Structure determinants defining the specificity of papain-like cysteine proteases

被引:9
|
作者
Petushkova, Anastasiia I. [1 ,2 ,3 ]
Savvateeva, Lyudmila V. [1 ]
Zamyatnin, Andrey A., Jr. [1 ,2 ,4 ]
机构
[1] Sechenov First Moscow State Med Univ, Inst Mol Med, 8-2 Trubetskaya Str, Soci 119991, Moscow, Russia
[2] Sirius Univ Sci & Technol, 1 Olimpiysky pr t, Soci 354340, Russia
[3] Lomonosov Moscow State Univ, Belozersky Inst Physico Chem Biol, 1-40 Leninskye gory, Moscow 119992, Russia
[4] Univ Surrey, Fac Hlth & Med Sci, Guildford GU2 7X, England
基金
俄罗斯科学基金会;
关键词
Papain-like cysteine protease; Cysteine cathepsin; Protease specificity; Binding site; Selective inhibitor; Protein engineering; HUMAN CATHEPSIN-K; STRUCTURE-BASED DESIGN; CRYSTAL-STRUCTURE; SUBSTRATE-SPECIFICITY; CLEAVAGE SITE; EPOXYSUCCINYL PEPTIDES; COLLAGENASE ACTIVITIES; SELECTIVE INHIBITORS; PROTEINASE-INHIBITOR; SUBSITE SPECIFICITY;
D O I
10.1016/j.csbj.2022.11.040
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Papain-like cysteine proteases are widely expressed enzymes that mostly regulate protein turnover in the acidic conditions of lysosomes. However, in the last twenty years, these proteases have been evidenced to exert specific functions within different organelles as well as outside the cell. The most studied proteases of this family are human cysteine cathepsins involved both in physiological and pathological processes. The specificity of each protease to its substrates is mostly defined by the structure of the binding cleft. Different patterns of amino acid motif in this area determine the interaction between the protease and the ligands. Moreover, this specificity can be altered under the specific media conditions and in case other proteins are present. Understanding how this network works would allow researchers to design the diag-nostic selective probes and therapeutic inhibitors. Moreover, this knowledge might serve as a key for redesigning and de novo engineering of the proteases for a wide range of applications.(c) 2022 The Authors. Published by Elsevier B.V. on behalf of Research Network of Computational and Structural Biotechnology. This is an open access article under the CC BY-NC-ND license (http://creative-commons.org/licenses/by-nc-nd/4.0/).
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页码:6552 / 6569
页数:18
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