S Ummary: Low-affinity interactions among multivalent biomolecules may lead to the formation of molecular complexes that undergo phase transitions to become extra-large clusters. Characterizing the physical properties of these clusters is important in recent biophysical research. Due to weak interactions such clusters are highly stochastic, demonstrating a wide range of sizes and compositions. We have developed a Python package to perform multiple stochastic simulation runs using NFsim (Network-Free stochastic simulator), characterize and visualize the distribution of cluster sizes, molecular composition, and bonds across molecular clusters and individual molecules of different types.
A Vailability And Implementation: The software is implemented in Python. A detailed Jupyter notebook is provided to enable convenient running. Code, user guide and examples are freely available at https://molclustpy.github.io/.
C Ontact: achattaraj007@gmail.com , blinov@uchc.edu.
S Upplementary Information: Available at https://molclustpy.github.io/.
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10055112 | PMC |
| http://dx.doi.org/10.1101/2023.03.14.532640 | DOI Listing |
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