In Silico Pharmacology最新文献

Medicinally active compounds in the flavonoid class of phytochemicals are being studied for antiviral action against various DNA and RNA viruses. Quercetin is a flavonoid present in a wide range of foods, including fruits and vegetables. It is said to be efficient against a wide range of viruses. This research investigated the usefulness of Quercetin against Hepatitis C virus, Dengue type 2 virus, Ebola virus, and Influenza A using computational models. A molecular docking study using the online tool PockDrug was accomplished to identify the best binding sites between Quercetin and PubChem-based receptors. Network-pharmacological assay to opt to verify function-specific gene-compound interactions using STITCH, STRING, GSEA, Cytoscape plugin cytoHubba. Quercetin explored tremendous binding affinity against NS5A protein for HCV with a docking score of - 6.268 kcal/mol, NS5 for DENV-2 with a docking score of - 5.393 kcal/mol, VP35 protein for EBOV with a docking score of - 4.524 kcal/mol, and NP protein for IAV with a docking score of - 6.954 kcal/mol. In the network-pharmacology study, out of 39 hub genes, 38 genes have been found to interact with Quercetin and the top interconnected nodes in the protein-protein network were (based on the degree of interaction with other nodes) AKT1, EGFR, SRC, MMP9, MMP2, KDR, IGF1R, PTK2, ABCG2, and MET. Negative binding energies were noticed in Quercetin-receptor interaction. Results demonstrate that Quercetin could be a potential antiviral agent against these viral diseases with further study in in-vivo models.

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Supplementary information: The online version contains supplementary material available at 10.1007/s40203-022-00132-2.

Morinda citrifolia is a traditional plant used in Asian and African countries for its wide nutraceutical and therapeutic effects for the treatment of various ailments. The fruit of M. citrifolia has various biological properties such as anti-bacterial, anti-oxidant, anti-cancer. Using the molecular docking based investigation; we explored around twenty three bioactive phytochemicals in M. citrifolia fruit against human cancer. MAPK6 (mitogen-activated protein kinase 6) was selected as target protein and these twenty three phytochemicals along with a known MAPK6 inhibitor were docked against the target protein. The docking scores of the bioactive phytochemicals against MAPK6 protein range between - 4.5 kcal/mol to - 7.9 kcal/mol and the docking score of the standard drug (CID: 447077) was - 7.3 kcal/mol. Based on the binding affinity five phytochemicals asperuloside (- 6.7 kcal/mol), asperulosidic acid (- 7.2 kcal/mol), deacetylasperulosidic acid (- 7.0 kcal/mol), eugenol (- 6.8 kcal/mol) and rutin (- 7.9 kcal/mol) were chosen for further evaluation. These five compounds were further investigated through RC plot analysis, density function theory and ADMET properties. Stable linkage of protein-ligand interaction was observed through RC plot, density function theory showed the structural stability and reactivity of bioactive compounds through the energy gap between HOMO and LUMO and the ADMET (adsorption, distribution, metabolism, excretion and toxicity) studies showed the safety profile of the bioactive compounds. These in silico results support the utilization of M. citrifolia fruit in the traditional medication and the initiation for the development of new drug against human cancer through in vivo and in vitro evaluation.

Supplementary information: The online version contains supplementary material available at 10.1007/s40203-022-00130-4.

Despite the availability of COVID-19 vaccines, additional more potent vaccines are still required against the emerging variations of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). In the present investigation, we have identified a promising vaccine candidate against the Omicron (B.1.1.529) using immunoinformatics approaches. Various available tools like, the Immune Epitope Database server resource, and NetCTL-1.2, have been used for the identification of the promising T-cell and B-cell epitopes. The molecular docking was performed to check the interaction of TLR-3 receptors and validated 3D model of vaccine candidate. The codon optimization was done followed by cloning using SnapGene. Finally, In-silico immune simulation profile was also checked. The identified T-cell and B-cell epitopes have been selected based on their antigenicity (VaxiJen v2.0) and, allergenicity (AllerTOP v2.0). The identified epitopes with antigenic and non-allergenic properties were fused with the specific peptide linkers. In addition, the 3D model was constructed by the PHYRE2 server and validated using ProSA-web. The validated 3D model was further docked with the Toll-like receptor 3 (TLR3) and showed good interaction with the amino acids which indicate a promising vaccine candidate against the Omicron variant of SARS-CoV-2. Finally, the codon optimization, In-silico cloning and immune simulation profile was found to be satisfactory. Overall, the designed vaccine candidate has a potential against variant of SARS-Cov-2. However, further experimental studies are required to confirm.

