Year:    2006

CAM-Net Digest, Vol. 3 (2006), Iss. 16 : p. 6

Abstract

The First International Conference on Computational Systems Biology
Shanghai, China, July 20-23, 2006
http://life.fudan.edu.cn/ICCSB/

The First International Conference on Computational Systems Biology will be held in Shanghai, China, July 20-23, 2006

Leading researchers and practitioners in computational systems biology around the world, will gather at ICCSB '06 for four days of presentations, poster sessions, workshops, software demonstrations, and professional discussions.

The purpose of the conference is to address the emerging challenges in computational biology, to provide a general forum for discussing the latest   development in this field and to promote its applications to complex diseases   and drug development.

Typical but not exclusive topics of interest include

Modeling and identification of biological systems

Dynamics of complex biological systems
Optimization and control of biological processes
Design and synthesis of biological systems
Computational nanoscience and nanotechnology
Systems biology and drug development
Inference of gene regulatory and protein signaling networks
Protein-protein interaction networks
Proteomics for systems biology
Inference of gene interaction networks
Metabolomics in Health and Disease
Evolution of biological networks
Systems biology and environmental science
Systems biology and genome-wide association studies

Papers reporting on original researching in computational systems biology are sought. Papers submitted for review should represent original, previously   unpublished work. A selection of the accepted paper after peer review will be   invited to appear in a special issue of the IEE Proceedings Systems Biology   devoted to ICCSB 2006.

The first international conference on computational systems biology is sponsored by Fudan University, CAS-MPG Partner Institute of Computational Biology and SIBS Shanghai Jiaotong University and co-sponsored by the International Society of Computational Biology.