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Xingjian Xu

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Preprint Sep 2026

PHL: Persistent Hyperdigraph Learning for Protein-Protein Binding Affinity Prediction

Persistent homology and persistent Laplacians have become effective descriptors of large molecular binding interactions, the latter encoding multiscale geometry and spectral information beyond the harmonic subspace. Both, however, are built on undirected graphs and pairwise contracts, while the interactions that determ...

Xing-Jian Xu, Chun-Mei Wang, Jia-Hui Chen · 0 citations
Jul 2026

Persistent Manifold Learning of Protein Properties

PML is introduced, a novel computational framework that describes a binding interface as a family of multiscale manifolds, and results indicate that much of what determines binding strength is encoded in the shape of the interface itself, and that a single geometric description serves both classes without hand-tailored...

Xingjian Xu, Zhe Su, Guo-Wei Wei et al. · 0 citations

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