Synthesis and In Silico Study of Some New bis-[1,3,4]thiadiazolimines and bis-Thiazolimines as Potential Inhibitors for SARS-CoV-2 Main Protease.

A novel series of bis-[1,3,4]thiadiazolimines, and bis-thiazolimines, with alkyl linker, were synthesized through general routes from cyclization of 1,1'-(hexane-1,6-diyl)bis(3-phenylthiourea) and hydrazonoyl halides or α-haloketones, respectively. Docking studies were applied to test the binding affinity of the synthesized products against the Mpro of SARS-CoV-2. The best compound, 5h, has average binding energy (-7.50 ± 0.58 kcal/mol) better than that of the positive controls O6K and N3 (-7.36 ± 0.34 and -6.36 ± 0.31 kcal/mol). Additionally, the docking poses (H-bonds and hydrophobic contacts) of the tested compounds against the Mpro using the PLIP web server were analyzed.

The anti-HCV, Sofosbuvir, versus the anti-EBOV Remdesivir against SARS-CoV-2 RNA dependent RNA polymerase in silico.

Coronavirus diseases 2019 (COVID-19) are seriously affecting human health all over the world. Nucleotide inhibitors have promising results in terms of its efficacy against different viral polymerases. In this study, detailed molecular docking and dynamics simulations are used to evaluate the binding affinity of a clinically approved drug, sofosbuvir, with the solved structure of the viral protein RNA-dependent RNA polymerase (RdRp) and compare it to the clinically approved drug, Remdesivir. These drugs are docked onto the three-dimensional structure of the nsp12 protein of SARS-CoV-2, which controls the polymerization process. Hence, it is considered one of the primary therapeutic targets for coronaviruses. Sofosbuvir is a drug that is currently used for HCV treatment; therefore, HCV RdRp is used as a positive control protein target. The protein dynamics are simulated for 100 ns, while the binding is tested during different dynamics states of the SARS-CoV-2 RdRp. Additionally, the drug-protein complexes are further simulated for 20 ns to explore the binding mechanism. The interaction of SARS-CoV-2 RdRp as a target with the active form of sofosbuvir as a ligand demonstrates binding effectiveness. One of the FDA-approved antiviral drugs, such as sofosbuvir, can help us in this mission, aiming to limit the danger of COVID-19. Sofosbuvir was found to bind nsp12 with comparable binding energies to that of Remdesivir, which has been reported for its potential against COVID-19 RdRp and is currently approved by the FDA.

Potential antiviral properties of antiplatelet agents against SARS-CoV-2 infection: an in silico perspective.

SARS-CoV-2 represents the causative agent of the current pandemic (COVID-19). The drug repurposing technique is used to search for possible drugs that can bind to SARS-CoV-2 proteins and inhibit viral replication. In this study, the FDA-approved antiplatelets are tested against the main protease and spike proteins of SARS-CoV-2 using in silico methods. Molecular docking and molecular dynamics simulation are used in the current study. The results suggest the effectiveness of vorapaxar, ticagrelor, cilostazol, cangrelor, and prasugrel in binding the main protease (Mpro) of SARS-CoV-2. At the same time, vorapaxar, ticagrelor, and cilostazol are the best binders of the spike protein. Therefore, these compounds could be successful candidates against COVID-19 that need to be tested experimentally.

Target-filter combination effects on breast tissue characterization using mammographic X-rays: A Monte Carlo simulation study.

