3 papers
cs.LG2026
Co-Evolution-Based Metal-Binding Residue Prediction with Graph Neural Networks
Sayedmohammadreza Rastegari, Sina Tabakhi, Xianyuan Liu +3
Understanding protein-metal interactions is central to structural biology, with metal ions being vital for catalysis, stability, and signal transduction. Predicting metal-binding r…
cs.RO2026
Grasp the Graph (GtG) 2.0: Ensemble of Graph Neural Networks for High-Precision Grasp Pose Detection in Clutter
Ali Rashidi Moghadam, Sayedmohammadreza Rastegari, Mehdi Tale Masouleh +1
Grasp pose detection in cluttered, real-world environments remains a significant challenge due to noisy and incomplete sensory data combined with complex object geometries. This pa…
q-bio.QM2025
Interpretable Multimodal Learning for Tumor Protein-Metal Binding: Progress, Challenges, and Perspectives
Xiaokun Liu, Sayedmohammadreza Rastegari, Yijun Huang +12
In cancer therapeutics, protein-metal binding mechanisms critically govern the pharmacokinetics and targeting efficacy of drugs, thereby fundamentally shaping the rational design o…