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Review Articles

Protease propeptide structures, mechanisms of activation, and functions

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Pages 111-165 | Received 24 Dec 2019, Accepted 10 Mar 2020, Published online: 14 Apr 2020
 

Abstract

Proteases are a diverse group of hydrolytic enzymes, ranging from single-domain catalytic molecules to sophisticated multi-functional macromolecules. Human proteases are divided into five mechanistic classes: aspartate, cysteine, metallo, serine and threonine proteases, based on the catalytic mechanism of hydrolysis. As a protective mechanism against uncontrolled proteolysis, proteases are often produced and secreted as inactive precursors, called zymogens, containing inhibitory N-terminal propeptides. Protease propeptide structures vary considerably in length, ranging from dipeptides and propeptides of about 10 amino acids to complex multifunctional prodomains with hundreds of residues. Interestingly, sequence analysis of the different protease domains has demonstrated that propeptide sequences present higher heterogeneity compared with their catalytic domains. Therefore, we suggest that protease inhibition targeting propeptides might be more specific and have less off-target effects than classical inhibitors. The roles of propeptides, besides keeping protease latency, include correct folding of proteases, compartmentalization, liganding, and functional modulation. Changes in the propeptide sequence, thus, have a tremendous impact on the cognate enzymes. Small modifications of the propeptide sequences modulate the activity of the enzymes, which may be useful as a therapeutic strategy. This review provides an overview of known human proteases, with a focus on the role of their propeptides. We review propeptide functions, activation mechanisms, and possible therapeutic applications.

Disclosure statement

The authors declare no conflict of interest.

Additional information

Funding

The present work was funded by the Geconcerteerde OnderzoeksActies and C1 funding of KU Leuven (C16/17/010), the Charcot Foundation of Belgium and the Research Foundation of Flanders (FWO-Vlaanderen). Lise Boon, Estefania Ugarte-Berzal, and Jennifer Vandooren are supported by FWO fellowships with the following application numbers, respectively: 1109019N, 12I0817N, and 12Z0920N.

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