Working on understanding the mechanism of neurotoxins and making its dataset for toxicophore analysis
Rodolfo Bolaños Barrera
ToxEvaluator: A platform for evaluating the potential toxicity of chemical compounds MolPort: An online search engine for finding and buying chemicals and related products Toxtree: An open-source tool for predicting toxicological properties of chemical compounds eTOXlab: An online platform for the prediction of toxicological endpoints and pharmacological properties of chemical compounds. NucleaRISK: A platform for the prediction of nuclear receptors mediated toxicity of chemicals. ECOSAR: A tool for estimating the aquatic toxicity of chemicals.
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Justin Ogala
DeepTox: This is an online tool that uses deep learning algorithms to predict toxicity endpoints. It can predict toxicity endpoints such as carcinogenicity, mutagenicity, hepatotoxicity, and neurotoxicity. It also provides information on the structural alerts responsible for toxicity. Chembench: This is a web server that provides a suite of cheminformatics tools, including toxicity prediction models. It has several models for neurotoxicity prediction that can be used to identify structural alerts. OSIRIS Property Explorer: This is an online tool that can predict toxicity endpoints, including neurotoxicity. It uses a combination of rule-based and statistical models to predict toxicity. It also provides information on the structural alerts responsible for toxicity. Pred-Skin: This is an online tool that can predict skin sensitization and other toxicological endpoints, including neurotoxicity. It uses a combination of machine learning algorithms and rule-based models to predict toxicity. VEGA-QSAR: This is a web server that provides several QSAR models for predicting toxicity endpoints, including neurotoxicity. It also provides information on the structural alerts responsible for toxicity.
Yes, there are other online tools and web servers available that can be used to detect structural alerts for neurotoxicity. Here are some examples:
Note that the performance of these tools may vary depending on the dataset used for model development and the structural alerts included in the models. It is recommended to use multiple tools and compare their predictions to obtain a more robust prediction of neurotoxicity.
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