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