How to explore and exploit blood coagulation mechanisms using an in silico approach

According to the materials of report at the meeting of the Presidium of the NAS of Ukraine, October 30, 2024

Authors

DOI:

https://doi.org/10.15407/visn2024.12.088

Keywords:

blood circulation, thrombosis, bleeding, fibrin, peptides, prothrombin, molecular docking.

Abstract

This study explores the use of in silico methods for developing novel therapeutic compounds, showcasing the design of a prototype antithrombotic drug based on peptide mimetics from the superspiral region of the fibrin(ogen) molecule. Functional sites on the molecule were identified in silico, leading to the selection of peptide sequences that were subsequently synthesized and tested. In vitro studies confirmed the peptides’ potent inhibitory effects on fibrin polymerization. Additionally, docking and molecular dynamics simulations were employed to model derivatives of the N-terminal fragment of staphylocoagulase, known for its capacity to non-enzymatically activate prothrombin. The continuation of these approaches holds significant potential for the development of both novel antithrombotic agents and unique blood coagulation activators for rapid hemorrhage control.

References

Jumper J., Evans R., Pritzel A. et al. Highly accurate protein structure prediction with AlphaFold. Nature. 2021. 596: 583—589. https://doi.org/10.1038/s41586-021-03819-2

Weisel J.W., Litvinov R.I. Fibrin Formation, Structure and Properties. In: Parry D., Squire J. (eds) Fibrous Proteins: Structures and Mechanisms. Subcellular Biochemistry. Vol. 82. Springer, Cham, 2017. https://doi.org/10.1007/978-3-319-49674-0_13

Tubiana J., Schneidman-Duhovny D., Wolfson H.J. ScanNet: an interpretable geometric deep learning model for structure-based protein binding site prediction. Nat. Methods. 2022. 19: 730—739. https://doi.org/10.1038/s41592-022-01490-7

Lugovskoy E.V., Gritsenko P.G., Kolesnikova I.N., Lugovskaya N.E., Komisarenko S.V. A neoantigenic determinant in coiled coil region of human fibrin beta-chain. Thromb. Res. 2009. 123(5): 765—770. https://doi.org/10.1016/j.thromres.2008.08.024

Yang Z., Mochalkin I., Doolittle R.F. A model of fibrin formation based on crystal structures of fibrinogen and fibrin fragments complexed with synthetic peptides. Proc. Nat. Acad. Sci. USA. 2000. 97(26): 14156—14161. https://doi.org/10.1073/pnas.97.26.1415

Komisarenko S.V., Lugovskoi E.V., Nikolaev V.G. et al. Combined haemostatic agent for the prevention of blood loss in particular at hemophilia. Inventory Patent. 2017. 19. 114356.

Friedrich R., Panizzi P., Fuentes-Prior P. et al. Staphylocoagulase is a prototype for the mechanism of cofactor-induced zymogen activation. Nature. 2003. 425: 535—539. https://doi.org/10.1038/nature01962

Published

2024-12-19

How to Cite

Hrabovskyi, O. O. . (2024). How to explore and exploit blood coagulation mechanisms using an in silico approach: According to the materials of report at the meeting of the Presidium of the NAS of Ukraine, October 30, 2024. Visnik Nacional Noi Academii Nauk Ukrai Ni, (12), 88–93. https://doi.org/10.15407/visn2024.12.088