Author

Shili Wu

Texas A&M UniversityORCID 0000-0001-5866-1504Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Research Focus:drug response / drug discovery· 2 Approach:deep learning· 1 Approach:graph neural network· 1 Assay:protein sequence· 1

Frequent Co-Authors

Aniruddha A. DattaiD· 2 shared Madhurima MondaliD· 2 shared Subrahmanyam Arunachalam· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

3 top collaborators · 3 mutual co-author links

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2 shared papersBioinformatics

Aniruddha A. DattaORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintFeb 23, 2026

LinkDTI: Drug-Target Interactionsprediction through a Link Predictionframework on Biomedical KnowledgeGraph

Madhurima Mondal, Subrahmanyam Arunachalam, Shili Wu, Aniruddha A. Datta

LinkDTI predicts drug-target interactions using a graph-based framework on a biomedical knowledge graph, outperforming baselines and identifying new interactions.

DOI 10.64898/2026.02.21.707210

graph neural networkdrug response / drug discovery

𝕏 PostBluesky

BioinformaticsbioRxivPreprintAug 31, 2025

SAM-DTI: A Spatial Attention Model for Drug-Target Interaction Prediction

Madhurima Mondal, Shili Wu, Aniruddha A. Datta

This paper introduces SAM-DTI, a spatial attention model for predicting drug-target interactions using SMILES strings and protein sequences, achieving competitive performance against existing methods.

DOI 10.1101/2025.08.31.673317

protein sequencedeep learning

𝕏 PostBluesky