Author

Bin Tan

Rutgers, The State University of New Jersey

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Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Approach:contrastive learning· 1 Research Focus:drug response / drug discovery· 1 Assay:protein structure· 1

Frequent Co-Authors

Achal Ajeet RayakariD· 1 shared Alicia Qian Ler Tan· 1 shared Chaitanya Kumar JaladankiiD· 1 shared Hao Ming FaniD· 1 shared Hwee Kuan LeeiD· 1 shared Jiancheng HuiD· 1 shared Jun WangiD· 1 shared Junjun CheniD· 1 shared

Activity by Year

2025-2025 · peak 1/yr

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10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

Achal Ajeet RayakarORCID

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1 paper

Recent·Most cited

A hybrid machine learning framework leveraging biophysicochemical insights for scalable discovery of protein-ligand interactions

Achal Ajeet Rayakar, Chaitanya Kumar Jaladanki, Qunxiang Ong, Bin Tan, Junjun Chen, Alicia Qian Ler Tan, Ler Ting Rachel Lim, Navita Kohaal, Yu Chen, Jun Wang, Weiping Han, Jiancheng Hu, Hwee Kuan Lee, Hao Ming Fan

The paper introduces a hybrid machine learning framework that improves protein-ligand interaction prediction by combining biophysicochemical insights with large-scale representations, achieving faster and more accurate virtual screening.

bioRxiv · Mar 16, 2025 · PreprintBioinformatics