| Literature DB >> 36014537 |
Mabrouk Horchani1, Niels V Heise2, René Csuk2, Hichem Ben Jannet1, Abdel Halim Harrath3, Anis Romdhane1.
Abstract
In addition to vaccines, antiviral drugs are essential in order to suppress COVID-19. Although some inhibitor candidates have been determined to target the SARS-CoV-2 protein, there is still an urgent need to continue researching novel inhibitors of the SARS-CoV-2 main protease 'Omicron P132H', a protein that has recently been discovered. In the present study, in the search for therapeutic alternatives to treat COVID-19 and its recent variants, we conducted a structure-based virtual screening using docking studies for a new series of pyrazolo[3,4-d]pyrimidin-4(5H)-one derivatives 5-13, which were synthesized from the condensation reaction of pyrazolopyrimidinone-hydrazide (4) with a series of electrophiles. Some significant ADMET predictions-in addition to the docking results-were obtained based on the types of interactions formed and the binding energy values were compared to the reference anti- SARS-CoV-2 redocked drug nirmatrelvir.Entities:
Keywords: 2,5-pyrrolidinedione; ADMET; COVID-19; Omicron; cyclic anhydride; diketone; docking; pyrazole; pyrazolopyrimidinone
Mesh:
Substances:
Year: 2022 PMID: 36014537 PMCID: PMC9416631 DOI: 10.3390/molecules27165303
Source DB: PubMed Journal: Molecules ISSN: 1420-3049 Impact factor: 4.927
Figure 1Previously reported antiviral compounds (A–E).
Scheme 1Synthetic pathway to the precursors 2–4.
Scheme 2Synthetic pathway to the compounds 5–13.
Figure 2(Right): the structure of SARS-CoV-2 Mpro Omicron P132H in complex with nirmatrelvir. (Left): chain A of main protease enzyme.
Ligand and receptor (Omicron) interactions: binding affinity, number of conventional hydrogen bonds and interacting amino acid residues.
| Ligand | Binding Affinity | Intermolecular Interactions | |
|---|---|---|---|
| Conventional | Interacting Amino Acid Residues | ||
|
| −7.5 | 1 | HIS41, MET49, MET165, GLU166 *, LEU167, PRO168, ASP187, GLN189 |
|
| −7.7 | 3 | MET49, CYS145 *, HIS163, HIS164 *, GLU166 * |
|
| −8.0 | 2 | HIS41, ASN142 *, GLY143, CYS145 *, MET165, PRO168, GLN189, THR190, ALA191 |
|
| −8.2 | 3 | THR26 *, HIS41, MET49, GLY143 *, CYS145, HIS163, MET165, GLU166 * |
|
| −7.4 | 2 | HIS41, MET49, ASN142, CYS145, MET165, GLU166 **, PRO168 |
|
| −7.7 | 3 | HIS41, MET49, ASN142, CYS145, GLU166 **, THR190 * |
|
| −7.6 | 3 | HIS41, MET49, GLY143, CYS145, GLU166 **, THR190 * |
|
| −7.0 | 1 | HIS41, MET49, GLY143, CYS145, GLU166 * |
|
| −7.8 | 3 | HIS41, MET49, ASN142, CYS145, GLU166 *** |
| −7.7 | 2 | HIS41, MET49, PHE140, LEU141, SER144 *, HIS163, MET165, GLU166 * | |
R: Reference drug; *: One H-bond; **: Two H-bonds; ***: Three H-bonds.
Figure 3Representation of the 3D structure of the docked compounds 5, 6, and 7 bound to the pocket region of SARS-CoV-2 Mpro with the hydrogen bond (left) and the corresponding 2D diagram of the interactions (right).
Figure 4Representation of the 3D structure of the docked compounds 8, 9, and 10 bound to the pocket region of SARS-CoV-2 Mpro with the hydrogen bond (left) and the corresponding 2D diagram of the interactions (right).
Figure 5Representation of the 3D structure of the docked compounds 11, 12, and 13 bound to the pocket region of SARS-CoV-2 Mpro with the hydrogen bond (left) and the corresponding 2D diagram of the interactions (right).
Figure 6Representation of the 3D structure of the docked nirmatrelvir bound to the pocket region of SARS-CoV-2 Mpro with the hydrogen bond (left) and the corresponding 2D diagram of the interactions (right).
Predicted physicochemical properties for the target compounds 5–13.
| Compd. No. | MW a | nHA b | nHD c | logP( | Nrotbo e | TPSA f | MV g | %Abs h |
|---|---|---|---|---|---|---|---|---|
| Acceptable Value | <500 | <10 | <5 | <5 | ≤10 | <140 | 500 | 100% |
|
| 394.180 | 9 | 1 | 0.654 | 4 | 105.610 | 388.873 | 72.56 |
|
| 456.190 | 9 | 1 | 1.515 | 5 | 105.610 | 458.888 | 72.56 |
|
| 442.140 | 10 | 1 | 1.101 | 5 | 119.190 | 430.449 | 67.87 |
|
| 446.170 | 10 | 1 | 1.327 | 5 | 127.200 | 435.722 | 65.11 |
|
| 458.170 | 10 | 1 | 1.014 | 5 | 127.200 | 444.462 | 65.11 |
|
| 420.150 | 10 | 1 | 0.902 | 5 | 119.190 | 409.687 | 67.87 |
|
| 460.050 | 10 | 1 | 1.263 | 5 | 119.190 | 405.517 | 67.87 |
|
| 410.130 | 11 | 3 | −0.505 | 8 | 148.870 | 392.441 | 57.63 |
|
| 412.150 | 11 | 3 | −0.562 | 9 | 148.210 | 395.078 | 57.86 |
But this a Molecular weight, b Number of hydrogen-bond acceptors, c Number of hydrogen-bond donors, d Octanol/water partition coefficient, e Number of rotatable bonds, f Topological polar surface area, g Molecular volume, and h Percentage of absorption (%Abs = 109 − [0.345 × TPSA]).
Predicted medicinal chemistry properties and the Lipinski parameters for the target compounds 5–13.
| Compd. No. | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 |
|---|---|---|---|---|---|---|---|---|---|
|
| + | + | + | + | + | + | + | + | + |
|
| + | + | + | + | + | + | + | + | + |
|
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 |
The pred +: Accepted; i Nviolation Lipinski: number of violations according to the Lipinski “rule of five”.
Figure 7Computational Toxicity Risk plots of compounds 5–13. Mut: Mutagenicity, Tum: Tumorigenicity, Irri: Irritation, Rep: Reproductive or developmental toxicity.