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Updated: Jun 15, 2025
A Protocol for Computer-Based Protein Structure and Function Prediction
Published on: November 3, 2011
Eliater: a Python package for estimating outcomes of perturbations in biomolecular networks
Sara Mohammad-Taheri1,2, Pruthvi Prakash Navada2, Charles Tapley Hoyt2
1Barnett Institute for Chemical and Biological Analysis, Northeastern University, Boston, MA, 02115, United States.
Summary:
We introduce Eliater, a Python package for estimating the effect of perturbation of an upstream molecule on a downstream molecule in a biomolecular network. The estimation takes as input a biomolecular network, observational biomolecular data, and a perturbation of interest, and outputs an estimated quantitative effect of the perturbation. We showcase the functionalities of Eliater in a case study of Escherichia coli transcriptional regulatory network.
Availability And Implementation:
The code, the documentation, and several case studies are available open source at https://github.com/y0-causal-inference/eliater.
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