scholarly journals Chemical-informatics approach to COVID-19 drug discovery: Monte Carlo based QSAR, virtual screening and molecular docking study of some in-house molecules as papain-like protease (PLpro) inhibitors

Author(s):  
Sk. Abdul Amin ◽  
Kalyan Ghosh ◽  
Shovanlal Gayen ◽  
Tarun Jha
Molecules ◽  
2020 ◽  
Vol 25 (16) ◽  
pp. 3745 ◽  
Author(s):  
Stefania Mazzini ◽  
Loana Musso ◽  
Sabrina Dallavalle ◽  
Roberto Artali

A novel coronavirus (severe acute respiratory syndrome coronavirus 2, SARS-CoV-2) has been the cause of a recent global pandemic. The highly contagious nature of this life-threatening virus makes it imperative to find therapies to counteract its diffusion. The main protease (Mpro) of SARS-CoV-2 is a promising drug target due to its indispensable role in viral replication inside the host. Using a combined two-steps approach of virtual screening and molecular docking techniques, we have screened an in-house collection of small molecules, mainly composed of natural and nature-inspired compounds. The molecules were selected with high structural diversity to cover a wide range of chemical space into the enzyme pockets. Virtual screening experiments were performed using the blind docking mode of the AutoDock Vina software. Virtual screening allowed the selection of structurally heterogeneous compounds capable of interacting effectively with the enzymatic site of SARS-CoV-2 Mpro. The compounds showing the best interaction with the protein were re-scored by molecular docking as implemented in AutoDock, while the stability of the complexes was tested by molecular dynamics. The most promising candidates revealed a good ability to fit into the protein binding pocket and to reach the catalytic dyad. There is a high probability that at least one of the selected scaffolds could be promising for further research


2019 ◽  
Vol 12 (4) ◽  
pp. 30-34
Author(s):  
S. Gejalakshmi ◽  
N. Harikrishnan

Drug discovery leading to robust and viable lead candidate’s remains a challenging scientific task, which is the transition from a screening hit to a drug candidate, requires expertise and experience. Natural products and their derivatives have been recognized for many years as a source of therapeutic agents and of structural diversity. The present research attempts to describe the utilization of compounds derived from natural resources as drug candidates, with a focus on the success of these resources in the process of finding and discovering new and effective drug compounds, an approach commonly referred to as ―natural product drug discovery


2019 ◽  
Vol 20 (15) ◽  
pp. 1587-1602 ◽  
Author(s):  
Harmeet Kaur ◽  
Sudhir Gahlawat ◽  
Jasbir Singh ◽  
Balasubramanian Narasimhan

Background: The diazenyl compounds (-N=N- linkage) have been reported to have antimicrobial activity. In modern drug discovery, the drug-receptor interactions are generally explored by the molecular docking studies. Materials and Methods: Three categories of diazenyl scaffolds were screened for the docking studies to explore the binding mechanism of interaction with various microbial targets. The diazenyl Schiff bases (SBN-20, SBN-21, SBN-25, SBN-33, SBN-39, SBN-40 and SBN-42), naphthol pharmacophore based diazenyl Schiff bases (NS-2, NS-8, NS-12, NS-15, NS-21, and NS-23), morpholine based diazenyl chalcones (MD-6, MD-9, MD-14, MD-16, MD-20, and MD-21) were docked against various bacterial and fungal proteins in comparison with different standard drugs. Further, the drug likeliness and ADME properties of these molecules were predicted by QikProp module of the Schrodinger software. Results: Most of the derivatives had shown less docking scores and binding energies towards bacterial proteins, such as dihydropteroate synthase (PDB:2VEG), glucosamine-6-phosphate synthase (PDB:2VF5), dihydrofolate reductase (PDB:3SRW) in comparison with the standard drugs. The naphthol based diazenyl Schiff bases NS-21 and NS-23 were predicted to act on the cytochrome P450 sterol 14-alpha-demethylase (CYP51) (PDB:5FSA) involved in sterol biosynthesis, an essential target for antifungal drugs. The derivative MD-6, NS-2, NS-21, and NS-23 had shown high docking scores against bacterial DNA topoisomerase (PDB:3TTZ) in comparison with the standard drug ciprofloxacin. Further, most of the synthesized derivatives had shown drug like characters. Conclusion: Hence, these compounds can be developed as novel antibacterial agents as potent DNA topoisomerase inhibitors and antifungal agents as CYP51 inhibitors.


2020 ◽  
Vol 14 (1) ◽  
pp. 1626-1636
Author(s):  
Moujane Soumia ◽  
Zaki Hanane ◽  
Moualij Benaissa ◽  
Filali Zegzouti Younes ◽  
Alem Chakib ◽  
...  

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