scholarly journals Potentially repurposable drugs for schizophrenia identified from its interactome

2018 ◽  
Author(s):  
Kalyani B. Karunakaran ◽  
Srilakshmi Chaparala ◽  
Madhavi K. Ganapathiraju

AbstractFrom the schizophrenia drug-target interactome,1we studied the drugs that targeted multiple proteins in the interactome, or those that target proteins with many targets, or those that target novel (computationally predicted) interactors of schizophrenia associated proteins. In schizophrenia, gene expression has been described as a measurable aspect of the disease reflecting the action of risk genes. We studied each of the selected drugs using the NextBio software suite, and shortlisted those that had a negative correlation with gene expression of schizophrenia. This analysis resulted in 12 drugs whose differential gene expression (drug versus normal) had an anti-correlation with differential expression for schizophrenia (disorder versus normal). Some of these drugs were already being tested for their clinical activity in schizophrenia and other neuropsychiatric disorders. Several proteins in the protein interactome of the targets of several of these drugs were associated with various neuropsychiatric disorders. The network of genes which were differentially expressed on drug treatment, and had an anti-correlation with gene expression in schizophrenia, were significantly enriched in pathways relevant to schizophrenia etiology and GWAS genes associated with traits or diseases that had pathophysiological overlap with schizophrenia. Drugs that are structurally similar to the shortlisted drugs, or targeted the same genes as these drugs, have also demonstrated clinical activity in schizophrenia and other related disorders. This integrated computational analysis may help translate insights from the schizophrenia drug-protein interactome to clinical research - an important step, especially in the field of psychiatric drug development, facing a high failure rate.

2020 ◽  
Author(s):  
Kalyani B. Karunakaran ◽  
N. Balakrishnan ◽  
Madhavi Ganapathiraju

Abstract We previously presented the protein-protein interaction network (‘HoP Interactome’) of 332 host proteins that were identified to interact with 27 nCoV19 viral proteins by Gordon et al. Here, we studied drugs targeting the proteins in this interactome to identify whether any of them may potentially be repurposable against SARS-CoV-2. We studied each of the drugs using the BaseSpace Correlation Engine and identified those that induce gene expression profiles negatively correlated with SARS/COVID-associated expression profile. This analysis resulted in 24 drugs whose differential gene expression (drug versus normal) had an anti-correlation with differential expression for SARS/COVID-19 (viral infection versus normal). These included drugs that were found to be effective against SARS-CoV-2 in cell-based assays, those that are being tested for their clinical activity against SARS-CoV-2 by others, those with proven activity against SARS-CoV/MERS-CoV, broad-spectrum antiviral drugs, and those identified/prioritized by other computational re-purposing studies. In summary, our integrated computational analysis of the HoP interactome in conjunction with drug-induced transcriptomic data resulted in drugs that may be repurposable for COVID-19.


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