Neural network for predicting potential inhibitors of HIV-1
Abstract
There has been developed and used the generative adversarial autoencoder for rational design of potential inhibitors of HIV-1 entry capable of blocking the region of the gp120 protein of the viral shell which is critical for its binding to the target cell.
About the Authors
A. Andrianov
Институт биоорганической химии НАН Беларуси
Belarus
Belarus
R. Nikalayeu
Объединенный институт проблем информатики НАН Беларуси
Belarus
Belarus
M. Shuldau
Белорусский государственный университета
Belarus
Belarus
I. Bosko
Объединенный институт проблем информатики НАН Беларуси
Belarus
Belarus
A. Tuzikov
Объединенный институт проблем информатики НАН Беларуси
Belarus
Belarus
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Review
For citations:
Andrianov A., Nikalayeu R., Shuldau M., Bosko I., Tuzikov A. Neural network for predicting potential inhibitors of HIV-1. Science and Innovations. 2021;(5):28-34. (In Russ.)
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