Protein-based lateral flow assays for COVID-19 detection.

IF 2.6 4区 生物学 Q3 BIOCHEMISTRY & MOLECULAR BIOLOGY Protein Engineering Design & Selection Pub Date : 2021-02-15 DOI:10.1093/protein/gzab010
Farbod Mahmoudinobar, Dustin Britton, Jin Kim Montclare
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引用次数: 41

Abstract

Abstract To combat the enduring and dangerous spread of COVID-19, many innovations to rapid diagnostics have been developed based on proteinprotein interactions of the SARS-CoV-2 spike and nucleocapsid proteins to increase testing accessibility. These antigen tests have most prominently been developed using the lateral flow assay (LFA) test platform which has the benefit of administration at point-of-care, delivering quick results, lower cost, and does not require skilled personnel. However, they have gained criticism for an inferior sensitivity. In the last year, much attention has been given to creating a rapid LFA test for detection of COVID-19 antigens that can address its high limit of detection while retaining the advantages of rapid antibodyantigen interaction. In this review, a summary of these proteinprotein interactions as well as the challenges, benefits, and recent improvements to protein based LFA for detection of COVID-19 are discussed.
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用于新冠肺炎检测的基于蛋白质的横向流动测定。
为了对抗新冠肺炎的持久和危险传播,基于SARS-CoV-2刺突蛋白和核衣壳蛋白的蛋白-蛋白相互作用,开发了许多快速诊断创新,以增加检测的可及性。这些抗原测试最突出的是使用侧流分析(LFA)测试平台开发的,该平台具有在护理点给药、快速得出结果、成本较低且不需要熟练人员的优点。然而,他们因敏感度低而受到批评。在过去的一年里,人们非常关注创建一种用于检测新冠肺炎抗原的快速LFA测试,该测试可以解决其高检测极限,同时保留快速抗体-抗原相互作用的优势。在这篇综述中,总结了这些蛋白质-蛋白质相互作用,以及基于蛋白质的LFA检测新冠肺炎的挑战、益处和最新改进。
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来源期刊
Protein Engineering Design & Selection
Protein Engineering Design & Selection 生物-生化与分子生物学
CiteScore
3.30
自引率
4.20%
发文量
14
审稿时长
6-12 weeks
期刊介绍: Protein Engineering, Design and Selection (PEDS) publishes high-quality research papers and review articles relevant to the engineering, design and selection of proteins for use in biotechnology and therapy, and for understanding the fundamental link between protein sequence, structure, dynamics, function, and evolution.
期刊最新文献
TIMED-Design: flexible and accessible protein sequence design with convolutional neural networks. Correction to: De novo design of a polycarbonate hydrolase. Interactive computational and experimental approaches improve the sensitivity of periplasmic binding protein-based nicotine biosensors for measurements in biofluids. Design of functional intrinsically disordered proteins. The shortest path method (SPM) webserver for computational enzyme design.
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