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Meteor Nexus

In silico software for predicting and analyzing the metabolic fate and potential toxicity of chemical substances in drug development.

Solution by Lhasa
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Overview

Meteor Nexus is an in silico software designed to enhance the understanding of the metabolic fate of chemical substances during drug development. It plays a crucial role in identifying and analyzing the metabolic pathways and potential toxicity of both parent compounds and their metabolites.

Understanding metabolism early in drug research is vital as it can significantly reduce development time and improve the chances of success in later stages. Meteor Nexus employs computational methods to predict metabolic outcomes, facilitating early metabolite screening and providing greater transparency and control over metabolic processes.

Meteor Nexus Highlights

  • Identify Metabolites: The software offers in-depth insights into metabolic transformations, aiding in the elucidation of structures of experimentally observed metabolites.
  • Analyze Metabolite Predictions: Predictions regarding metabolic fate are clearly presented, accompanied by detailed evidence supporting the predicted biotransformations.
  • Access Metabolism Knowledge: The knowledge base within Meteor Nexus is continuously updated with both public and proprietary data, ensuring extensive coverage of biotransformations.

Regulatory Support

Meteor Nexus supports regulatory requirements such as ICH M7, which emphasizes the need for detailed reporting and control of impurities in drug substances. This includes the identification and analysis of metabolites to manage toxic impurities early in the drug screening process. The software can be used alongside Derek Nexus for comprehensive toxicity predictions related to metabolites.

The safety of metabolites is a critical consideration in drug development, and Meteor Nexus provides valuable insights to support this aspect.

Meta

Category
Proteomics / Metabolomics Analysis
Field(s)
Omics & Data Analysis
Target user(s)
Bioinformatician / Data Scientist
Tag(s)
Drug DiscoveryMetabolomics / Lipidomics