Integrated study to infer dynamic protein-gene interactions in human P53 regulatory networks

Junbai Wang, Qian Qian Wu, Tianhai Tian

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review


Investigating the dynamics of genetic regulatory networks through high throughput experimental data, such as microarray gene expression profiles, is very important but challenging. One of the major hindrances in building detailed mathematical models for genetic regulation is the large number of unknown model parameters. To tackle this problem, a new integrated method is proposed by combining both the top-down and bottom-up approaches. Firstly, a top-down approach, using probability graphical models, is employed to predict the network structure of DNA repair pathway that involves p53 regulation. Then, a bottom-up approach, using differential equation models, is applied to study the detailed genetic regulations based on either a fully-connected regulatory network or gene networks inferred with the top-down approach. Optimal network is selected based on model simulation error and robustness property. Overall, the proposed new integrated method is efficient for studying large dynamical genetic regulations.
Original languageEnglish
Title of host publicationProceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine
EditorsJun (Luke) Huan, Satoru Miyano, Amarda Shehu, Xiaohua Hu, Bin Ma, Sanguthevar Rajasekaran, Vijay K Gombar, Ing Matthieu, Illhoi Yoo, Jiayu Zhou, Brian Chen, Vinay Pai, Brian Pierce
Place of PublicationNew York NY USA
PublisherIEEE, Institute of Electrical and Electronics Engineers
Number of pages4
ISBN (Print)9781467367981
Publication statusPublished - 2015
EventIEEE International Conference on Bioinformatics and Biomedicine 2015 - Washington, United States of America
Duration: 9 Nov 201512 Nov 2015 (Proceedings)


ConferenceIEEE International Conference on Bioinformatics and Biomedicine 2015
Abbreviated titleBIBM 2015
Country/TerritoryUnited States of America
Internet address


  • DNA repair pathway
  • Genetic regulation
  • Microarray expression data
  • Network inference

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