Data for: A Computational Model for Understanding the Oligomerization Mechanisms of TNF Receptor Superfamily

Published: 29 Jan 2020 | Version 1 | DOI: 10.17632/fvmvnff8tf.1
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Description of this data

The simulation results from the kinetic Monte-Carlo Method

Experiment data files

This data is associated with the following publication:

A computational model for understanding the oligomerization mechanisms of TNF receptor superfamily

Published in: Computational and Structural Biotechnology Journal

Latest version

  • Version 1

    2020-01-29

    Published: 2020-01-29

    DOI: 10.17632/fvmvnff8tf.1

    Cite this dataset

    Wu, Yinghao; Su, Zhaoqian (2020), “Data for: A Computational Model for Understanding the Oligomerization Mechanisms of TNF Receptor Superfamily ”, Mendeley Data, v1 http://dx.doi.org/10.17632/fvmvnff8tf.1

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Monte Carlo Method

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The files associated with this dataset are licensed under a Public Domain Dedication licence.

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