Please use this identifier to cite or link to this item:
https://elib.bsu.by/handle/123456789/306211Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Gonchar, Anna V. | |
| dc.contributor.author | Tuzikov, Alexander V. | |
| dc.contributor.author | Furs, Konstantin V. | |
| dc.contributor.author | Andrianov, Alexander M. | |
| dc.date.accessioned | 2023-12-12T12:42:11Z | - |
| dc.date.available | 2023-12-12T12:42:11Z | - |
| dc.date.issued | 2023 | |
| dc.identifier.citation | Pattern Recognition and Information Processing (PRIP’2023). Artificial Universe: New Horisont : Proceedings of the 16 th International Conference, Belarus, Minsk, October 17–19, 2023 / Belarusian State University : eds. A. Nedzved, A. Belotserkovsky. – Minsk : BSU, 2023. – Pp. 114-117. | |
| dc.identifier.isbn | 978-985-881-522-6 | |
| dc.identifier.uri | https://elib.bsu.by/handle/123456789/306211 | - |
| dc.description.abstract | Semi-supervised generative adversarial neural network trained on molecular graph embeddings produced by Junction Tree Variational Autoencoder was implemented and applied for de novo design of new potential inhibitors of Mycobacterium tuberculosis protein KasA | |
| dc.description.sponsorship | This work was supported by grants from the Belarusian Republican Foundation for Fundamental Research (F23-007) and the Consortium and the Drug Resistant Tuberculosis Portal Program (https://tbportals.niaid.nih.gov). | |
| dc.language.iso | en | |
| dc.publisher | Minsk : BSU | |
| dc.rights | info:eu-repo/semantics/openAccess | |
| dc.subject | ЭБ БГУ::ЕСТЕСТВЕННЫЕ И ТОЧНЫЕ НАУКИ::Кибернетика | |
| dc.subject | ЭБ БГУ::ЕСТЕСТВЕННЫЕ И ТОЧНЫЕ НАУКИ::Математика | |
| dc.title | Application of semi-supervised GAN in combination with JT-VAE for generation of small molecules with high binding affinity to the KasA enzyme of Mycobacterium tuberculosis | |
| dc.type | conference paper | |
| Appears in Collections: | 2023. Pattern Recognition and Information Processing (PRIP’2023). Artificial Intelliverse: Expanding Horizons | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 114-117.pdf | 368,83 kB | Adobe PDF | View/Open |
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