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A modified version of the MLST algorithm, configured for a protein-protein interaction networks. The code utilizes SIGNOR 2.0, a protein-protein interaction database, as its primary resource. Data cleaning and pre-processing steps are also included

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trim-mcds's Introduction

Exploring Protein-Protein Interaction Networks - Exploring Edge Pruning via conditional Attributes

This study aims to explore the potential for identifying salient proteins for targetted drug research using a combination of the Dominating Set Theory and Edge Pruning. We performed data wrangling and cleaning as well as edge pruning as our initial step. We utilize a novel method for Edge Pruning that utilizes inherent edge attributes as node states and isolating only edges that follow a set number of rules. Finally, we performed the Minimum Leaf Spanning Tree Algorithm to determine the Minimum Connected Dominating Set of the PPI Network.

Shield: CC BY 4.0

This work is licensed under a Creative Commons Attribution 4.0 International License.

CC BY 4.0

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