Original Publication Date: 1 August, 2017
Publication / Source: Bioanalysis 9(16)
Authors: Dhurjad PS, Marothu VK & Rathod R
Metabolite identification is a crucial part of the drug discovery process. LC–MS/MS-based metabolite identification has gained widespread use, but the data acquired by the LC–MS/MS instrument is complex, and thus the interpretation of data becomes troublesome. Fortunately, advancements in data mining techniques have simplified the process of data interpretation with improved mass accuracy and provide a potentially selective, sensitive, accurate and comprehensive way for metabolite identification. In this review, we have discussed
Click here to view the full article in Bioanalysis.