4.5 Review

Recent advances in proteolytic stability for peptide, protein, and antibody drug discovery

期刊

EXPERT OPINION ON DRUG DISCOVERY
卷 16, 期 12, 页码 1467-1482

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TAYLOR & FRANCIS LTD
DOI: 10.1080/17460441.2021.1942837

关键词

Proteolytic stability; peptide; protein; antibody; peptidase; cleavage site; amino acid replacement

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This article focuses on improving proteolytic stability by engineering the amino acids around cleavage sites of peptides, proteins, or antibodies. By discussing different levels of peptidases, using mass spectrometry-based methods to identify cleavage sites, and providing a 3-step strategy for conducting stability experiments, it offers insights on how to enhance stability through sequence engineering.
Introduction: To discover and develop a peptide, protein, or antibody into a drug requires overcoming multiple challenges to obtain desired properties. Proteolytic stability is one of the challenges and deserves a focused investigation. Areas covered: This review concentrates on improving proteolytic stability by engineering the amino acids around the cleavage sites of a liable peptide, protein, or antibody. Peptidases are discussed on three levels including all peptidases in databases, mixtures based on organ and tissue types, and individual peptidases. The technique to identify cleavage sites is spotlighted on mass spectrometry-based approaches such as MALDI-TOF and LC-MS. For sequence engineering, the replacements that have been commonly applied with a higher chance of success are highlighted at the beginning, while the rarely used and more complicated replacements are discussed later. Although a one-size-fits-all approach does not exist to apply to different projects, this review provides a 3-step strategy for effectively and efficiently conducting the proteolytic stability experiments to achieve the eventual goal of improving the stability by engineering the molecule itself. Expert opinion: Improving the proteolytic stability is a spiraling up process sequenced by testing and engineering. There are many ways to engineer amino acids, but the choice must consider the cost and properties affected by the changes of the amino acids.

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