3 citations · 4 across the 5 of their papers we have counts for
6 papers
PSLL: Persistent Sheaf Laplacian Learning for Protein-Ligand Binding Affinity Prediction
Mushal Zia, Benjamin Jones, Guo-Wei Wei
Accurate prediction of protein-ligand binding affinity remains a central challenge in computational drug discovery due to the complex interplay among molecular geometry, physicoche…
PETLS: PErsistent Topological Laplacian Software
Benjamin Jones, Guo-Wei Wei
Persistent topological Laplacians are operators that provide persistent Betti numbers and additional multiscale geometric information through the eigenvalues of the persistent topo…
A Khovanov Laplacian and Khovanov Dirac for Knots and Links
Benjamin Jones, Guo-Wei Wei
Khovanov homology has been the subject of much study in knot theory and low dimensional topology since 2000. This work introduces a Khovanov Laplacian and a Khovanov Dirac to study…
Persistent Directed Flag Laplacian (PDFL)-Based Machine Learning for Protein-Ligand Binding Affinity Prediction
Mushal Zia, Benjamin Jones, Hongsong Feng +1
Directionality in molecular and biomolecular networks plays a significant role in the accurate represention of the complex, dynamic, and asymmetrical nature of interactions present…
Drug Resistance Predictions Based on a Directed Flag Transformer
Dong Chen, Gengzhuo Liu, Hongyan Du +6
The continuous evolution of the SARS-CoV-2 virus poses a significant challenge to global public health. Of particular concern is the potential resistance to the widely prescribed d…
Persistent Directed Flag Laplacian
Benjamin Jones, Guowei Wei
Topological data analysis (TDA) has had enormous success in science and engineering in the past decade. Persistent topological Laplacians (PTLs) overcome some limitations of persis…