An insight for the inhibition of anxiolytic and anti-convulsant effects in zebrafish using the curcumins via exploring molecular docking and molecular dynamics simulations

In the contemporary landscape, anxiety and seizures stand as major areas of concern, prompting researchers to explore potential drugs against them. While numerous drugs have shown the potential to treat these two neurological conditions, certain adverse effects emphasize the need for development of safer alternatives. This study seeks to employ an in silico approach to evaluate natural compounds, particularly curcumins, as potential inhibitors of GABA-AT to mitigate anxiety and seizures. The proposed methodology includes generating a compound library, minimizing energy, conducting molecular docking using AutoDock, molecular dynamics simulations using Amber, and MM-GBSA calculations. Remarkably, CMPD50 and CMPD88 exhibited promising binding affinities of - 9.0 kcal/mol and - 9.1 kcal/mol with chains A and C of GABA-AT, respectively. Further, MM-GBSA calculations revealed binding free energies of - 10.88 kcal/mol and - 10.72 kcal/mol in CMPD50 and CMPD88, respectively. ADME analysis showed that these compounds contain drug-likeness properties and might be considered as potential drug candidates. The findings from this study will have practical applications in the field of drug discovery for the development of safer and effective drugs for treatment of anxiety and seizures. Overall, this study will lay the groundwork for providing valuable insights into the potential therapeutic effects of curcumins in alleviating anxiety and seizures, establishing a computational framework for future experimental validation.

An investigation for the interaction of gamma oryzanol with the Mpro of SARS-CoV-2 to combat COVID-19: DFT, molecular docking, ADME and molecular dynamics simulations

COVID-19 has affected more or less every nation across the world and affected the economy very badly. Infection of this virus in human took the life of millions. We have already faced the first and the second waves of COVID-19 and recently, the nations or humanity is afraid of new strain, that is, OMICRON. Considered to highly infectious than the previous strains. Therefore, the researchers are working to find a promising molecule with no or permissible toxicity. In the present work, authors have chosen 10 molecules including the molecules used in curing the infection from nCoV. All the molecules were docked against Mpro of nCoV using iGemdock, a reliable computational tool. Based on the binding energy obtained, it can be seen that only latermovir; remdesivir; zanamivir showed better binding affinity than the gamma oryzanol, the molecule of interest in this work. These three molecules are already in use to cure the patients siffering from the infection of nCoV. But, we need a cost effective and easily available molecule to fight against this viral infection. The binding energy obtained for the formation of complex of gamma oryzanol with Mpro of nCoV through molecular docking is -118.787 kcal/mol. It forms conventional hydrogen bonds with the CYS145 (2.51 Å), LEU141 (3.01 Å) and SER144 (3.09 Å); forms C-H bonds with PHE140 (3.37 Å) and HIS163 (2.91 Å), forms alkyl interactions with ALA191 (3.59 and 4.74 Å), CYS145 (4.90 Å). One interesting information is obtained that the value of log Kp of gamma oryzanol is least means more permeable to skin in comparison of other molecules used in the work. Gamma oryzanol in known for to its biological potency like it can modulate the oxidative stress as well as inflammation. DFT calculations of gamma oryzanol (GO) was made at different temperature and no change in the delocalization of electron density as well no change in free energy is observed. Molecular dynamics (MD) simulations of gamma oryzanol with the Mpro of nCoV at different temperatures was performed. The formation of the complex between GO and Mpro of CoV at 290 K, 300 K, 310 K and 320 K for 100 ns was investigated. It has been observed that the effective binding is observed at 290 K, therefore, it can be said that the inhibition of the Mpro of nCoV with GO is maximum at 290 K.Communicated by Ramaswamy H. Sarma.

Molecular docking studies and biological evaluation of isoxazole-carboxamide derivatives as COX inhibitors and antimicrobial agents

Non-steroidal anti-inflammatory drugs (NSAIDs) are considered one of the most commonly used medications globally. Seventeen isoxazole-containing compounds with various functional groups were evaluated in this work to identify which one was the most potent and which group was most selective toward COX-1 and COX-2 by using an in vitro COX inhibition assay kit. Their cytotoxicity was evaluated on the normal hepatic cell line (LX-2) utilizing the MTS assay. Moreover, these molecules' antibacterial and antifungal activities were evaluated using a microdilution assay against several bacterial and fungal species. In addition, molecular docking studies were conducted to identify the possible binding interactions between these compounds and their biological targets by using the X-ray crystal structure of the human COX enzyme and different proteins of bacterial and fungal strains. At the same time, the QiKProp module was used for ADME-T analysis. The results showed that all evaluated isoxazole derivatives showed moderate to potent activities against COX enzymes. The most potent compound against COX-1 and COX-2 enzymes was A13, with IC50 values of 64 and 13 nM, respectively, and a significant selectivity ratio of 4.63. It was clear that the 3,4-dimethoxy substitution on the first phenyl ring and the Cl atom on the other phenyl pushed the 5-methyl-isoxazole ring toward the secondary binding pocket and created the ideal binding interactions with the COX-2 enzyme in comparison with the other compounds. Compound A8 showed antibacterial and antifungal activities against Pseudomonas aeruginosa, Klebsiella pneumonia, and Candida albicans with MIC values of 2 mg/ml. In fact, this compound showed possible binding interactions with the elastase in P. aeruginosa and KPC-2 carbapenemase in K. pneumonia. Furthermore, for better understanding, molecular dynamics simulations were undertaken to study the change in dynamicity of the protein backbone and ligand after the ligand binds to the protein and to ensure the stability of ligand-protein complexes.

