Computer-aided engineering of staphylokinase toward enhanced affinity and selectivity for plasmin

Dmitri Nikitin, Jan Mican, Martin Toul, David Bednar, Michaela Peskova, Patricia Kittova, Sandra Thalerova, Jan Vitecek, Jiri Damborsky, Robert Mikulik, Sarel J. Fleishman, Zbynek Prokop, Martin Marek

Research output: Contribution to journalArticlepeer-review

Abstract

Cardio- and cerebrovascular diseases are leading causes of death and disability, resulting in one of the highest socio-economic burdens of any disease type. The discovery of bacterial and human plasminogen activators and their use as thrombolytic drugs have revolutionized treatment of these pathologies. Fibrin-specific agents have an advantage over non-specific factors because of lower rates of deleterious side effects. Specifically, staphylokinase (SAK) is a pharmacologically attractive indirect plasminogen activator protein of bacterial origin that forms stoichiometric noncovalent complexes with plasmin, promoting the conversion of plasminogen into plasmin. Here we report a computer-assisted re-design of the molecular surface of SAK to increase its affinity for plasmin. A set of computationally designed SAK mutants was produced recombinantly and biochemically characterized. Screening revealed a pharmacologically interesting SAK mutant with ∼7-fold enhanced affinity toward plasmin, ∼10-fold improved plasmin selectivity and moderately higher plasmin-generating efficiency in vitro. Collectively, the results obtained provide a framework for SAK engineering using computational affinity-design that could pave the way to next-generation of effective, highly selective, and less toxic thrombolytics.

Original languageEnglish
Pages (from-to)1366-1377
Number of pages12
JournalComputational and Structural Biotechnology Journal
Volume20
DOIs
StatePublished - Jan 2022

All Science Journal Classification (ASJC) codes

  • Genetics
  • Biophysics
  • Structural Biology
  • Biochemistry
  • Biotechnology
  • Computer Science Applications

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