Genomics | Chemical Biology of the Cell | Directed Molecular Evolution | Protein Chemistry & Proteomics | Bioinformatics
Understanding protein evolutionary rate by integrating gene co-expression with protein interactions
Kaifang Pang, Chao Cheng, Zhenyu Xuan, Huanye Sheng, Xiaotu Ma*
*Corresponding author: Xiaotu Ma
Department of Molecular and Cell Biology, Center for Systems Biology, University of Texas at Dallas, Richardson, TX, USA
F1000Posters 2010, 1: 336 (poster) [ENGLISH]
Intelligent Systems for Molecular Biology 2010 meeting, 11 - 13 Jul 2010, L01
Among the many factors determining protein evolutionary rate, protein-protein interaction degree (PPID) has been intensively investigated in recent years, but its precise effect on protein evolutionary rate is still heavily debated.
Our work provides a new and efficient protein interaction degree measure by integrating protein interaction datasets with gene expression datasets. This new measure has, at least in part, resolved the longstanding debates on the role of protein interactions in affecting protein evolutionary rate. We will study if this result can be replicated in more species in the future.
No relevant conflicts of interest declared.
Please note that most posters on this site present work that is preliminary in nature and has not been peer reviewed.
This poster is open access subject to the CC BY-NC Creative Commons 3.0 License