The COVID-19 pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has become a global threat. Despite the production of various vaccines and different treatments, finding natural compounds to control COVID-19 is still a challenging task. Isoquinoline alkaloids are naturally occurring compounds known to have some potential antiviral activity. In this study, ten abundant isoquinoline alkaloids with antiviral activity were selected to analyze the preventive effect on COVID-19. A scrutinized evaluation based on Lipinski's rule showed that one out of ten compounds was toxic. Based on molecular docking analysis using Autodock software one of the best molecules with maximum negative binding energy was selected for further analysis. The Gromacs simulation analysis revealed that Coptisine has more action against active site M^pro of COVID-19. Overall, to make a rational design of various preventive analogues that inhibit the COVID-19, associated in vitro and in vivo analyses are needed to confirm this claim.

Anti-CD20 antibodies such as ofatumumab has demonstrated efficacy in relapsed/refractory chronic lymphocytic leukemia, are among the most successful therapies to date. In this study, we have designed an immunotoxin composed of Granzyme B and the high affinity variant of Ofatumumab. Different simulation software applied to explore the structure of Granzyme B, a serine protease in cytotoxic lymphocytes granules as an apoptosis mediator was attached to its specific antibody structure (Ofatumumab) via an adaptor sequence. The accuracy, energy minimization and characterization of biological properties of the final structure were evaluated. Our computational outcomes indicated that the employed method for structure prediction has been successfully managed to design the immunotoxin structure. The precise and accurate design of the immune-therapeutic agents against cancer cells can be confirmed by employment of in-silico approaches. Consequently, based on this approach we could introduce a capable immunotoxin which specifically targeting CD20 in an accurate orientation and initiates cancer cell destruction by its toxin domain.

Supplementary information: The online version contains supplementary material available at 10.1007/s40203-022-00120-6.

Overproduction of Nitric oxide (NO) and many other pro-inflammatory mediators are responsible for many pathological disorders in humans, including Alzheimer's disease (AD). In this study, active fractions isolated from Khaya grandifoliola (Kg) were screened for their inhibitory activities against NO production in lipopolysaccharide (LPS)-activated microglia. Among the 5 fractions tested, Kg25 was the most active and showed potent inhibitory activity towards NO production. The fraction further showed inhibitory effect on iNOS'^s mRNA expression and other major pro-inflammatory cytokines including TNFα and IL1-β. Study of the effect of Kg25 on p38MAPKinase and JNK3 showed that the fraction inhibits these signaling pathways known to be involved in cell inflammatory pathways. These observations were confirmed at the protein level with Kg25 inhibiting iNOS and p38MAPK protein expressions in N9 cells. Analysis of Kg25 composition by HPLC identified 3 main compounds, namely: 6 phenyl, 4-(1`oxyehylphenyl) hexane, Carbamic acid, (4-methly-1-phenyl)-1, phenyl, and Benzene, 1 1`-(oxydiethylidene) bis. The above mentionned compounds were further analyzed for their bioactivity against the p38MAPKinase and iNOS receptors using molecular docking. MolDock results showed that 1-phenylethyl N-(4-methylphenyl)carbamate (compound 2) possesses the highest binding affinity (for iNOS); and 1-(1-phenylethoxy)ethylbenzene (compound 3) (for pMAPK) respectively and both compounds interact well with the active site residues. Hence, these compounds could be considered as scaffolds for further development of lead- drugs targeting neuroinflammation in AD.

