- Fungal glucan synthases
- Kinesins
- G-protein coupled receptors
- Tyrosine protein kinases / growth factors
- DNA/RNA interacting proteins
- Ion channels
- Proteins involved in sterols synthesis
- Ubiquitin ligase components BRDs & HDACs
- Some sparse coagulation factors
- Serine/threonine and PI kinases
- Sigma receptors
- Nuclear steroid hormone receptors
- Heat shock proteins
- Ribosomal proteins
- Apoptosis regulator Bcl-2
- Ion pumps
- Adhesion proteins
- Gonadotropin-releasing hormone receptor GNRHR
- Acetyl and butiryl cholinesterases
- Other viral proteins.
- Non-classified proteins.
- Proteins linked to SARS reactome pathways.
- Transporters
- Proteases
Scatter plot flagging best ranked glucan synthases .
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And how are these glucan synthases ranked by their combination of scores.
And all the interactions of these glucan synthases with actual or predicted SARS active compounds.
Scatter plot flagging best ranked kinesins .
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And how are these kinesins ranked by their combination of scores.
And all the interactions of these kinesins with actual or predicted SARS active compounds.
Scatter plot flagging best ranked GPCRs.
And how are these GPCRs ranked by their combination of scores.
And all the interactions of these GPCRs with actual or predicted SARS active compounds.
Scatter plot flagging best ranked tyrosine kinases.
And how are these tyrosine kinases ranked by their combination of scores.
And all the interactions of these tyrosine kinases with actual or predicted SARS active compounds.
Scatter plot flagging best ranked DNA/RNA interacting proteins.
And how are these DNA/RNA interacting proteins ranked by their combination of scores.
And all the interactions of these DNA/RNA interacting proteins with actual or predicted SARS active compounds.
Scatter plot flagging best ranked ion channels.
And how are these ion channels ranked by their combination of scores.
And all the interactions of these ion channels with actual or predicted SARS active compounds.
Scatter plot flagging best ranked proteins involved in sterols synthesis from different groups of organisms.
And how are these proteins involved in sterols synthesis ranked by their combination of scores.
And all the interactions of these proteins involved in sterols synthesis with actual or predicted SARS active compounds and the pathways they are involved in.
Scatter plot flagging best ranked Ubiquitin tagging subunits, histone deacetylases and bromodomain proteins.
And how are these ubiquitin tagging subunits, histone deacetylases and bromodomain proteins ranked by their combination of scores.
And all the interactions of these ubiquitin tagging subunits, histone deacetylases and bromodomain proteins with actual or predicted SARS active compounds.
Scatter plot flagging best ranked coagulation factors.
And how are these coagulation factors ranked by their combination of scores.
And all the interactions of these coagulation factors with actual or predicted SARS active compounds.
Scatter plot flagging best ranked serine/threonine and PI kinases.
And how are these serine/threonine and PI kinases ranked by their combination of scores.
And all the interactions of these serine/threonine and PI kinases with actual or predicted SARS active compounds.
Scatter plot flagging best ranked Sigma receptors.
And how are these Sigma receptors ranked by their combination of scores.
And all the interactions of these Sigma receptors with actual or predicted SARS active compounds. Note the connections with cholesterol synthesis enzymes.
Scatter plot flagging best ranked nuclear steroid hormone receptors.
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And how are these nuclear steroid hormone receptors ranked by their combination of scores.
And all the interactions of these nuclear steroid hormone receptors with actual or predicted SARS active compounds.
Scatter plot flagging best ranked heat shock proteins.
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And how are these HSPs ranked by their combination of scores.
And all the interactions of these HSPs with actual or predicted SARS active compounds.
Scatter plot flagging best ranked ribosomal proteins.
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And how are these ribosomal proteins ranked by their combination of scores.
And all the interactions of these ribosomal proteins with actual or predicted SARS active compounds.
Scatter plot flagging best ranked BCL2 proteins.
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And how are these BCL2 proteins ranked by their combination of scores.
And all the interactions of these BCL2 proteins with actual or predicted SARS active compounds.
Scatter plot flagging best ranked ion pumps.
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And how are these ion pumps ranked by their combination of scores.
And all the interactions of these ion pumps with actual or predicted SARS active compounds.
Scatter plot flagging best ranked adhesion proteins.
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And how are these adhesion proteins ranked by their combination of scores.
And all the interactions of these adhesion proteins with actual or predicted SARS active compounds.
Scatter plot flagging GNRHR.
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And how is GNRHR ranked by their combination of scores.
And all the interactions of GNRHR with actual or predicted SARS active compounds.
Scatter plot flagging best ranked cholinesterases.
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And how are these cholinesterases ranked by their combination of scores.
And all the interactions of these cholinesterases with actual or predicted SARS active compounds.
Are cholinesterases an artifact or a non described/reported/suspected mechanism?
- No clear references have been found in literature linking cholinesterases to antiviral effects.
- Canonical cholinesterase inhibitors (DONEPEZIL, ECHOTHIOPHATE, GALANTAMINE, ISOFLUROPHATE, MINAPRINE, NEOSTIGMINE, PYRIDOSTIGMINE, RIVASTIGMINE, TACRINE) have not been identified as active against coronavirus, neither in actual nor predicted records.
- The selectivity index (Degree/CountOfScores representing the number of SARS active interactions vs total records per protein in ChEMBL) is very low, suggesting an artefactual finding caused by over representation of cholinesetrase molecules.
