Author

Yueming Yin

Nanyang Technological UniversityORCID 0000-0002-9060-3248Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioengineering· 1 Bioinformatics· 1

Signature Assays, Organisms & Methods

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

Frequent Co-Authors

Adams Wai‐Kin KongiD· 1 shared Anjali Lalitha Peddibhotla· 1 shared Farah Najwa Nabila Mohd Hatta· 1 shared Hao HaniD· 1 shared Joseph B. DeGrandchampiD· 1 shared Jun Hong Koh· 1 shared Kartik JhawariD· 1 shared Lipo WangiD· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperBioinformatics

Adams Wai‐Kin KongORCID

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2 papers

Recent·Most cited

Morphology-Guided Deep Learning for Nanoparticle Agglomeration Diagnostic Assays

Kartik Jhawar, Xiao‐Liu Chu, Joseph B. DeGrandchamp, Yueming Yin, Anjali Lalitha Peddibhotla, Shabina Banu, Farah Najwa Nabila Mohd Hatta, Yaoli Wang, Péter Török, Lipo Wang

This paper presents a morphology-guided deep learning platform for nanoparticle agglomeration assays, achieving high sensitivity and recall for DNA and SARS-CoV-2 RNA detection.

Scientific Reports · Mar 31, 2026Peer-reviewedBioengineering

ProAffinity-GNN: A Novel Approach to Structure-based Protein-Protein Binding Affinity Prediction via a Curated Dataset and Graph Neural Networks

Zhiyuan Zhou, Yueming Yin, Hao Han, Yiping Jia, Jun Hong Koh, Adams Wai‐Kin Kong, Yuguang Mu

This paper introduces ProAffinity-GNN, a deep learning framework for predicting protein-protein binding affinities using graph neural networks and a curated dataset of protein complexes with experimentally determined affinities.

Journal of Chemical Information and Modeling · Nov 19, 2024Peer-reviewedBioinformatics