BACE1 Candidates Inhibitors for Alzheimer's Drug Discovery Using the Transformer-Only Decoder

Our research introduces a groundbreaking approach for creating new molecular structures targeting Beta-secretase 1 (BACE1) in Alzheimer's disease treatment. By using a deep learning framework with a pre-trained Transformer model, fine-tuned on a Selfies BACE1 dataset, we enable accurate and meaningful generation of potential therapeutic compounds. This innovative approach streamlines drug discovery and offers a scalable solution for addressing various therapeutic targets.

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Publication Details

Published
2024-10-19
DOI
https://doi.org/10.1109/niles63360.2024.10753224
Primary Topic
Computational Drug Discovery Methods
Type
article
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article

BACE1 Candidates Inhibitors for Alzheimer's Drug Discovery Using the Transformer-Only Decoder

Nora El-Rashidy, Mostafa Abdelaziz Elhashmy, Mostafa Hamdalla
Computational Drug Discovery Methods
article

BACE1 Candidates Inhibitors for Alzheimer's Drug Discovery Using the Transformer-Only Decoder

Nora El-Rashidy, Mostafa Abdelaziz Elhashmy, Mostafa Hamdalla
article en

Abstract

Our research introduces a groundbreaking approach for creating new molecular structures targeting Beta-secretase 1 (BACE1) in Alzheimer's disease treatment. By using a deep learning framework with a pre-trained Transformer model, fine-tuned on a Selfies BACE1 dataset, we enable accurate and meaningful generation of potential therapeutic compounds. This innovative approach streamlines drug discovery and offers a scalable solution for addressing various therapeutic targets.

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Openalex Percentile: Top 75%
Computational Drug Discovery Methods
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BACE1 Candidates Inhibitors for Alzheimer's Drug Discovery Using the Transformer-Only Decoder — Nora El-Rashidy, Mostafa Abdelaziz Elhashmy, et al. · (2024) | TGRS Research Map | TGRS