Skip To Main Content
Yingjie Qu on Muck Rack

Yingjie Qu

As seen in: Nature, MDPI
Is this you? As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work. Claim your profile

Get in touch with Yingjie

Contact Yingjie, search articles and posts on X, monitor coverage, and track replies from one place.

Learn more about Muck Rack

Actions

Share this page

Is this you?

As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
Claim your profile

Articles

Interpretable deep learning framework for mapping E3–substrate binding interfaces

|
By Dianke Li, Yuting Zhang, Yuan Liu, Zihao Zhang, Yingjie Qu, Jiajun Li, Linyang Jiang, Lihong Diao, Ziding Zhang, Lingqiang Zhang, Chun-Ping Cui, Dong Li
| Nature Verified
Abstract E3 ubiquitin ligases recognize substrates through specific interfaces. Accurate delineation of these interfaces is essential, as mutations disrupting them impair protein ubiquitination and drive cancer progression. However, available E3–substrate interface data are sparse and systematic prediction methods remain lacking.
Open in Who Shared Issue with article?

A protein sequence-based deep transfer learning framework for identifying human proteome-wide deubiquitinase-substrate interactions - Nature Communications

|
By Dianke Li, Xin Zhang, Simin Xia, Yingjie Qu, Xiangren Kong, Lingqiang Zhang, Chun-Ping Cui, Xinping Ling
| Nature Verified
Abstract Protein ubiquitination regulates a wide range of cellular processes. The degree of protein ubiquitination is determined by the delicate balance between ubiquitin ligase (E3)-mediated ubiquitination and deubiquitinase (DUB)-mediated deubiquitination. In comparison to the E3-substrate interactions, the DUB-substrate interactions (DSIs) remain insufficiently investigated.
Open in Who Shared Issue with article?

An Efficient and High-Quality Mesh Reconstruction Method with Adaptive Visibility and Dynamic Refinement

|
By Qingsong Yan, Teng Xiao, Yingjie Qu, Junxing Yang
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
Open in Who Shared View Duplicates (65) Issue with article?
See all 5 articles