henhaobio
Sign in

bioRxivBioinformaticsPreprint

psntools - a Python package for protein structure network analysis

Valentina SoraiD, Matteo TibertiiD, Elena PapaleoiD

PDFDOICode

Abstract

The application of network theory to investigate protein structures and conformational ensembles through Protein Structure Networks (PSNs) has proven particularly insightful to study protein dynamics, the potentially disruptive effects of disease-related mutations, and allosteric mechanisms. Here, we present psntools, a novel Python package for downstream analysis of PSNs. psntools is completely PSN-agnostic, in contrast with several available tools in the community. psntools relies only on a few Python dependencies, most notably MDAnalysis and NetworkX, works without external software, and can be incorporated into Python-based analysis pipelines. We also present an example of the usage of psntools on a case of study of biological interest, which helped produce novel insights on the structural details of the interaction between BCL-xL and the BH3 motif of BECLIN-1. The psntools package and the data associated with the case study are available at https://github.com/ELELAB/psntools.

Citations
2

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISSora '23Schneider '22Barnoud '17Bradaschia '26Behbahani '21Vishwakarma '25
74% semantic matchBioinformatics
Valentina Sora, Matteo Tiberti, Ludovica Beltrame+4 more·Journal of Chemical Information and Modeling·Jul 12, 2023· 34 citations