Now it is widely acknowledged that genetically inherited diseases or disorders (e.g., cancer, AIDS, obesity)
stems from the dysfunction of molecular biological systems, not only their isolated components (e.g., genes,
proteins, metabolites). Molecular biological systems typically include gene regulatory networks,
protein-protein interaction networks, metabolic networks, and signal transduction networks. With advances
in high throughput measurement techniques such as microarray, RNA-seq, ChIP-chip, yeast two hybrid analysis,
and mass spectrometry, large-scale biological data have been and will continuously be produced. Such data
contain insightful information for understanding the mechanism of molecular biological systems and have
proved useful in diagnosis, treatment, and drug design for genetically inherited diseases or disorders.
For this workshop, we strongly encourage authors to submit their original studies in modeling/construction,
analysis, synthesis, and control of disease-related biomolecular networks. Possible topics of interest include,
but are not limited to the following:
• Biomolecular network modeling and analysis
• Prediction of disease molecules from biomolecular networks
• Controllability and observability of biomolecular networks
• Drug target identification from biomolecular networks
• Biomolecular network based drug repositioning
• Dynamic analysis of biomolecular networks
• Parameter estimation of nonlinear dynamic molecular systems
• Specific disease-related molecular networks
• Disease-related protein complex or functional module detection
• Application tools for biomolecular network visualization and analysis
Electronic submission of full papers | |
Notification of paper acceptance | Oct 15, 2016 |
Camera-ready of accepted papers | Nov 5, 2016 |
Conference | Dec 15-18, 2016 |
For this workshop, we strongly encourage authors to submit their original studies in modeling/construction,
analysis, synthesis, and control of disease-related biomolecular networks. Possible topics of interest include,
but are not limited to the following:
• Biomolecular network modeling and analysis
• Prediction of disease molecules from biomolecular networks
• Controllability and observability of biomolecular networks
• Drug target identification from biomolecular networks
• Biomolecular network based drug repositioning
• Dynamic analysis of biomolecular networks
• Parameter estimation of nonlinear dynamic molecular systems
• Specific disease-related molecular networks
• Disease-related protein complex or functional module detection
• Application tools for biomolecular network visualization and analysis
Please submit a full-length paper (upto 8 page IEEE 2-column format) through the online submission system
(you can download the format instruction here (
http://www.ieee.org/conferences_events/conferences/publishing/templates.html).
Electronic submissions (in PDF or Postscript format) are required. Selected participants will
be asked to submit their revised papers in a format to be specified at the time of acceptance.
Workshop submission site
2016 International Workshop on Biomolecular Networks and Human Diseases
The selected papers from this workshop will be invited to a special issue of Complexity (Impact factor=3.514).
Electronic submission of full papers | |
Notification of paper acceptance | Oct 15, 2016 |
Camera-ready of accepted papers | Nov 5, 2016 |
Conference | Dec 15-18, 2016 |
1. Min Li, School of Information Science and Engineering, Central South University, Changsha, Hunan, China;
Email: limin@mail.csu.edu.cn
2. Haiying Wang, School of Computing and Mathematics, University of Ulster, , North Ireland, BT37 0QB, UK,
Email: hy.wang@ulster.ac.uk
3. Jianxin Wang, School of Information Science and Engineering, Central South University, Changsha, Hunan, China;
Email: jxwang@mail.csu.edu.cn
4. FangXiang Wu, College of Engineering, University of Saskatchewan, Saskatoon, SK S7N 5A9, Canada,
Email: faw341@mail.usask.ca
• Bolin Chen, School of Computer Science, Northwestern Polytechnical University, Xi’an Shaanxi, 710072, China
• David K.Y.Chiu, School of Computing and Information, University of Guelph, Ontario Canada
• Guy G Poirier, College of Medicine, Laval University, Canada
• Ian McQuillan, Department of Computer Science, University of Saskatchewan, Canada
• Jishou Ruan, School of Mathematics, Nankai University, Tianjin, China
• Jian Wang, College of Computer Science and Technology, Dalian University of Technology, Dalian, 116024
• Reda Alhajj, Department of Computer Science, University of Calgary, Calgary, Alberta, Canada
• Tony Kusalik, Department of Computer Science, University of Saskatchewan, Canada
• Weiping Wang, School of Information Science and Engineering, Central South University, Changsha, Hunan, China
• Xiaohua(Tony) Hu, College of Information Science & Technology, Drexel University, USA
• Xiujuan Lei, School of Computer Science, Shaanxi Normal University, Xi’an Shaanxi, China
• Xuewen Chen, Department of Computer Science, Wayne State University, USA
• Zhihao Yang, College of Computer Science and Technology, Dalian University of Technology, Dalian, 116024