Skip To Main Content
Yanying Li on Muck Rack

Yanying Li

As seen in: Color Research & Application, Nature, Wiley Online Library, BMJ Open Diabetes Research & Care, Frontiers, MDPI, ACS Publications, Royal Society of Chemistry, Canadian Journal of Infectious Diseases & Medical Microbiology, Dove Medical Press and
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 Yanying

Contact Yanying, 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

Development of a risk stratification tool for rapidly progressive diabetic retinopathy in type 2 diabetes

|
By Aiping Gu, Zhichao Yan, Yi Wu, Yanying Li, Renlong Liang, Xiaodi Tang, Mengke Li
| Frontiers
Abstract Background: The progression of rapidly progressive diabetic retinopathy (PDR) in type 2 diabetes mellitus (T2DM) is characterized by substantial inter-individual variability.
Open in Who Shared Issue with article?

Molecular mechanisms of native ligand selectivity in catecholamine G protein-coupled receptors

|
By Nour Aldin Kahlous, Maiju K. Rinne, Xin Zhang, Yanying Li, Yue Chen, Kaixuan Gao, Christina A Bergqvist, Yi Wang, Alejandro Díaz-Holguín, Tore Bengtsson, Volker M Lauschke, Jyrki P. Kukkonen, Lucie Delemotte, Shane Wright, Xiangyu Liu, Dan Larhammar, Jens Carlsson, Aikaterini Motso, Hongda Sheng, Philip Ullmann
| Nature Verified
Abstract Activation of G protein-coupled receptors (GPCRs) by extracellular ligands is crucial for cellular communication and modulates numerous physiological processes. Despite sharing highly similar orthosteric binding sites, catecholamine GPCRs exhibit exquisite selectivity for their native agonists, even among nearly identical chemical messengers. However, the molecular basis and evolution of receptor selectivity remain poorly understood.
Open in Who Shared Issue with article?

Machine-learning for age-related macular degeneration using multimodal fundus data

|
By Mengke Li, Aiping Gu, Hongyang Li, Yanying Li, Renlong Liang, Ting Su, Yi Wu
| Frontiers
Abstract Objective: To develop an integrated model that combines multimodal fundus image features for accurately predicting the individualized risk of progression from early to late stages of age-related macular degeneration (AMD). Methods: A retrospective analysis was conducted on the data of 324 patients with AMD. The patients were randomly divided into a training set (n = 227) and a validation set (n = 97) at a ratio of 7:3.
Open in Who Shared Issue with article?
See all 38 licensed articles (41 Total)