ssbio

ssbio integrates protein structural data with genome-scale network reconstructions to construct GEM-PROs (Genome-Scale Models with Protein Structures) and enable structural systems biology analyses.


Key Features:

  • Automated GEM-PRO construction: An automated pipeline assembles genome-scale models that incorporate protein structures.
  • Third-party program integration: Provides wrappers to invoke third-party programs for computing protein properties from structural data.
  • 3D structure-system mapping: Maps and links 3D protein structural information to components of genome-scale network reconstructions.
  • Genome-scale handling: Supports processing and integration of structural information across thousands of proteins within large-scale biological networks.

Scientific Applications:

  • GEM-PRO generation: Construction of genome-scale models augmented with protein structural data for systems-level analyses.
  • Protein property analysis at scale: Computation and incorporation of protein properties across many genes/proteins to study interactions, functions, and dynamics.
  • Structure-informed systems biology: Linking molecular 3D structure to network-level behavior and hypotheses in structural systems biology studies.

Methodology:

Implemented in Python, ssbio provides an automated pipeline and wrappers for third-party programs to integrate protein structural data and compute protein properties within genome-scale network reconstructions.

Topics

Details

License:
MIT
Tool Type:
command-line tool
Operating Systems:
Linux, Mac
Programming Languages:
Python
Added:
6/30/2018
Last Updated:
11/25/2024

Operations

Publications

Mih N, Brunk E, Chen K, Catoiu E, Sastry A, Kavvas E, Monk JM, Zhang Z, Palsson BO. ssbio: a Python framework for structural systems biology. Bioinformatics. 2018;34(12):2155-2157. doi:10.1093/bioinformatics/bty077. PMID:29444205. PMCID:PMC6658713.

PMID: 29444205
PMCID: PMC6658713
Funding: - Novo Nordisk Foundation Center for Biosustainability: NNF10CC1016517 - Swiss National Science Foundation: p2elp2_148961 - National Institute of General Medical Sciences: U01-GM102098 - National Institutes of Health: 1-U01-AI124316-01

Documentation