2 papers
q-bio.BM2025
RAPID-Net: Accurate Pocket Identification for Binding-Site-Agnostic Docking
Yaroslav Balytskyi, Inna Hubenko, Alina Balytska +1
Accurate identification of druggable pockets and their features is essential for structure-based drug design and effective downstream docking. Here, we present RAPID-Net, a deep le…
q-bio.QM2023
Enhancing Open-World Bacterial Raman Spectra Identification by Feature Regularization for Improved Resilience against Unknown Classes
Yaroslav Balytskyi, Nataliia Kalashnyk, Inna Hubenko +2
The combination of Deep Learning techniques and Raman spectroscopy shows great potential offering precise and prompt identification of pathogenic bacteria in clinical settings. How…