Author

Isuru S. Herath

Merck & Co., Inc., Rahway, NJ, USA (United States)ORCID 0009-0001-1256-2591Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

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Research Focus:benchmarking· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Approach:graph neural network· 1 Research Focus:perturbation response prediction· 1

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Guadalupe GonzaleziD· 1 shared Kirill VeselkoviD· 1 shared Marinka ŽitnikiD· 1 shared Michael M. BronsteiniD· 1 shared Xiang LiniD· 1 shared

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2025-2025 · peak 1/yr

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5 top collaborators · 10 mutual co-author links

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1 shared paperBioinformatics

Guadalupe GonzalezORCID

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1 paper

Recent·Most cited

BioinformaticsNature Biomedical EngineeringPeer-reviewedSep 9, 2025

Combinatorial prediction of therapeutic perturbations using causally-inspired neural networks

Guadalupe Gonzalez, Xiang Lin, Isuru S. Herath…·Marinka Žitnik

PDGrapher predicts combinatorial therapeutic targets to reverse disease phenotypes using a causally inspired GNN, outperforming existing methods in cell line and genetic perturbation datasets.

35 citationstop 1%

graph neural networkdeep learning

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