(2021) Using informative features in machine learning based method for COVID-19 drug repurposing

[inoue0426]

Aghdam et al., Journal of Cheminformatics, 2021.

1. What kind of research(abstract)?

Drug repurposing for Covid 19 using PPI and drug-target interaction.
Firstly find essential proteins related to Covid 19 pathology, and then construct the biological network.
After that, using some algorithms.

2. What is progress from previous research?

3. What is the specific topic?

   1. Finding essential protein related to covid-19 pathology as candidate drug targets using three steps.
      1. Using two algorithms to explore the minimum number of proteins that participate in a large number of biological processes.
         • two algorithms
           • DISRUPTION OF PROTEIN COMPLEXES
           • Disruption of Protein Complexes from Weighted Complex Networks
      2. investigating covid-19 related protein sets
      3. [MEMO] WHERE IS STEP 3...
   2. create a weighted undirected graph.
   3. Algorithm 1: spectral partitioning
      DISRUPTION OF PROTEIN COMPLEXES
   4. Algorithm 2: betweenness value
      Disruption of Protein Complexes from Weighted Complex Networks

For clustering, they use:

• PPI Network
• drugs and human protein target interactive information
• Construct of drug-target network
• Clustering based on topological features of drug targets

4. How did the method evaluate its usefulness?

Stat and clinical.

5. Are there any discussions?

6. What is the next article you should read?

• DISRUPTION OF PROTEIN COMPLEXES
• Disruption of Protein Complexes from Weighted Complex Networks