Author

Mohammed AlQuraishi

2 papers indexed here

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Open access Sep 2026

Quantitative machine learning of protein interactions reveals the multiscale organization and molecular syntax of signaling networks

Cells employ dense networks of transient protein–protein interactions mediated by modular peptide-binding domains and unstructured peptidic motifs for high-fidelity information processing. How these networks physically execute computations through protein interactions governed by complex intra- and intermolecular mecha...

Julia R. Rogers, Loren P. Cardani, Neel H. Shah et al. · bioRxiv · 0 citations

Open access Aug 2026

The first OpenBind release: An open experimental structure–affinity dataset and benchmark for structure-based AI

High-quality experimental datasets that link protein–ligand structures with binding affinity data are essential for developing and evaluating structure-based machine learning methods. To help address this need, we established OpenBind as an open-science initiative to generate large-scale experimental datasets for struc...

Jochem Nelen, Omeir Khan, Etowah Adams et al. · bioRxiv · 1 citation