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Posts
How Tsinghua’s Chemistry Wizards Are “Building” Proteins Like LEGO Blocks
Published:
🎯 The Big Reveal Up Front: Chemistry Just Leveled Up!
Professor Liu Lei hosted a seminar on de novo chemical protein synthesis at City University of Hong Kong. His lab at Tsinghua University has developed a comprehensive methodological framework that transcends biological constraints, enabling synthesis of custom-designed proteins up to 3,000 amino acids—covering 99.7% of all natural proteins. Three key innovations form this framework: (1) peptide hydrazide ligation for convergent synthesis without protecting groups; (2) reversible auxiliary strategies using charged or carbohydrate tags to prevent aggregation during synthesis; and (3) artificial ligase enzymes that catalyze protein assembly in denaturing conditions. These techniques unlock “beyond-biology” applications including mirror-image D-proteins, site-specifically modified therapeutic targets, and rapid drug candidate synthesis. This post explores the chemistry breakthroughs, pharmaceutical implications, and synergies with AI-driven drug discovery that make chemical protein synthesis a game-changer for biomedical research.
生物醫學系研討會：看大神如何把微流控變成「懶人科技」
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Summary:
Professor David Juncker from McGill University presented an inspiring seminar on minimalist microfluidics technologies. Three groundbreaking innovations were presented: (1) Capillary microfluidics - using natural capillary action instead of pumps for fluid manipulation, enabling battery-free diagnostics in remote areas; (2) LCD 3D printing - democratizing microfluidic chip fabrication with consumer-grade 3D printers (25-50μm resolution), reducing costs from thousands to tens of dollars and production time from days to hours; (3) Brownian motion detector - leveraging molecular thermal motion for ultra-sensitive, zero-energy biosensing. The talk emphasizes “elegant simplicity” in engineering design - harnessing natural physical phenomena rather than fighting them, making advanced diagnostics accessible worldwide.
portfolio
Portfolio item number 1
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Portfolio item number 2
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Short description of portfolio item number 2
publications
A New Era Beyond Animal Testing
Published in Zenodo, 2025
A comprehensive report exploring alternatives to animal testing in biomedical engineering research, emphasizing emerging technologies and ethical considerations.
Recommended citation: CHENG, Wan Kiu Winkey, LAI, Hui Man, PAN, Zixi, & SUEN, Cheuk Nam Anson. (2025). "A New Era Beyond Animal Testing." Zenodo. https://doi.org/10.5281/zenodo.17207753
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Intranasal Delivery of Insulin Therapeutics for Alzheimer’s Disease
Published in Zenodo, 2025
A comprehensive review examining intranasal insulin delivery as a promising therapeutic approach for Alzheimer disease, exploring mechanisms, clinical evidence, and biomedical engineering considerations.
Recommended citation: CHENG, Wan Kiu Winkey. (2025). "Intranasal Delivery of Insulin Therapeutics for Alzheimer Disease." Zenodo. https://doi.org/10.5281/zenodo.17591947
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The Species Gap Between Animal Testing
Published in Zenodo, 2025
Examining the limitations of animal models in biomedical research and exploring modern computational and in vitro alternatives that offer more human-relevant outcomes while addressing ethical concerns.
Recommended citation: CHENG, Wan Kiu Winkey. (2025). "The Species Gap Between Animal Testing." Zenodo. https://doi.org/10.5281/zenodo.17702477
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Intranasal Delivery of siRNA Medications for Alzheimer’s Disease
Published in Zenodo, 2025
A comprehensive review and presentation examining intranasal siRNA delivery as an innovative gene-silencing therapeutic strategy for Alzheimer disease, featuring nanoparticle carrier systems and AI-supported therapy design.
Recommended citation: CHENG, Wan Kiu Winkey, YANG, Yiqing, & CHOI, Wing Hei. (2025). "Intranasal Delivery of siRNA medications for Alzheimer Disease." Zenodo. https://doi.org/10.5281/zenodo.17702255
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Artificial Neural Networks for Early Diagnosis of Alzheimer’s Disease
Published in In Progress, 2026
Developing computational models using artificial neural networks to improve early detection of Alzheimer disease biomarkers from neuroimaging data.
Recommended citation: Lu, Qihong*, & CHENG, Wan Kiu Winkey. (2026). "Artificial Neural Networks for Early Diagnosis of Alzheimer Disease." In Progress.
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talks
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.