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Replaced article(s) found for cs.DC. https://arxiv.org/list/cs.DC/new
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- Keep Your Friends Close: Leveraging Affinity Groups to Accelerate AI Inference Workflows
Thiago Garrett, Weijia Song, Roman Vitenberg, Ken Birman

The Lipid Interactome: An interactive and open access platform for exploring cellular lipid-protein interactomes
Gaelen Guzman, Andr\'e Nadler, Frank Stein, Jeremy M. Baskin, Carsten Schultz, Fikadu Tafesse
https://arxiv.org/abs/2507.23101

The Lipid Interactome: An interactive and open access platform for exploring cellular lipid-protein interactomes
Lipid-protein interactions play essential roles in cellular signaling and membrane dynamics, yet their systematic characterization has long been hindered by the inherent biochemical properties of lipids. Recent advances in functionalized lipid probes -- equipped with photoactivatable crosslinkers, affinity handles, and photocleavable protecting groups -- have enabled proteomics-based identification of lipid interacting proteins with unprecedented specificity and resolution. Despite the growing …

A Graph Completion Method that Jointly Predicts Geometry and Topology Enables Effective Molecule Assembly
Rohan V. Koodli, Alexander S. Powers, Ayush Pandit, Chiho Im, Ron O. Dror
https://arxiv.org/abs/2505.21833

A Graph Completion Method that Jointly Predicts Geometry and Topology Enables Effective Molecule Assembly
A common starting point for drug design is to find small chemical groups or "fragments" that form interactions with distinct subregions in a protein binding pocket. The subsequent challenge is to assemble these fragments into a molecule that has high affinity to the protein, by adding chemical bonds between atoms in different fragments. This "molecule assembly" task is particularly challenging because, initially, fragment positions are known only approximately. Prior methods for spatial graph c…