关键词: Next-Generation Sequencing (NGS) Phage display alternative scaffolds antibody libraries peptide

Mesh : Drug Discovery / methods Humans Peptide Library Proteins Cell Surface Display Techniques / methods Animals Drug Development / methods Antibodies Peptides / pharmacology chemistry Biotechnology / methods Artificial Intelligence

来  源:   DOI:10.1080/17460441.2024.2367023

Abstract:
UNASSIGNED: Phage display technology is a well-established versatile in vitro display technology that has been used for over 35 years to identify peptides and antibodies for use as reagents and therapeutics, as well as exploring the diversity of alternative scaffolds as another option to conventional therapeutic antibody discovery. Such successes have been responsible for spawning a range of biotechnology companies, as well as many complementary technologies devised to expedite the drug discovery process and resolve bottlenecks in the discovery workflow.
UNASSIGNED: In this perspective, the authors summarize the application of phage display for drug discovery and provide examples of protein-based drugs that have either been approved or are being developed in the clinic. The amenability of phage display to generate functional protein molecules to challenging targets and recent developments of strategies and techniques designed to harness the power of sampling diverse repertoires are highlighted.
UNASSIGNED: Phage display is now routinely combined with cutting-edge technologies to deep-mine antibody-based repertoires, peptide, or alternative scaffold libraries generating a wealth of data that can be leveraged, e.g. via artificial intelligence, to enable the potential for clinical success in the discovery and development of protein-based therapeutics.
摘要:
噬菌体展示技术是一种完善的通用体外展示技术,已使用超过35年,以鉴定用作试剂和治疗剂的肽和抗体,以及探索替代支架的多样性,作为传统治疗性抗体发现的另一种选择。这些成功催生了一系列生物技术公司,以及为加快药物发现过程和解决发现工作流程中的瓶颈而设计的许多补充技术。
从这个角度来看,作者总结了噬菌体展示在药物发现中的应用,并提供了已经批准或正在临床开发的基于蛋白质的药物的例子。强调了噬菌体展示以产生具有挑战性的靶标的功能性蛋白质分子的适宜性以及旨在利用采样多种库的能力的策略和技术的最新发展。
现在,噬菌体展示通常与尖端技术相结合,以深层挖掘基于抗体的库,肽,或者替代的脚手架库,产生大量可以利用的数据,例如,通过人工智能,在发现和开发基于蛋白质的疗法方面实现临床成功的潜力。
公众号