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CytoSIP: an annotated structural atlas for interactions involving cytokines or cytokine receptors.

Authors :
Wang, Lu
Sun, Fang
Li, Qianying
Ma, Haojie
Zhong, Juanhong
Zhang, Huihui
Cheng, Siyi
Wu, Hao
Zhao, Yanmin
Wang, Nasui
Xie, Zhongqiu
Zhao, Mingyi
Zhu, Ping
Zheng, Heping
Source :
Communications Biology; 5/24/2024, Vol. 7 Issue 1, p1-10, 10p
Publication Year :
2024

Abstract

Therapeutic agents targeting cytokine-cytokine receptor (CK-CKR) interactions lead to the disruption in cellular signaling and are effective in treating many diseases including tumors. However, a lack of universal and quick access to annotated structural surface regions on CK/CKR has limited the progress of a structure-driven approach in developing targeted macromolecular drugs and precision medicine therapeutics. Herein we develop CytoSIP (Single nucleotide polymorphisms (SNPs), Interface, and Phenotype), a rich internet application based on a database of atomic interactions around hotspots in experimentally determined CK/CKR structural complexes. CytoSIP contains: (1) SNPs on CK/CKR; (2) interactions involving CK/CKR domains, including CK/CKR interfaces, oligomeric interfaces, epitopes, or other drug targeting surfaces; and (3) diseases and phenotypes associated with CK/CKR or SNPs. The database framework introduces a unique tri-level SIP data model to bridge genetic variants (atomic level) to disease phenotypes (organism level) using protein structure (complexes) as an underlying framework (molecule level). Customized screening tools are implemented to retrieve relevant CK/CKR subset, which reduces the time and resources needed to interrogate large datasets involving CK/CKR surface hotspots and associated pathologies. CytoSIP portal is publicly accessible at https://CytoSIP.biocloud.top, facilitating the panoramic investigation of the context-dependent crosstalk between CK/CKR and the development of targeted therapeutic agents. Annotated structural atlas of cytokines and cytokine receptors featuring hotspots in a unified format, help to understand the mechanisms of cytokine-mediated signal transduction pathways and formulate therapeutic strategies. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
23993642
Volume :
7
Issue :
1
Database :
Complementary Index
Journal :
Communications Biology
Publication Type :
Academic Journal
Accession number :
177462346
Full Text :
https://doi.org/10.1038/s42003-024-06289-0