This article provides a systematic evaluation of dereplication algorithms using the Global Natural Products Social (GNPS) mass spectrometry data ecosystem.
Natural products are a cornerstone of drug discovery, with over 50% of new drugs developed from 1981-2014 originating from these compounds [citation:2].
This article provides a comprehensive, comparative analysis of liquid chromatography-mass spectrometry (LC-MS) and gas chromatography-mass spectrometry (GC-MS) as core platforms for natural product metabolomics.
This article provides a systematic guide for researchers, scientists, and drug development professionals on validating dereplication results using Nuclear Magnetic Resonance (NMR) spectroscopy.
This article provides a detailed comparative analysis of the next-generation DEREPLICATOR+ algorithm against traditional dereplication methods, targeting researchers and drug development professionals.
This article provides a comprehensive guide to false discovery rate (FDR) calculation specifically for dereplication algorithms in proteomics and metabolomics.
This article provides a comprehensive guide for researchers and drug development professionals on overcoming ion suppression, a major analytical challenge in LC-MS-based dereplication.
This article provides a systematic guide for researchers and drug development professionals to troubleshoot and optimize molecular networking (MN) workflows for novel compound discovery.
This article provides a comprehensive guide to dereplication strategies essential for researchers, scientists, and drug development professionals working with complex plant extract matrices.
Mass spectrometry (MS) generates high-dimensional data crucial for biomedical discovery, but its utility is often obscured by interfering biological features, technical noise, and the 'curse of dimensionality.' This article provides...