BACKGROUND: Characterization of normal and malignant breast tissues using X-ray scattering techniques has shown promising results and applications. OBJECTIVE: To examine possibility of characterizing normal and malignant breast tissues using the scattered photon distribution of polyenergetic beams of 30 kV X-rays. METHODS: A Monte Carlo simulation is upgraded so that it is capable of simulating input mammographic X-ray spectra from different target-filter combinations, tracing photon transport, and producing the distribution of scattered photons. The target-filter combinations include Mo-Mo, Mo-Al, Mo-Rh, Rh-Rh, Rh-Al, W-Rh, and W-Al. Analysis of obtained scattered photon distribution is carried out by comparing the ratio of count under the peak in the momentum transfer region from 0 to 1.55 nm-1, to that in the region from 1.6 to 9.1 nm-1 (covering the regions of scattering from fat and soft tissue, respectively) for breast samples with different percentages of normal tissue (0-100%). RESULTS: Mo-Mo target-filter combination shows a high linear dependence of the count under peak ratio on the percentage of normal tissue in breast samples (R2 = 0.9513). Despite slightly less linear than Mo-Mo, target-filter combinations other than Rh-Rh, W-Rh, and W-Al produce high linear responses (R2 > 0.9)CONCLUSION:Mo-Mo target-filter combination would probably be the most relevant in characterizing normal and malignant breast tissues from their scattered photon distribution.

Recognition through GRP78 is enhanced in the UK, South African, and Brazilian variants of SARS-CoV-2; An in silico perspective.

New SARS-CoV-2 variants emerged in the United Kingdom and South Africa in December 2020 in concomitant with the Brazillian variant in February 2021 (B.1.1.248 lineage) and currently sparking worldwide during the last few months. The new strain 501.V2 in South Africa bears three mutations in the spike receptor-binding domain (RBD); K417 N, E484K, and N501Y, while the Brazilian B.1.1.248 lineage has 12 mutations. In the current study, we simulate the complex ACE2-SARS-CoV-2 spike RBD system in which the RBD is in the wild-type and mutated isoforms. Additionally, the cell-surface Glucose Regulated Protein 78 (CS-GRP78) associated with the ACE2-SARS-CoV-2 spike RBD complex (ACE2-S RBD) is modeled at the presence of these mutant variants of the viral spike. The results showed that E484K and N501Y are critical in viral spike recognition through either ACE2 or CS-GRP78. The mutated variants (the UK, South African, and Brazilian) of the spike RBD tightly bind to GRP78 more than in the case of the wild-type RBD. These results point to the potent role of GRP78 with ACE2 in the attachment of the new variants, which could be a key for the design of inhibitors to block SARS-CoV-2 attachment and entry to the host cell.

COVID-19 and Cell Stress.

The present century will undoubtedly be marked with the COVID-19 global health crisis. It is not time yet to talk about the total number of deaths and hospitalizations, as they are enormously growing daily. Understanding the nature of COVID-19-induced pneumonia is vital in order to deal with the associated health complications. Cell stress is an established mechanism known to be associated with infection and cancer. Different proteins crucial for cellular response to stress are reported to be a possible target to stop the infection and to reduce the chemo-resistance in cancer. Heat shock protein (HSP) families of chaperones play an essential role in cells both in normal state and under stress. The upregulation of HSP5A, also termed GRP78 or Bip, is reported in different viral infections. This chapter introduces the current knowledge about severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which has caused the COVID-19 pandemic, and cell stress aimed at defining possible strategies to combat the COVID-19 pandemic.

A Review of Human Coronaviruses' Receptors: The Host-Cell Targets for the Crown Bearing Viruses.

A novel human coronavirus prompted considerable worry at the end of the year 2019. Now, it represents a significant global health and economic burden. The newly emerged coronavirus disease caused by the severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) is the primary reason for the COVID-19 global pandemic. According to recent global figures, COVID-19 has caused approximately 243.3 million illnesses and 4.9 million deaths. Several human cell receptors are involved in the virus identification of the host cells and entering them. Hence, understanding how the virus binds to host-cell receptors is crucial for developing antiviral treatments and vaccines. The current work aimed to determine the multiple host-cell receptors that bind with SARS-CoV-2 and other human coronaviruses for the purpose of cell entry. Extensive research is needed using neutralizing antibodies, natural chemicals, and therapeutic peptides to target those host-cell receptors in extremely susceptible individuals. More research is needed to map SARS-CoV-2 cell entry pathways in order to identify potential viral inhibitors.

