From Molecular Dynamics to Systems Biology: A Multi-scale Approach Tightly Integrating Simulation and Experiment to Quantitatively Analyze the Transcription Accuracy of RNA Polymerase II


Grant Data
Project Title
From Molecular Dynamics to Systems Biology: A Multi-scale Approach Tightly Integrating Simulation and Experiment to Quantitatively Analyze the Transcription Accuracy of RNA Polymerase II
Principal Investigator
Dr Li, Xuechen   (Co-principal investigator)
Co-Investigator(s)
Professor Huang Xuhui   (Project coordinator)
Duration
36
Start Date
2016-06-30
Completion Date
2019-06-29
Amount
600000
Conference Title
Presentation Title
Keywords
RNA Polymerase II, Transcription fidelty, Markov State Models, Molecular Dynamics, Transcriptome
Discipline
Gene Regulation,Bioinformatics, Systems and Synthetifc Biology
Panel
Physical Sciences
Sponsor
RGC Collaborative Research Fund (CRF)
HKU Project Code
C6009-15G
Grant Type
Collaborative Research Fund (CRF) - Group Research Project
Funding Year
2015/2016
Status
On-going
Objectives
1. To elucidate structural dynamics of critical conformational changes during Pol II elongation. 2. To construct sequence-dependent kinetic network models for complete Pol II elongation cycles. 3. To apply kinetic network models to identify hot-spot sequence motifs with high transcription errors from the yeast transcriptome. To link these error prone sequence motifs with dynamics of specific Pol II conformational changes using Pol II mutant libraries. 4. To apply kinetic network models to investigate the hot spots for transcriptional mutations caused by human Pol II in the transcriptome.