GEN-MKT-18-7897-A
Jul 26, 2018 | Blogs, Pharma | 0 comments
Are you looking to improve your MetID studies? Want to achieve the productivity and throughput you need to keep your projects moving and have complete confidence that you’re not missing any low level or parent-like metabolites in your sample? In this blog, we’re bringing you the highlights from the recently released Metabolism and Biotransformation Application eBook. This eBook is packed with solution guides, webinars, videos, bulletins, and other resources.
What are Metabolism and Biotransformation Solutions?Biotransformation studies in discovery and development present their own unique challenges. During discovery, workflows can be hindered by complex hardware and sluggish software that may struggle to handle complex therapeutics or require extensive manual interpretation. In development, the possibility of missing low level or toxic metabolites is a huge risk, not to mention cumbersome data processing that can be required, especially for analysis of large molecule therapeutics. In recognition of these challenges, we’ve developed two integrated solutions to streamline your routine and advanced biotransformation studies so you can get confident answers as efficiently as possible. The eBook expands on these solutions for your lab.
How Can You Speed High-Throughput MetID Analyses?The Routine Biotransform Solution offers a simple and streamlined platform for high-throughput MetID analyses for both small and large molecule therapeutics. This solution is for you if you need to maximize compound analysis, reduce method development time, and automate data processing to identify the top metabolites and soft spots. Fully integrated into one complete solution, with the easy-to-use X500R QTOF system and intuitive SCIEX OS user interface, we have made MetID as simple and fast as possible for the top metabolites and biotherapeutic catabolites.
How Can You Achieve Comprehensive Metabolite ID?The Advanced Biotransform Solution is designed for pushing the limits of metabolite and biotherapeutic catabolite identification. If you need to advance new drugs through metabolism studies in the development pipeline with the most advanced, integrated solution available on the market, you’ll want to try this solution. You get maximum sensitivity and dynamic range for low-level metabolite ID using the Triple TOF 6600 system with ultra-fast and unbiased SWATH® Acquisition. You can be confident you are acquiring high-quality data on all detectable metabolites in your sample; nothing hides from this solution.
I’m Still Not Convinced, What Else Can You Offer?Well if that isn’t enough, we integrated our industry-leading MetabolitePilot™ Software 2.0 for small molecule metabolite identification and large molecule catabolite investigation. Now you can take your biologic data processing beyond laborious manual spreadsheets and accelerate it with fully automated analysis and reporting.
Why Should I Download This eBook?Download the Metabolism and Biotransformation Application eBook today and learn how to transform your metabolism studies. Achieve the throughput you need to keep your projects moving and have complete confidence that you’re not missing any low level or parent-like metabolite in your sample. Now you know what you are missing, what are you waiting for?
Ready to speak to an expert about implementing this solution in your lab? Comment below, and we’ll set you up with a technical specialist.
Electron-Activated Dissociation (EAD) is transforming the fields of metabolomics and lipidomics by providing enhanced fragmentation techniques that offer deeper insights into molecular structures. In September, Technology Networks hosted a webinar, “Enhancing Mass-Based Omics Analysis in Model Organisms,” featuring Dr. Valentina Calabrese from the Institute of Analytical Sciences at the University of Lyon. Valentina shared her insights on improving omics-based mass spectrometry analysis for toxicology studies using model organisms, particularly in metabolomics and lipidomics. This blog explores the additional functionalities EAD offers, its benefits in untargeted workflows, its incorporation into GNPS and molecular networking, and the future role it could play in these scientific domains.
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