Recognition of gluconeogenic enzymes; Icl1, Fbp1, and Mdh2 by Gid4 ligase: A molecular docking study.

The pro/N-degron pathway is an evolved protein degradation pathway through the ubiquitin-proteasome system. It is a vital pathway to attain protein homeostasis inside the liver cells with varying glucose levels. N-terminal proline exists in more than 300 proteins in Saccharomyces cerevisiae, but only three of them are the gluconeogenic enzymes; isocitrate lyase (Icl1), fructose-1,6-bisphosphatase (Fbp1), and malate dehydrogenase (Mdh2). The present in silico study aims to structurally illustrate the binding of Icl1 enzyme to Gid4 ligase concerning its peers; Fbp1 and Mdh2. Based on the molecular docking scores and interactions, one can attribute the binding stability of Gid4 with degrons, to peptides of length six up to eight from the N-terminal. Moreover, the percent change in the docking score provides a rationale for the unique Gid4-Icl11-4 interaction. The present study provides insights on the binding attitude of Gid4 ligase to degrons of different lengths, so one will consider in designing peptidomimetics to target Gid4 ligase.

Recognition of the gluconeogenic enzyme, Pck1, via the Gid4 E3 ligase: An in silico perspective.

Gluconeogenesis, the reverse process of glycolysis, is a favorable mechanism at conditions of glucose deprivation. Pck1 is a rate-limiting gluconeogenic enzyme, where its deficiency or mutation contributes to serious clinical situations as neonatal hypoglycemia and liver failure. A recent report confirms that Pck1 is a target for proteasomal degradation through its proline residue at the penultimate position, recognized by Gid4 E3 ligase, but with a lack of informative structural details. In this study, we delineate the localized sequence motif, degron, that specifically interact with Gid4 ligase and unravel the binding mode of Pck1 to the Gid4 ligase by using molecular docking and molecular dynamics. The peptide/protein docking HPEPDOCK web server along with molecular dynamic simulations are applied to demonstrate the binding mode and interactions of a Pck1 wild type (SPSK) and mutant (K4V) with the recently solved structure of Gid4 ligase. Results unveil a distinct binding mode of the mutated peptide compared with the wild type despite having comparable binding affinities to Gid4. Moreover, the four-residue peptide is found insufficient for Gid4 binding, while the seven-residue peptide suffices for binding to Gid4. The amino acids S134, K135, and N137 in the loop L1 (between ß1 and ß2) of the Gid4 are essential for the stabilization of the seven-residue peptide in the binding site of the ligase. The presence of Val4 instead of Lys4 smashes the H-bonds that are formed between Lys4 and Gid4 in the wild type peptide, making the peptide prone to bind with the other side of the binding pocket (L4 loop of Gid4). The dynamics of Gid4 L3 loop is affected dramatically once K4V mutant Pck1 peptide is introduced. This opens the door to explore the mutation effects on the binding mode and smooth the path to target protein degradation by design competitive and non-competitive inhibitors.

Human papillomavirus E6: Host cell receptor, GRP78, binding site prediction.

Human papillomavirus (HPV) is the main cervical cancer-promoting element that is transmitted through sexual routes. Anal, head, and throat cancers are also reported to be accompanied by HPV infection. E6 is one of the HPV nonstructural proteins, which is responsible for cell differentiation by targeting tumor suppressor genes, p105Rb and p53. E6 was reported to be stabilized by two chaperone proteins; glucose-regulated protein 78 (GRP78) and heat shock protein 90. GRP78 is responsible for the unfolded protein response of the cells, and it was reported to be upregulated in many cancers, including cervical cancer. It was reported that knocking out GRP78 destabilizes E6 leading to faster degradation of E6 in vivo. The current work predicts the possible binding mode between E6 and GRP78 based on sequence and structural similarities.