Supplementary Information

The online version contains supplementary material available at 10.1007/s13205-022-03408-8.

An understanding of coronavirus and exploring the molecular dynamics simulations to find promising candidates against the Mpro of nCoV to combat the COVID-19: A systematic review

The first infection case of new coronavirus was reported at the end of 2019 and after then, the cases are reported in all nations across the world in a very short period. Further, the regular news of mutations in the virus has made life restricted with appropriate behavior. To date, a new strain (Omicron and its new subvariant Omicron XE) has brought fear amongst us due to a higher trajectory of increase in the number of cases. The researchers thus started giving attention to this viral infection and discovering drug-like candidates to cure the infections. Finding a drug for any viral infection is not an easy task and takes plenty of time. Therefore, computational chemistry/bioinformatics is followed to get promising molecules against viral infection. Molecular dynamics (MD) simulations are being explored to get drug candidates in a short period. The molecules are screened via molecular docking, which provides preliminary information which can be further verified by molecular dynamics (MD) simulations. To understand the change in structure, MD simulations generated several trajectories such as root mean square deviation (RMSD), root mean square fluctuation (RMSF), hydrogen bonding, and radius of gyration for the main protease (Mpro) of the new coronavirus (nCoV) in the presence of small molecules. Additionally, change in free energy for the formation of complex of Mpro of nCoV with the small molecule can be determined by applying molecular mechanics with generalized born and surface area solvation (MM-GBSA). Thus, the promising molecules can be further explored for clinical trials to combat coronavirus disease-19 (COVID-19).

Hunting the main protease of SARS-CoV-2 by plitidepsin: Molecular docking and temperature-dependent molecular dynamics simulations

COVID-19 has shaken all the countries across the globe and researchers are trying to find promising antiviral to cure the patients suffering from infection and can decrease the death. Even, different nations are using repurposing drugs to cure the symptoms and these repurposing drugs are hydroxychloroquine, remdesivir, and lopinavir, and recently, India has recently given the approval for the 2-deoxy-d-glucose for emergency purpose to cure the patients suffering from the COVID-19. Plitidepsin is a popular molecule and can be used in treatment of myeloma. Plitidepsin was explored by scientists experimentally against the COVID-19 and was given to the patient. It is found to be more a promising repurposing drug against the COVID-19 than the remdesivir. Therefore, there is a need to understand the interaction of plitidepsin with the main protease of SARS-CoV-2. Molecular docking of the plitidepsin against Mpro of SARS-CoV-2 was performed and the binding energy was found to be − 137.992 kcal/mol. Furthermore, authors have performed the molecular dynamics simulations of the main protease of SARS-CoV-2 in presence of plitidepsin at 300 and 325 K. It was found that the plitidepsin binds effectively with the main protease of SARS-CoV-2 at 300 K.

Interactions between main protease of SARS-CoV-2 and testosterone or progesterone using computational approach

SARS-CoV-2 is drastically spread across the globe in a short period of time and affects the lives of billions. There is a need to find the promising drugs like candidates against the inhibition of novel corona virus or SARS-CoV-2. Herein, the interaction on sex hormones (testosterone and progesterone) with Mpro of SARS-CoV-2 was investigated with the help of molecular docking. The binding energy for the formation complex between the progesterone and testosterone with main protease of SARS-CoV-2 are -86.05 and -91.84 kcal/mol, respectively. From this, it can be understood that testosterone showed better binding affinity with Mpro of nCoV and thus, more inhibition of the main protease. Then, the binding was further studied using molecular dynamics simulations at different temperatures (300, 310 and 325) K. It has been observed that the formations of complex between the Mpro of nCoV with testosterone/ progesterone is better at 300 K than 310 and 325 K. Further, it is found that the more effective binding of testosterone with Mpro of nCoV is observed than the progesterone based on the RMSD, RMSF and H-bond trajectories. Results indicate the promising nature of testosterone towards the inhibition of Mpro of nCoV.

