TOUL, Martin, Dmitri NIKITIN, Martin MAREK, Jiří DAMBORSKÝ and Zbyněk PROKOP. Extended Mechanism of the Plasminogen Activator Staphylokinase Revealed by Global Kinetic Analysis: 1000-fold Higher Catalytic Activity than That of Clinically Used Alteplase. ACS Catalysis. WASHINGTON: AMER CHEMICAL SOC, 2022, vol. 12, No 7, p. 3807-3814. ISSN 2155-5435. Available from: https://dx.doi.org/10.1021/acscatal.1c05042.
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Basic information
Original name Extended Mechanism of the Plasminogen Activator Staphylokinase Revealed by Global Kinetic Analysis: 1000-fold Higher Catalytic Activity than That of Clinically Used Alteplase
Authors TOUL, Martin (203 Czech Republic, belonging to the institution), Dmitri NIKITIN (643 Russian Federation, belonging to the institution), Martin MAREK (203 Czech Republic, belonging to the institution), Jiří DAMBORSKÝ (203 Czech Republic, guarantor, belonging to the institution) and Zbyněk PROKOP (203 Czech Republic, belonging to the institution).
Edition ACS Catalysis, WASHINGTON, AMER CHEMICAL SOC, 2022, 2155-5435.
Other information
Original language English
Type of outcome Article in a journal
Field of Study 10403 Physical chemistry
Country of publisher United States of America
Confidentiality degree is not subject to a state or trade secret
WWW URL
Impact factor Impact factor: 12.900
RIV identification code RIV/00216224:14310/22:00126168
Organization unit Faculty of Science
Doi http://dx.doi.org/10.1021/acscatal.1c05042
UT WoS 000784255800008
Keywords in English staphylokinase; plasminogen activator; kinetic mechanism; global numerical analysis; rate-limiting step; catalytic activity; thrombolytic; fibrin
Tags CF NANO, rivok
Tags International impact, Reviewed
Changed by Changed by: Mgr. Marie Šípková, DiS., učo 437722. Changed: 3/4/2023 09:28.
Abstract
The plasminogen activator staphylokinase is a fibrin-specific thrombolytic biomolecule and an attractive target for the development of effective myocardial infarction and stroke therapy. To engineer the protein rationally, a detailed understanding of the biochemical mechanism and limiting steps is essential. Conventional fitting to equations derived on the basis of simplifying approximations may be inaccurate for complex mechanisms such as that of staphylokinase. We employed a modern numerical approach of global kinetic data analysis whereby steady-state kinetics and binding affinity data sets were analyzed in parallel. Our approach provided an extended, revised understanding of the staphylokinase mechanism without simplifying approximations and determined the value of turnover number k(cat) of 117 s(-1) that was 10000-fold higher than that reported in the literature. The model further showed that the rate-limiting step of the catalytic cycle is binding of staphylokinase to plasmin molecules, which occurs via an induced-fit mechanism. The overall staphylokinase effectivity is further influenced by the formation of an inactive staphylokinase.plasminogen complex. Here, we describe a quick and simplified guide for obtaining reliable estimates of key parameters whose determination is critical to fully understand the staphylokinase catalytic functionality and define rational strategies for its engineering. Our study provides an interesting example of how a global numerical analysis of kinetic data can be used to better understand the mechanism and limiting factors of complex biochemical processes. The high catalytic activity of staphylokinase (more than 1000-fold higher than that of the clinically used drug alteplase) determined herein makes this thrombolytic agent a very attractive target for further engineering.
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EF17_043/0009632, research and development projectName: CETOCOEN Excellence
EF19_073/0016943, research and development projectName: Interní grantová agentura Masarykovy univerzity
LM2018121, research and development projectName: Výzkumná infrastruktura RECETOX (Acronym: RECETOX RI)
Investor: Ministry of Education, Youth and Sports of the CR, RECETOX RI
LM2018127, research and development projectName: Česká infrastruktura pro integrativní strukturní biologii (Acronym: CIISB)
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MUNI/H/1561/2018, interní kód MUName: Decoding the molecular principles of enzyme evolution
Investor: Masaryk University, Individual High risk/high gain projects
TN01000013, research and development projectName: Personalizovaná medicína - diagnostika a terapie
Investor: Technology Agency of the Czech Republic, Personalized Medicine – Diagnostics and Therapy
857560, interní kód MU
(CEP code: EF17_043/0009632)
Name: CETOCOEN Excellence (Acronym: CETOCOEN Excellence)
Investor: European Union, Spreading excellence and widening participation
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