Novel guanosine derivatives against Zika virus polymerase in silico.

The Zika virus (ZIKV) outbreak, which started in the year 2015, is considered the fastest and most widely spread outbreak reported for this flavivirus. The polymerase domain of the NS5 protein has been targeted in other viral infections and is recognized as a suitable target in ZIKV infection. Different novel modified compounds against ZIKV NS5 have been tested in silico. A few structures have been solved for ZIKV polymerase and deposited in the protein data bank website. Two of these solved structures (with a resolution of less than 1.9 A) are used in this study to test the binding of 74 novel compounds in silico. Molecular docking is used to quantify the binding affinities of ZIKV polymerase and compare it to the hepatitis C virus NS5B. A total of 19 novel compounds revealed results that are either similar to or better than the physiological molecule, guanosine triphosphate. Water molecules are found to facilitate the binding of the compounds to ZIKV RNA-dependent RNA polymerase (RdRp) structures. The presented 19 novel compounds represent good binders to ZIKV RdRp and could be suitable candidates for developing a new and effective anti-ZIKV polymerase nucleotide inhibitor.

Clean Grinding Technique: A Facile Synthesis and In Silico Antiviral Activity of Hydrazones, Pyrazoles, and Pyrazines Bearing Thiazole Moiety against SARS-CoV-2 Main Protease (Mpro).

A novel series of some hydrazones bearing thiazole moiety were generated via solvent-drop grinding of thiazole carbohydrazide 2 with various carbonyl compounds. Also, dehydrative-cyclocondensation of 2 with active methylene compounds or anhydrides gave the respective pyarzole or pyrazine derivatives. The structures of the newly synthesized compounds were established based on spectroscopic evidences and their alternative syntheses. Additionally, the anti-viral activity of all the products was tested against SARS-CoV-2 main protease (Mpro) using molecular docking combined with molecular dynamics simulation (MDS). The average binding affinities of the compounds 3a, 3b, and 3c (-8.1 ± 0.33 kcal/mol, -8.0 ± 0.35 kcal/mol, and -8.2 ± 0.21 kcal/mol, respectively) are better than that of the positive control Nelfinavir (-6.9 ± 0.51 kcal/mol). This shows the possibility of these three compounds to effectively bind to SARS-CoV-2 Mpro and hence, contradict the virus lifecycle.

Molecular dynamics simulation revealed binding of nucleotide inhibitors to ZIKV polymerase over 444 nanoseconds.

In the year 2015, new Zika virus (ZIKV) broke out in Brazil and spread away in more than 80 countries. Scientists directed their efforts toward viral polymerase in attempt to find inhibitors that might interfere with its function. In this study, molecular dynamics simulation (MDS) was performed over 444 ns for a ZIKV polymerase model. Molecular docking (MD) was then performed every 10 ns during the MDS course to ensure the binding of small molecules to the polymerase over the entire time of the simulation. MD revealed the binding ability of four suggested guanosine inhibitors (GIs); (Guanosine substituted with OH and SH (phenyl) oxidanyl in the 2' carbon of the ribose ring). The GIs were compared to guanosine triphosphate (GTP) and five anti-hepatitis C virus drugs (either approved or under clinical trials). The mode of binding and the binding performance of GIs to ZIKV polymerase were found to be the same as GTP. Hence, these compounds were capable of competing GTP for the active site. Moreover, GIs bound to ZIKV active site more tightly compared to ribavirin, the wide-range antiviral drug.

In silico estrogen-like activity and in vivo osteoclastogenesis inhibitory effect of Cicer arietinum extract.