- However, if we look at the selectivity of these interactions, although we find quite high pleiotropy among the drugs interacting with cholinesterases, most of molregnos seem to be uniquely associated to cholinesterase activity. See interactions graph below.
Scatter plot flagging best ranked additional viral proteins.
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And how are these additional viral proteins ranked by their combination of scores.
And all the interactions of these viral proteins with actual or predicted SARS active compounds.
Scatter plot flagging best ranked non-classified proteins .
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And how are these non-classified proteins ranked by their combination of scores.
And all the interactions of these non classified proteins with actual or predicted SARS active compounds.
For these proteins, drTarget has failed to find clear literature references supporting their relevance against viral infections.
They may be false positives, but they can be new subjects for research instead.
Why not to give them a chance in an early prospective program?
Scatter plot flagging all ChEMBL proteins linked to SARS pathways annotated in Reactome DB. Note significant scores for SigmaR1, Jak & ROCK kinases, FURIN protease, viral replicases, FKBPs, histone deacetylase HDAC2, glucocorticoid receptor NR3C1, bromodomain protein BRD4, Ub-transference subunits like CRBN and VHL, leukotriene receptor CYSLTR1 and Interleukin-6 receptor.
And how are these proteins linked to SARS pathways annotated in Reactome DB ranked by their combination of scores.
And all the interactions of these proteins linked to SARS pathways annotated in Reactome DB with actual or predicted SARS active compounds.
Note how SARS pathways from reactome contain proteins identified by drTarget algorithms as relevant for coronavirus infections.
geneName | protName | avgSARSScore | kindOfValue | organismType | Degree | protein_class_name |
rep | Replicase polyprotein 1ab | 5.23983187 | actual | virus | 147 | Enzyme |
1a | Replicase polyprotein 1a | 5.146501741 | actual | virus | 101 | Enzyme |
VHL | von Hippel-Lindau disease tumor suppressor | 4.412667156 | actualAndPredicted | mammals | 43 | Unclassified protein |
FURIN | Furin | 3.804257957 | predicted | mammals | 169 | Serine protease S8B subfamily |
CRBN | Protein cereblon | 4.397967462 | actualAndPredicted | mammals | 19 | Unclassified protein |
Sigmar1 | Sigma non-opioid intracellular receptor 1 | 2.816706135 | actualAndPredicted | mammals | 692 | Membrane receptor, Other membrane protein |
NR3C1 | Glucocorticoid receptor | 2.841753598 | actualAndPredicted | mammals | 348 | Nuclear hormone receptor subfamily 3 group C member 1 |
CYSLTR1 | Cysteinyl leukotriene receptor 1 | 3.065313119 | actualAndPredicted | mammals | 182 | Leukotriene receptor |
BRD4 | Bromodomain-containing protein 4 | 2.729343003 | actualAndPredicted | mammals | 218 | Bromodomain |
IL6R | Interleukin-6 receptor subunit alpha | 4.640871157 | actual | mammals | 1 | Membrane receptor, Secreted protein |
JAK2 | Tyrosine-protein kinase JAK2 | 2.364319566 | actualAndPredicted | mammals | 328 | Tyrosine protein kinase JakA family, Tyrosine protein kinase JakB family |
TUBB | Tubulin beta chain | 2.879798395 | actualAndPredicted | mammals | 92 | Structural protein |
JAK1 | Tyrosine-protein kinase JAK1 | 2.409715954 | actualAndPredicted | mammals | 195 | Tyrosine protein kinase JakA family, Tyrosine protein kinase JakB family |
JAK3 | Tyrosine-protein kinase JAK3 | 2.312167295 | actualAndPredicted | mammals | 197 | Tyrosine protein kinase JakA family, Tyrosine protein kinase JakB family |
Hdac2 | Histone deacetylase 2 | 2.364636615 | actualAndPredicted | mammals | 173 | HDAC class I |
FKBP1A | Peptidyl-prolyl cis-trans isomerase FKBP1A | 2.811545153 | actualAndPredicted | mammals | 57 | Isomerase |
TBK1 | Serine/threonine-protein kinase TBK1 | 2.492399882 | actualAndPredicted | mammals | 113 | Other protein kinase IKK family |
ATP1A1 | Sodium/potassium-transporting ATPase subunit alpha-1 | 3.00165687 | actualAndPredicted | mammals | 25 | Hydrolase, Sodium potassium ATPase |
Note: Reactome Pathways is building New SARS-CoV-2 pathways to be included in the DB. Meanwhile, drTarget uses the existing SARS-CoV-1 paths, presumably similar, if not identical. However it is very likely that intensive research on SARS-CoV-2 reveals new networks to be included in future analyses.
Scatter plot flagging best ranked transporters.
And how are these transporters ranked by their combination of scores.
And all the interactions of these transporters with actual or predicted SARS active compounds.
Scatter plot flagging best ranked proteases.
Predicted activities have been aggregated at the protein level into different scores attending to their potency, frequency of protein-molecule interactions, and specificity based on positive records vs total number of active records. Network graphs show all ChEMBL interactions of predicted active molecules. Barcharts and scatter plots show the aggregated potency against SARS-CoV (SARS_Score) vs the number of distinct molecular interactions for each protein (expressed as logged degree). Most interesting proteins attending to any of these values have been flagged in the scatter plots. Additional details as described in respective captions.