Author

C.-T. Kao

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

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Pharmacology & Toxicology· 1

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Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Research Focus:protein structure prediction· 1 Research Focus:software / tool· 1

Frequent Co-Authors

C.-C. Lin· 1 shared C.-L. Chao· 1 shared C.-T. Lin· 1 shared

Activity by Year

2022-2022 · peak 1/yr

Co-Author Collaboration Network

3 top collaborators · 3 mutual co-author links

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1 shared paperPharmacology & Toxicology

C.-C. Lin

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1 paper

Recent·Most cited

Fragment Linker Prediction Using Deep Encoder-Decoder Network for PROTAC Drug Design

C.-T. Kao, C.-T. Lin, C.-L. Chao, C.-C. Lin

This paper introduces AIMLinker, a deep learning model that generates PROTACs analogs with improved chemical properties by integrating structural filters and molecular docking validation.

bioRxiv · Nov 17, 2022Pharmacology & Toxicology