Postmenopausal osteoporosis is a common disorder accompanied with estrogen deficiency in women. Plants containing phytoestrogens and amino acids have been used in the osteoporosis treatment. The present study aims to evaluate the estrogen-like activity of the Cicer arietinum extract (CAE) and its ability to inhibit osteoclastogenesis process. These achieved by investigating the binding of its active phytoestrogens (genistein, daidzein, formononetin and biochanin A) to the estrogen receptors (ER) α and ß of rats and human in silico. In addition, in vivo study on ovariectomized (OVX) rats is performed. For in vivo study, twenty four rats were divided into four groups (n= 6). Group I is the sham control rats which administered distilled water. Groups II, III, and IV are OVX groups which administered distilled water, CAE (500 mg/kg), and alendronate; respectively. The docking study revealed that the phytoestrogens docked into the protein active site with binding energies comparable with that of estrogens (estriol and ß-estradiol) which means the similarity between the estrogenic contents of CAE and the ensogenous ones. Additionally, in vivo study revealed that CAE reverse TRAP5b and RANKL levels that drastically increased in the untreated OVX group. But, it trigger upregulation of OPG, enhance the OPG/RANKL ratio and modulate the bone and uterus alterations of OVX group. Phytoestrogens and the bone-protective amino acids contents of CAE could be responsible for their estrogen-like effect and antiosteoporotic activity. These results concluded that CAE is an attractive candidate for developing a potential therapeutic cheap agent used as an alternative to the synthetic estrogen replacement therapy. Further, in vivo validation is required for its clinical application.

Quantitative structure-activity relationship and molecular docking revealed a potency of anti-hepatitis C virus drugs against human corona viruses.

A number of human coronaviruses (HCoVs) were reported in the last and present centuries. Some outbreaks of which (eg, SARS and MERS CoVs) caused the mortality of hundreds of people worldwide. The problem of finding a potent drug against HCoV strains lies in the inability of finding a drug that stops the viral replication through inhibiting its important proteins. In spite of its limited efficacy and potential side effects, Ribavirin is extensively used as a first choice against HCoVs. Therefore, scientists reverted towards the investigation of different drugs that can more specifically target proteins. In this study, four anti-HCV drugs (one approved by FDA and others under clinical trials) are tested against HCoV polymerases. Quantitative Structure-Activity Relationship (QSAR) and molecular docking are both used to compare the performance of the selected nucleotide inhibitors to their parent nucleotides and Ribavirin. Both QSAR and molecular docking showed that IDX-184 is superior compared to Ribavirin against MERS CoV, a result that was also reported for HCV. MK-0608 showed a performance that is comparable to Ribavirin. We strongly suggest an in vitro study on the potency of these two drugs against MERS CoV.

Zika viral polymerase inhibition using anti-HCV drugs both in market and under clinical trials.

In the last few months, a new Zika virus (ZIKV) outbreak evolved in America. In accordance, World Health Organization (WHO) in February 2016 declared it as Public Health Emergency of International Concern (PHEIC). ZIKV infection was reported in more than 60 countries and the disease was spreading since 2007 but with little momentum. Many antiviral drugs are available in market or in laboratories under clinical trials, could affect ZIKV infection. In silico docking study were performed on the ZIKV polymerase to test some of Hepatitis C Virus (HCV) drugs (approved and in clinical trials). The results show potency of almost all of the studied compounds on ZIKV polymerase and hence inhibiting the propagation of the disease. In addition, the study suggested two nucleotide inhibitors (IDX-184 and MK0608) that may be tested as drugs against ZIKV infection. J. Med. Virol. 88:2044-2051, 2016. © 2016 Wiley Periodicals, Inc.

IDX-184 is a superior HCV direct-acting antiviral drug: a QSAR study.

