DeepB3P: A transformer-based model for identifying blood-brain barrier penetrating peptides with data augmentation using feedback GAN-Reference-Cited by-同舟云学术

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DeepB3P: A transformer-based model for identifying blood-brain barrier penetrating peptides with data augmentation using feedback GAN

Published:2024-08 Issue: Volume: Page:
ISSN:2090-1232
Container-title:Journal of Advanced Research
language:en
Short-container-title:Journal of Advanced Research

Author:

Tang Qiang,Chen Wei

Publisher

Elsevier BV

Reference41 articles.

1. A merged molecular representation deep learning method for blood-brain barrier permeability prediction;Tang;Brief Bioinform,2022

2. Drug development for CNS disorders: strategies for balancing risk and reducing attrition;Pangalos;Nat Rev Drug Discov,2007

3. Brain penetrating peptides and peptide-drug conjugates to overcome the blood-brain barrier and target CNS diseases;Zhou;Wiley Interdiscip Rev Nanomed Nanobiotechnol,2021

4. Modern methods for delivery of drugs across the blood-brain barrier;Chen;Adv Drug Deliv Rev,2012

5. Shuttle-mediated drug delivery to the brain;Malakoutikhah;Angew Chem Int Ed Engl,2011

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