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Hassan Zohrevand

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Open access Sep 2026

Lightweight 2D-Convolutional Neural Network for Drug-Kinase Binding Affinity Prediction with Minimal Encoded Representations

Background Drug–kinase binding affinity (DKBA) prediction plays a crucial role in prioritizing compounds and reducing the time and financial resources required for drug discovery. However, many existing deep learning models rely on complex molecular representations, such as molecular graphs or pretrained embeddings, wh...

Hassan Zohrevand, Saeid Afshar, Mohsen Ahmadi · 0 citations
Open access Aug 2026

An integrated systems biology and machine learning framework for identifying potential biomarkers and pathways in autism spectrum disorder

Findings indicate that CASP4 and TLR8, together with their associated regulatory miRNAs, may represent promising biomarkers and potential therapeutic targets for future ASD research and contribute to a better understanding of the pathophysiological mechanisms underlying ASD.

Sara Hosseinpoor, H. Zali, Hassan Zohrevand et al. · 0 citations

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