ABSTRACT: Quantitative structure-activity relationship (QSAR) parameters are good indicators for the reactivity of direct-acting antiviral drugs. Since molecular structure is related to molecular function, careful selection of molecular substitutions will result in more drugs that are potent. In this work, QSAR parameters are selected in order to compare the four drugs used as nucleotide inhibitors (NIs) for non-structural 5B (NS5B) RNA-dependent RNA polymerase (RdRp) of hepatitis C virus (HCV). These drugs are: ribavirin (widely used over the last 20 years), sofosbuvir (approved on December 2013 by FDA), and finally IDX-184 and R7128 (phase IIb of clinical trial drugs). The nucleotide analogues uracil (U), guanine (G), and cytosine (C) from which these drugs are fabricated are also compared to that group of drugs. QSAR parameters suggested that the drug IDX-184 is the best among all of the studied NIs. It also shows that NIs are always more reactive than their parent nucleotide. GRAPHICAL ABSTRACT: The active site environment of 12 amino acids coordinated with IDX-184 through two Mg2+. The interaction with HCV subtypes 1a, 2b, and 3b is better than 4a subtype.

Prediction of the binding location between the nuclear inhibitor of DNA binding and differentiation 2 (ID2) and HSPA5.

Glucose-regulated protein 78 (GRP78), also termed HSPA5, was widely studied in cancer. It was recently approved that GRP78 has nuclear localization potential that sheds light on its role in cancer development. The inhibitor of DNA binding and differentiation 2 (ID2) is the nuclear component that associates with GRP78. The interaction between these two proteins is not understood clearly. In the current study, the binding pattern of GRP78/ID2 is predicted using computational methods. Protein-protein docking is used along with molecular dynamics simulation. The substrate binding domain ß of GRP78 can stably interact with the loop region (C42-S60) of ID2 as predicted in this study. This paves the way for a possible destabilizer for this association and cancer eradication.

In silico targeting of SARS-CoV-2 spike receptor-binding domain from different variants with chaga mushroom terpenoids.

Terpenoids from the chaga mushroom have been identified as potential antiviral agents against SARS-CoV-2. This is because it can firmly bind to the viral spike receptor binding domain (RBD) and the auxiliary host cell receptor glucose-regulated protein 78 (GRP78). The current work examines the association of the chaga mushroom terpenoids with the RBD of various SARS-CoV-2 variants, including alpha, beta, gamma, delta, and omicron. This association was compared to the SARS-CoV-2 wild-type (WT) RBD using molecular docking analysis and molecular dynamics modeling. The outcomes demonstrated that the mutant RBDs, which had marginally greater average binding affinities (better binding) than the WT, were successfully inhibited by the chaga mushroom terpenoids. The results suggest that the chaga mushroom can be effective against various SARS-CoV-2 variants by targeting both the host-cell surface receptor GRP78 and the viral spike RBD.Communicated by Ramaswamy H. Sarma.

Tepotinib and tivantinib as potential inhibitors for the serine/threonine kinase of the mpox virus: insights from structural bioinformatics analysis.

The serine/threonine kinase (STK) plays a central role as the primary kinase in poxviruses, directing phosphoryl transfer reactions. Such reactions are pivotal for the activation of certain proteins during viral replication, assembly, and maturation. Therefore, targeting this key protein is anticipated to impede virus replication. In this work, a structural bioinformatics approach was employed to evaluate the potential of drug-like kinase inhibitors in binding to the ATP-binding pocket on the STK of the Mpox virus. Virtual screening of known kinase inhibitors revealed that the top 10 inhibitors exhibited binding affinities ranging from -8.59 to -12.05 kcal/mol. The rescoring of compounds using the deep-learning default model in GNINA was performed to predict accurate binding poses. Subsequently, the top three inhibitors underwent unbiased molecular dynamics (MD) simulations for 100 ns. Molecular Mechanics/Generalized Born Surface Area (MM/GBSA) analysis and Principal Component Analysis (PCA) suggested tepotinib as a competitive inhibitor for Mpox virus STK as evidenced by its binding free energy and the induction of similar conformational behavior of the enzyme. Nevertheless, it is sensible to experimentally test all top 10 compounds, as scoring functions and energy calculations may not consistently align with experimental findings. These insights are poised to provide an attempt to identify an effective inhibitor for the Mpox virus.Communicated by Ramaswamy H. Sarma.