| Literature DB >> 32693298 |
Abstract
The new virus of the of β-Coronaviruses genus, SARS-CoV-2, is the causative agent of coronavirus disease-2019 (COVID-19) and is winning a proverbial chess match against all players simultaneous, including physicians, clinicians, pathologists, doctors, scientists, economists, athletes and politicians. The COVID-19 outbreak has seriously threatened public health, killing the most vulnerable persons and causing general panic. To stop this disease, effective remedies (i.e., drugs, vaccines, personal protection elements, etc.) are urgently required. Unfortunately, no registered specific therapies (including antiviral therapies, immune-modulating agents and vaccines) are currently available to treat coronavirus infections, highlighting an urgent need for therapeutics targeting SARS-CoV-2. In this work, fourteen existing small molecule drugs or/and experimental drugs selected by experts and examined from the point of view of bioavailability via the Lipinski-Veber rules and assessment of their physicochemical descriptors. The aim of this study is to discover selected pattern similarities and peculiar characteristics that could be useful for antiviral drug optimization, drug combination or new antiviral agent design.Entities:
Keywords: Antiviral drugs; Bioactivity scores; COVID-19; In silico ADMET properties; Lipinski’s parameters; SARS-CoV-2
Mesh:
Substances:
Year: 2020 PMID: 32693298 PMCID: PMC7362854 DOI: 10.1016/j.ejmech.2020.112647
Source DB: PubMed Journal: Eur J Med Chem ISSN: 0223-5234 Impact factor: 6.514
Fig. 1Structures of promising drugs and experimental drug candidates 1–14 in COVID-19 treatment.
Molecular descriptors calculated for drugs and drug candidates 1–14.
| Comp. | Key target | MW | pKa | LogS | % Abs. | cLogP | HBA | HBD | ROTB | TPSA | MV | n violations |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| RdRp | 15.98 | −4.96 | 38.77 | 2.12 | 5 | 15 | 203.57 | 539.85 | 2 | |||
| 3CLpro/PLpro | 13.59 | −7.14 | 67.60 | 9 | 4 | 15 | 119.99 | 607.96 | 2 | |||
| 3CLpro/PLpro | 13.63 | −6.49 | 58.71 | 4 | 17 | 145.78 | 646.30 | 3 | ||||
| RdRp | 157.10 | N/A | −1.84 | 78.26 | −0.52 | 5 | 3 | 1 | 89.11 | 118.95 | 0 | |
| ACE2 | 319.88 | 10.06 | −4.53 | 99.28 | 3 | 1 | 8 | 28.16 | 313.12 | 1 | ||
| ACE2 | 335.87 | 9.22 | −3.77 | 92.31 | 4.00 | 4 | 2 | 9 | 48.38 | 321.38 | 0 | |
| S protein/ACE2 | 477.42 | 5.24 | −6.04 | 90.13 | 4.86 | 5 | 1 | 8 | 54.70 | 386.24 | 0 | |
| RdRp | 329.31 | 12.15 | −1.28 | 59.61 | −0.26 | 10 | 4 | 6 | 143.15 | 280.87 | 0 | |
| RdRp | 244.21 | 14.81 | 0.60 | 59.41 | −2.77 | 9 | 5 | 3 | 143.73 | 197.68 | 0 | |
| JAK1/JAK2 | 306.37 | N/A | −4.14 | 80.30 | 1.83 | 6 | 1 | 4 | 83.19 | 281.01 | 0 | |
| RdRp | 225.25 | 4.55 | −0.11 | 76.20 | −0.26 | 6 | 3 | 7 | 95.08 | 207.27 | 0 | |
| UN | 8.63 | −4.08 | 46.87 | 3.10 | 5 | 7 | 180.09 | 736.45 | 2 | |||
| 3CLpro/PLpro | 15.44 | −5.47 | 50.32 | 2.61 | 3 | 8 | 170.09 | 825.84 | 2 | |||
| 3CLpro/PLpro | 15.24 | −5.06 | 50.32 | 2.11 | 2 | 7 | 170.09 | 809.04 | 2 | |||
| 3CLpro/PLpro | N/A | −7.67 | 46.72 | 4.65 | 3 | 8 | 180.52 | 637.73 | 2 |
Bold items indicate violations of the Lipinski’s rule.
Molecular weight (g/mol).
pKa calculated using commercially available ChemDraw 15.0 program.
Aqueous solubility.
Percentage of absorption calculated by % Absorption = 109-(0.345 × TPSA).
Logarithm of the partition coefficient between n-octanol and water.
Number of hydrogen-bond acceptors.
Number of hydrogen-bond donors.
Number of rotatable bonds.
Total molecular polar surface area (Å2).
Molecular volume.
Violations of the Lipinski’s rule and did not include the violations of Verb’s rule.
JAK, Janus kinases play a central role in signal transduction in hematopoietic cells as well as in cells of the immune system.
UN, unknown detailed anti-influenza virus mechanism; azithromycin does not affect attachment of viruses onto the cell surface but blocks internalization into host cells during the early phase of infection (in mice).
Molinspiration bioactivity scoresa for compounds 1–14.
| Comp. | GPCR ligand | Ion channel modulator | Kinase inhibitor | Nuclear receptor ligand | Protease inhibitor | Enzyme inhibitor |
|---|---|---|---|---|---|---|
| 0.17 | −0.55 | 0.05 | −0.57 | 0.22 | ||
| 0.04 | −0.78 | −0.55 | −0.66 | −0.37 | ||
| 0.04 | −1.24 | −0.82 | −1.25 | −0.51 | ||
| −0.43 | −0.35 | −1.14 | −0.58 | −0.18 | ||
| −0.19 | 0.05 | 0.11 | ||||
| −0.12 | 0.12 | 0.15 | ||||
| −0.19 | −0.44 | −0.39 | −0.34 | −0.46 | −0.07 | |
| −0.06 | 0.19 | −0.76 | ||||
| −0.21 | −1.46 | −0.20 | ||||
| 0.10 | −0.67 | −0.13 | ||||
| −0.20 | −1.05 | |||||
| −0.68 | −1.59 | −1.45 | −1.41 | −0.27 | −0.73 | |
| −2.50 | −2.89 | −3.21 | −2.94 | −1.91 | −2.53 | |
| −2.31 | −2.79 | −3.08 | −2.80 | −1.72 | −2.41 | |
| −0.05 | −1.35 | −1.06 | −1.15 | −0.49 |
Items marked in bold parameters indicate strong drug-target interaction.