scholarly journals New Natural Compound Inhibitors of Checkpoint Kinase-1(CHK1) Based on Computational Study

Author(s):  
Hui Li ◽  
jianxin Xi ◽  
Zhenhua Wang ◽  
Han Lu ◽  
Zhishan Du ◽  
...  

Abstract As a malignant tumor of the ovary, the general treatment principle of ovarian cancer is surgical treatment, supplemented by chemotherapy, and some patients can use targeted drugs. Its treatment effect is relatively poor, so the prognosis is poor, the mortality rate is high. To contribute to drug design and refinement, ideal lead compounds with potential inhibitory effects on ATP-competitive CHK1 (Checkpoint kinase-1) inhibitors were downloaded from the drug library (ZINC15 database) and screened afterwards. The ATP-competitive CHK1 inhibitors were identified by using computer-aided virtual screening technology. We first calculated the LibDock score through the docking of proteins and molecules, and then analyzed the pharmacological and toxicological properties. Then, we performed precise docking of the small molecules selected in the above steps with CHK1 protein to analyze their docking mechanism and affinity. Next, we used molecular dynamics simulation to make a assessment if the ligand-CHK1 complex were stable in natural environment. As the result shown, ZINC000008214547 and ZINC000072103632 were proved to bind with CHK1 with a higher binding affinity and stability. Additionally, their toxicological analysis shows that they are less toxic and will not inhibit the activity of cytochrome P-450 2D6. In the simulation of molecular dynamics, we also found that ZINC000008214547-CHK1 and ZINC000072103632-CHK1 complexes’ potential energy were more favorable compared with reference ligand, Prexasertib. Not only that, the two complexes also showed better stability in the natural environment. So, all results elucidated that ZINC000008214547 and ZINC000072103632 were favorable lead inhibitors of CHK1 protein. ZINC000008214547 and ZINC000072103632 were safe and had the potential to inhibit CHK1 protein. They may contribute a solid foundation for the development of CHK1 target drug.

Biomolecules ◽  
2021 ◽  
Vol 11 (5) ◽  
pp. 709
Author(s):  
Dakshinamurthy Sivakumar ◽  
Sathish-Kumar Mudedla ◽  
Seonghun Jang ◽  
Hyunjun Kim ◽  
Hyunjin Park ◽  
...  

PDE9 inhibitors have been studied to validate their potential to treat diabetes, neurodegenerative disorders, cardiovascular diseases, and erectile dysfunction. In this report, we have selected highly potent previously reported selective PDE9 inhibitors BAY73-6691R, BAY73-6691S, 28r, 28s, 3r, 3s, PF-0447943, PF-4181366, and 4r to elucidate the differences in their interaction patterns in the presence of different metal systems such as Zn/Mg, Mg/Mg, and Zn/Zn. The initial complexes were generated by molecular docking followed by molecular dynamics simulation for 100 ns in triplicate for each system to understand the interactions’ stability. The results were carefully analyzed, focusing on the ligands’ non-bonded interactions with PDE9 in different metal systems.


PeerJ ◽  
2021 ◽  
Vol 9 ◽  
pp. e11171
Author(s):  
Neha Srivastava ◽  
Prekshi Garg ◽  
Prachi Srivastava ◽  
Prahlad Kishore Seth

Background & Objectives The massive outbreak of Novel Severe Acute Respiratory Syndrome Coronavirus (SARS-CoV-2) has turned out to be a serious global health issue worldwide. Currently, no drugs or vaccines are available for the treatment of COVID-19. The current computational study was attempted to identify a novel therapeutic inhibitor against novel SARS-CoV-2 using in silico drug discovery pipeline. Methods In the present study, the human angiotensin-converting enzyme 2 (ACE2) receptor was the target for the designing of drugs against the deadly virus. The 3D structure of the receptor was modeled & validated using a Swiss-model, Procheck & Errat server. A molecular docking study was performed between a group of natural & synthetic compounds having proven anti-viral activity with ACE2 receptor using Autodock tool 1.5.6. The molecular dynamics simulation study was performed using Desmond v 12 to evaluate the stability and interaction of the ACE2 receptor with a ligand. Results Based on the lowest binding energy, confirmation, and H-bond interaction, cinnamic acid (−5.20 kcal/mol), thymoquinone (−4.71 kcal/mol), and andrographolide (Kalmegh) (−4.00 kcal/mol) were screened out showing strong binding affinity to the active site of ACE2 receptor. MD simulations suggest that cinnamic acid, thymoquinone, and andrographolide (Kalmegh) could efficiently activate the biological pathway without changing the conformation in the binding site of the ACE2 receptor. The bioactivity and drug-likeness properties of compounds show their better pharmacological property and safer to use. Interpretation & Conclusions The study concludes the high potential of cinnamic acid, thymoquinone, and andrographolide against the SARS-CoV-2 ACE2 receptor protein. Thus, the molecular docking and MD simulation study will aid in understanding the molecular interaction between ligand and receptor binding site, thereby leading to novel therapeutic intervention.


2013 ◽  
Vol 364 ◽  
pp. 765-768
Author(s):  
Duo Zhang ◽  
Lin Zhang

The geometry structure and adsorption energy of Cu cluster adsorbed on Au (010) surface were affected by both the height of adsorption site and temperature. The height of adsorption site has major impact on the geometry structure and adsorption energy of the cluster when the temperature is low; while it has minor impact on the geometry structure and adsorption energy of the cluster at higher temperature. The adsorption energy is relevant to the atom number of the first layer on the surface vector of the clusters.The structural of Cu clusters on Au surface and its diffusion properties were studied in this paper by molecular dynamics simulation method and computer graphics techniques. The interaction potential between atoms is adopted by EAM form proposed by Johnson, simulation adopted by canonical ensemble of molecular dynamics method, and computer simulation was adopted to simulate the atomic structure of copper clusters of different amounts of atomic layers at different temperature during heating process. Moreover the analysis of the distribution function and the mean square displacement curve were performed by two representativ kinds of copper clusters Cu55, Cu201.


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