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  4. Reaction Tracking and High-Throughput Screening of Active Compounds in Combinatorial Chemistry by Tandem Mass Spectrometry Molecular Networking
 
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Reaction Tracking and High-Throughput Screening of Active Compounds in Combinatorial Chemistry by Tandem Mass Spectrometry Molecular Networking

Journal
Analytical Chemistry
Journal Volume
93
Journal Issue
4
Pages
2456-2463
Date Issued
2021
Author(s)
Chung H.-H
Kao C.-Y
Wang T.-S.A  
Chu J  
Pei J
CHENG-CHIH HSU  
DOI
10.1021/acs.analchem.0c04481
URI
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85100195975&doi=10.1021%2facs.analchem.0c04481&partnerID=40&md5=49ea606fc8ad2b88233af5f22aae7397
https://scholars.lib.ntu.edu.tw/handle/123456789/575708
Abstract
Combinatorial synthesis has been widely used as an efficient strategy to screen for active compounds. Mass spectrometry is the method of choice in the identification of hits resulting from high-throughput screenings due to its high sensitivity, specificity, and speed. However, manual data processing of mass spectrometry data, especially for structurally diverse products in combinatorial chemistry, is extremely time-consuming and one of the bottlenecks in this process. In this study, we demonstrated the effectiveness of a tandem mass spectrometry molecular networking-based strategy for product identification, reaction dynamics monitoring, and active compound targeting in combinatorial synthesis. Molecular networking connects compounds with similar tandem mass spectra into a cluster and has been widely used in natural products analysis. We show that both the expected and side products can be readily characterized using molecular networking based on their mass spectrometry fragmentation patterns. Additionally, time-dependent molecular networking was integrated to track reaction dynamics to determine the optimal reaction time to maximize target product yields. We also present a proof-of-concept experiment that successfully identified and isolated active molecules from a dynamic combinatorial library. These results demonstrated the potential of using molecular networking for identifying, tracking, and high-throughput screening of active compounds in combinatorial synthesis. ? 2021 The Authors. Published by American Chemical Society.
Subjects
Biochips; Condensation reactions; Data handling; Mass spectrometry; Combinatorial chemistry; Combinatorial synthesis; Dynamic combinatorial library; Fragmentation patterns; High throughput screening; Mass spectrometry data; Product identification; Tandem mass spectrometry; Drug products
SDGs

[SDGs]SDG3

Type
journal article

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