posters in presentation in meetings, and Conferences.
Herrero, Óscar, Cavieres, Fernanda, Gutiérrez, Rita C., Pillco, Araceli, de la Peña, Eduardo   +4 more
openaire   +1 more source

Artificial Neural Network Modeling in Environmental Toxicology

2008
Artificial neural networks are increasingly used in environmental toxicology to find complex relationships between the ecotoxicity of xenobiotics and their structure and/or physicochemical properties. The raison d'etre of these nonlinear tools is their ability to derive powerful QSARs for molecules presenting different mechanisms of action.
openaire   +2 more sources