The present research scintillates on the homology modelling of rat mitochondrial protein tyrosine phosphatase 1 (PTPMT1) and targeting its activity using flavonoids through a computational docking approach. PTPMT1 is a dual-specificity phosphatase responsible for protein phosphorylation and plays a vital role in the metabolism of cardiolipin biosynthesis, insulin regulation, etc. The inhibition of PTPMT1 has also shown enhanced insulin levels. The three-dimensional structure of the protein is not yet known. The homology modelling was performed using SWISS-MODEL and Geno3D webservers to compare the efficiencies. The PROCHECK for protein modelled using SWISS-MODEL showed 91.6% of amino acids in the most favoured region, 0.7% residues in the disallowed region that was found to be significant compared to the model built using Geno3D. 210 common flavonoids were docked in the modelled protein using the AutoDock 4.2.6 along with a control drug alexidine dihydrochloride. Our results show promising candidates that bind protein tyrosine phosphatase 1, including, prunin (- 8.66 kcal/mol); oroxindin (- 8.56 kcal/mol); luteolin 7-rutinoside (- 8.47 kcal/mol); 3(2H)-isoflavenes (- 8.36 kcal/mol); nicotiflorin (- 8.29 kcal/mol), ranked top in the docking experiments. We predicted the pharmacokinetic and Lipinski properties of the top ten compounds with the lowest binding energies. To further validate the stability of the modelled protein and docked complexes molecular dynamics simulations were performed using Desmond, Schrodinger for 150 ns in conjunction with MM-GBSA. Thus, flavonoids could act as potential inhibitors of PTPMT1, and further, in-vitro and in-vivo studies are essential to complete the drug development process.

Sunitinib is a potent anti-cancer scaffold that acts as a VEGFR-2 inhibitor. Although the scaffold exhibits potent anti-cancer activity, it is cardiotoxic and also induces hypothyroidism. The current research aims to optimize the Sunitinib for cardio-toxicity and thyro-toxicity by scaffold hopping approach using the admetSAR server. The server has optimized the physico-chemical properties of Sunitinib, which were contributing to the cardiotoxicity and thyro-toxicity. The library of the optimized compounds was further screened by the molecular docking studies and results were validated by the MD simulation and DFT analysis for VEGFR-2 inhibition. Compounds 163 and 432 exhibited the highest affinity to VEGFR-2 receptor with minimal cardiotoxicity and thyro-toxicity. These two compounds could be the starting point for the further discovery of angiogenic inhibitors.

Supplementary information: The online version contains supplementary material available at 10.1007/s40203-022-00125-1.

Head and Neck Squamous Cell Carcinoma (HNSCC) is one of the most common form of cancer worldwide. It has high incidence and mortality rate making it one of the top causes of cancer related deaths. Tremendous efforts have being made towards treatment of HNSCC but still the overall survival rate hasn't improved much. Unregulated activation of Rho GTPase Ras-related C3 botulinum toxin substrate 1 or Rac1 has been reported in various tumor such as HNSCC, breast cancer, pancreatic cancer, etc. Rac1 is significant in activation and regulation of multiple signaling pathways and it's aberrant activation leads to uncontrolled proliferation, invasion and metastasis which contributes to the hallmarks of cancer. Therefore for treating proliferative disorders such as cancer, inhibition of Rac1 could be a viable approach. Rho GTPases were earlier considered "undruggable" due to their picomolar binding affinity for their guanine nucleotides. In addition presence of high micromolar concentrations of GDP (> 30 μm) and GTP (> 300 μm) in the cell, led to unsuccessful attempts in identification of potent or selective nucleotide competitive GTPase inhibitors. Therefore we identified small molecule inhibitors that target the GEF binding site of the Rho GTPase instead of nucleotide binding site by performing high throughput screening, molecular dynamics simulations, free energy calculations and protein-ligand interaction studies. As a result of this study, we identified four potential inhibitors against RAC1. This study provides a significant in-depth understanding of the Rho GTPases and can prove beneficial in the development of potential therapeutics against HNSCC.