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Computational design of an enzyme in an antibody framework in a supercomputer environment

The meeting of the seminar

«Supercomputer technologies

in science, education and industry»

Chairman of the organizing committee
В.А. Садовничий V.A. Sadovnichy
academician, rector of Lomonosov Moscow State University

Co-Chairs of the organizing committee
Вл.В. Воеводин Vl.V. Voevodin
Corr. RAS, Director of Research Computing Center of Moscow State University
И.А. Соколов I.A. Sokolov
academician, dean of the faculty of Computational Mathematics and Cybernetics of Lomonosov Moscow State University

Scientific Secretary of the seminar
  A.A. Khudoleeva
Research Computing Center of Moscow State University

 

The seminar was organized on the basis of the Scientific and Educational Center «Supercomputer Technologies». The reports cover all aspects of the use of supercomputers, parallel computing systems and distributed data processing methods for solving large computational problems. The seminar has a pronounced interdisciplinary nature, however, the various nuances of using supercomputer technologies are of interest to researchers from various fields.

The seminar is supported by the Moscow Center of Fundamental and Applied Mathematics.

 


PROGRAM
18:00 (GMT +3)
  A.V. Golovin
Faculty of Bioengineering and Bioinformatics, Moscow State University
  A.S. Zlobin
Faculty of Bioengineering and Bioinformatics, Moscow State University
  Yu.D. Belyaeva
Faculty of Bioengineering and Bioinformatics, Moscow State University
  V.D. Maslova
Faculty of Bioengineering and Bioinformatics, Moscow State University

Computational design of an enzyme in an antibody framework in a supercomputer environment

The goal of the project is to develop an antibody capable of hydrolyzing the RBD domain of the S-protein. Such a task will require significant computational resources to select candidate variants from machine learning-based design results. If the project is successful, the developed approach could be applied against new strains of the SARS-Cov-2 virus as well as against other dangerous viruses. We have identified locations in the RBD domain of the spike protein of the coronovirus where making a cut in the chains will result in a significant change in the structure of the RBD domain and thus can significantly reduce the affinity of the S-protein to the ACE-2 receptor. We use information on all known proteolytic active center architectures and all known antibody structures to design the abzyme. Mass scanning of variants by modern rapid reaction modeling techniques allowed us to rank the constructs and select several variants for experimental validation. The results of the present project will make a significant contribution to the development of the promising field of enzyme engineering and, if successfully implemented, will offer a catalytic antibody in demand for infection control.

 


 The seminar will be held in the form of a webinar on the Zoom platform.

To participate in the webinar, we ask you to enter your data in the Yandex form:

https://forms.yandex.ru/u/645cb773eb61466acb04520e/

 

A link to the Zoom conference will subsequently be sent to your email address.