Computational Systems Biology aims to develop and apply efficient algorithms to address critical scientific questions through computer simulations and theoretical modeling. The system-wide modeling is particularly relevant in modern biological sciences, where the key challenge has shifted from the study of single molecules to the exhaustive exploration of molecular interactions and biological processes at the level of complete proteomes. Understanding how complex living systems work can help find treatments for disorders of poorly understood etiology, such as cancer and neurodegenerative disorders.

Researchers should cite this work as follows:

• (2024), "Louisiana State University Computational Systems Biology Group," https://sciencegateways.org/resources/louisianastateuniversitycomputationalsystemsbiologygroup.

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1. biological networks
2. computational systems biology
3. modeling
4. SGCI Client
5. tools