A review targeting the infection by CHIKV using computational and experimental approaches

The rise of normal body temperature of 98.6 °F beyond 100.4 °F in humans indicates fever due to some illness or infection. Viral infections caused by different viruses are one of the major causes of fever. One of such viruses is, Chikungunya virus (CHIKV) is known to cause Chikungunya fever (CHIKF) which is transmitted to humans through the mosquitoes, which actually become the primary source of transmission of the virus. The genomic structure of the CHIKV consists of the two open reading frames (ORFs). The first one is a 5' end ORF and it encodes the nonstructural protein (nsP1-nsP4). The second is a 3' end ORF and it encodes the structural proteins, which is consisted of capsid, envelope (E), accessory peptides, E3 and 6 K. Till date, there is no effective vaccine or medicine available for early detection of the CHIKV infection and appropriate diagnosis to cure the patients from the infection. NSP3 of CHIKV is the prime target of the researchers as it is responsible for the catalytic activity. This review has updates of literature on CHIKV; pathogenesis of CHIKV; inhibition of CHIKV using theoretical and experimental approaches.Communicated by Ramaswamy H. Sarma.

Characterization, biological evaluation and molecular docking of mulberry fruit pectin

Contemplating the exemplary benefits of pectin on human health, we precisely characterized and evaluated the antibacterial and anticancer activities from purified Mulberry Fruit Pectins (MFP). Here, we tested BR-2 and S-13 varieties of mulberry fruit pectins against six bacterial strains and two human cancer cell lines (HT-29 and Hep G-2), using MIC and an in vitro cell-based assay respectively. The BR-2 mulberry fruit pectin performs superior to S-13 by inhibiting strong bacterial growth (MIC = 500–1000 μg/mL) against tested bacterial strains and cytotoxic activities at the lowest concentration (10 µg/ml) against the Hep G-2 cell line. However, both tested drugs failed to exhibit cytotoxicity on the human colon cancer cell line (HT-29). Based on molecular interaction through docking, pectin binds effectively with the receptors (1e3g, 3t0c, 5czz, 6j7l, 6v40, 5ibs, 5zsy, and 6ggb) and proven to be a promising antimicrobial and anti-cancer agents. The pursuit of unexploited drugs from mulberry fruit pectin will potentially combat against bacterial and cancer diseases. Finally, future perspectives of MFP for the treatment of many chronic diseases will help immensely due to their therapeutic properties.

DFT and docking studies of designed conjugates of noscapines & repurposing drugs: promising inhibitors of main protease of SARS-CoV-2 and falcipan-2

First case of the present epidemic, coronavirus disease (COVID-19) is reported in the Wuhan, a city of the China and all the countries throughout the world are being affected. COVID-19 is named by World Health Organization and it stands for coronavirus disease-19. As on 27^th October, 2020, 73,776,588 people around the world are infected. It is also known as SARS-CoV-2 infection. Till date, there is no promising drug or vaccine available in market to cure from this lethal infection. As the literature reported that noscapine a promising candidate to cure from malaria as well reported to be cough suppressant and anti-cancerous. In our previous work, a derivative of noscapine has shown potential behavior against the main protease of novel coronavirus or SARS-CoV-2. Based on the previous study, hybrid molecules based on noscapine and repurposing (antiviral) drugs were designed to target the main protease of novel coronavirus and falcipan-2 using molecular docking. It is proposed that the designed hydrids or conjugates may have promising antiviral property i.e. against the main protease of novel coronavirus and falcipan-2. The designed molecules were thoroughly studied by DFT and different thermodynamic parameters were determined. Further, infrared and Raman spectra of the designed hybrid molecules were determined and studied.Communicated by Ramaswamy H. Sarma.

In-silico prediction of novel drug-target complex of nsp3 of CHIKV through molecular dynamic simulation

Literature reported that nsp3 of CHIKV is an important target for the designing of drug as it involves in the replication, survival etc. Herein, about eighteen million molecules available in the ZINC database are filtered against nsp3 using RASPD. Top five hit drug molecules were then taken from the total screened molecules (6988) from ZINC database. Then, a one pot-three components reaction is designed to get the pyrazolophthalazine and its formation was studied using DFT method. Authors created a library of 200 compounds using the product obtained in the reaction and filtered against nsp3 of CHIKV based on docking using iGEMDOCK, a computational tool. Authors have studied the best molecules after applying the the Lipinski's rule of five and bioactive score. Further, the authors took the best compound i.e. CMPD178 and performed the MD simulations and tdMD simulations with nsp3 protease using AMBER18. MD trajectories were studied to collect the information about the nsp3 of CHIKV with and without screened compound and then, MM-GBSA calculations were performed to calculate change in binding free energies for the formation of complex. The aim of the work is to find the potential candidate as promising inhibitor against nsp3 of CHIKV.