Nurit Haspel

This study investigates how mutations in Rac2 alter its conformational dynamics and signaling, revealing distinct inactive and overactive states that impact cellular function.

HandShake predicts partner-specific protein-protein binding sites using only sequence data, outperforming existing methods and revealing redundancy inflation in benchmark metrics.

This study uses Topological Data Analysis to evaluate RRTMC, a computational method for exploring protein conformational spaces, finding that its intermediates align with experimental data.

FDJD detects RNA-Seq fusion transcripts using Jaccard distance with high accuracy and efficiency compared to existing methods.

This work reduces high-dimensional protein conformational data using dimensionality reduction and topological analysis to identify distinct conformations and energy barriers.

This paper integrates rigidity analysis into a hybrid MC-RRT* algorithm to improve the efficiency and accuracy of exploring protein conformational pathways.

The paper introduces Patch-DCA, a method that improves protein interface prediction by integrating sequential, co-evolution, structural, and functional information, achieving significant performance gains over existing methods.