|Title||ssbio: A Python Framework for Structural Systems Biology|
|Publication Type||Journal Article|
|Year of Publication||2017|
|Authors||Mih N, Brunk E, Chen K, Catoiu E, Sastry A, Kavvas ES, Monk JM, Zhang Z, Palsson BO|
|Other Numbers||doi: https://doi.org/10.1101/165506|
Working with protein structures at the genome-scale has been challenging in a variety of ways. Here, we present ssbio, a Python package which provides a framework to easily work with structural information in the context of genome-scale network reconstructions. The ssbio package provides an automated pipeline to construct high quality genome-scale models with protein structures (GEM-PROs), intuitively linking 3D structural data with established systems workflows.Availability and Implementation ssbio is implemented in Python and available to download under the MIT license at http://github.com/SBRG/ssbio. Documentation and Jupyter notebook tutorials are available at http://ssbio.readthedocs.io/en/latest/.
ssbio: A Python Framework for Structural Systems Biology