Author

I.-H. Lu

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Microbiology· 2 Cancer Biology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 3 Research Focus:drug response / drug discovery· 3 Assay:protein sequence· 2

Frequent Co-Authors

C.-Y. Lin· 3 shared S.-H. Chen· 3 shared T.-T. Lin· 3 shared W.-C. Cheng· 3 shared Y.-Y. Sun· 2 shared L.-Y. Yang· 1 shared Z.-R. Hsu· 1 shared

Activity by Year

2020-2022 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 19 mutual co-author links

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3 shared papersMicrobiology

C.-Y. Lin

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3 papers

Recent·Most cited

Peptide-based drug predictions for cancer therapy using deep learning

Y.-Y. Sun, T.-T. Lin, W.-C. Cheng, I.-H. Lu, S.-H. Chen, C.-Y. Lin

This paper develops AI4ACP, a web-server for predicting anticancer peptides, showing improved performance over existing predictors.

bioRxiv · Feb 1, 2022Cancer Biology

Developing an Antiviral Peptides Predictor with Generative Adversarial Network Data Augmentation

T.-T. Lin, Y.-Y. Sun, W.-C. Cheng, I.-H. Lu, S.-H. Chen, C.-Y. Lin

The paper develops a binary classifier for identifying antiviral peptides using a GAN-augmented dataset and achieves high performance on a test set.

bioRxiv · Nov 29, 2021 · PreprintMicrobiology

AI4AMP: Sequence-based antimicrobial peptides predictor using physicochemical properties-based encoding method and deep learning

T.-T. Lin, L.-Y. Yang, I.-H. Lu, W.-C. Cheng, Z.-R. Hsu, S.-H. Chen, C.-Y. Lin

AI4AMP predicts antimicrobial activity of protein sequences using physicochemical properties encoding and deep learning, outperforming existing predictors.

bioRxiv · Dec 17, 2020 · PreprintMicrobiology