Molecular interaction and MD-simulations: investigation of Sizofiran as a promising anti-cancer agent targeting eIF4E in colorectal cancer.

CRC has a major global health impact due to high mortality rates. CRC shows high expression of eukaryotic translation initiation factor (eIF4E) protein, the rapid development of lung, bladder, colon, prostate, breast, head, and neck cancer is attributed to the dysregulation of eIF4E making an important target for treatment. Targeting eIF4E-mediated translation is a promising anti-cancer strategy. Many organic compounds that inhibit eIF4E are being studied clinically. The compound Sizofiran has emerged as a promising eIF4E inhibitor candidate, but its exact mechanism of action is unclear. In an effort to close this discrepancy by clarifying the mechanism of the interactions between phytochemical substances and eIF4E, molecular docking and dynamics studies were conducted. Molecular docking studies found Sizofiran (- 12.513 kcal/mol) has the most affinity eIF4E binding energy out of 93 phytochemicals, 5 current drugs, and 4 known inhibitors. This positions it as a top eIF4E inhibitor candidate. An alignment of eIF4E protein sequences from multiple pathogens revealed that the glutamate103 interacting residues are evolutionarily conserved across the different eIF4E proteins. Further insights from 100 ns of MD simulations supported Sizofiran having superior stability and eIF4E inhibition compared to reference compounds. Designed Sizofiran-related compounds showed better activity than the current drugs such as Camptosar, Sorafenib, Regorafenib, Doxorubicin, and Kenpaullone, indicating strong potential to suppress CRC progression by targeting eIF4E. This research aims to significantly aid development of improved eIF4E-targeting drugs for cancer treatment. Graphical abstract: Showing the Graphical abstract of the complete study. Supplementary Information: The online version contains supplementary material available at 10.1007/s40203-024-00206-3.

Structural investigation of APRs to improve the solubility of outer membrane protease (PgtE) from Salmonella enterica serotype typhi- A multi-constraint approach.

Outer membrane proteins were playing a crucial role on the several functions controlled by cell membranes even though they are not naturally expressed at higher levels. In order to obtain biologically active protein, the denaturation of these inclusion bodies must be optimized using chaotropic agents. Hence, this study focuses on improving the yield of Outer Membrane Protease (PgtE) from Salmonella enterica serotype Typhi (S. Typhi) using chaotropes and additives. Denaturation methods were tried with various pH, detergents, and reducing agents were used to optimize the solubility of PgtE with biologically active form. Due to the aggregation, we failed to achieve the maximum yield of PgtE. Consequently, we predicted 9 Aggregation Prone Regions (APRs) in PgtE, which are mutated by known structural Gatekeepers. We calculated the Aggregation Index (AI) of PgtE with 10 mM of aspartic acid as an additive in optimized buffer. In addition, the mutations at specific positions within the protein structure can act as APRs suppressors without affecting protein stability with CABS flex dynamics. The multiple sequence analysis demonstrate that aspartic acid is appropriate denaturing additive for other Gram-negative pathogens of Omptin family.

In Silico Characterization of B Cell and T Cell Epitopes for Subunit Vaccine Design of Salmonella typhi PgtE: A Molecular Dynamics Simulation Approach.

Typhoid fever is an acute illness in humans, caused by Salmonella typhi, a gram-negative bacterium. Outer membrane proteins of S. typhi have strong potential for its use in the development of subunit vaccine against typhoid. In the current study, peptide-based subunit vaccine was constructed from outer membrane protease E (PgtE) against S. typhi. B cell and T cell epitopes were identified at fold level with a validated three-dimensional modeled structure. T cell epitopes from PgtE (IHPDTSANY) have 99.5% binding to a maximum number of major histocompatibility complex class I and class II alleles. They also bind to the typhoid-resistant human leukocyte antigen (HLA) alleles DRB1*0401. PgtE epitopes were docked with HLA-DR4 (PDB ID: 1D5M) and a contact map was constructed. A simulation search for the binding site for full flexibility of the peptide from CABS- (Cα, Cß, side-chain)-dock shows stable interactions. Molecular dynamics simulation studies revealed that the PgtE-epitope complex structure was more stable throughout the simulation (20 ns) and interaction did not change the radius of gyration. In conclusion, computational analysis, molecular docking, and molecular dynamics (MD) simulation of PgtE-epitope complex were used to elucidate the binding mode, and the dynamical changes of epitopes were more suitable for vaccine development against typhoid.

B-cell and T-cell epitope identification with stability analysis of AI-2 import ATP-binding cassette LsrA from S. typhiIn silico approach.

Typhoid fever is a severe illness in humans, caused by Salmonella typhi, a Gram-negative bacterium. Membrane proteins of S. typhi have strong potential for its use in development of subunit vaccine against typhoid. In current study, peptide-based subunit vaccine constructed from AI-2 import ATP-binding cassette transporter protein (LsrA) against S. typhi. B-cell and T-cell epitopes were identified at fold level with validated 3-D theoretical modelled structure. T-cell epitope from LsrA (LELPGSRPQ) has binds to maximum number (82.93%) of MHC class I and class II alleles. LsrA epitope was docked with HLA-DR4 and contact map were constructed to analyze molecular interaction (docking) studies. Simulation search for the binding site for full flexibility of the peptide from CABS-dock shows the stable interactions. MD simulation analysis reveals that LsrA epitope was binding and interacting firmly with the HLA-DR4. Hence, we are proposing that LsrA epitope would be a prominent epitope vaccine for human specific pathogen of S. typhi, which requires further steps to be elevated as a vaccine drug in near future.

Pesticide degrading natural multidrug resistance bacterial flora.

Multidrug-resistant (MDR) bacteria are a growing threat to humans across the world. Antibiotic resistance is a global problem that has developed through continuous antibiotic use, combinatorial antibiotic use, pesticide-antibiotic cross-resistance, and horizontal gene transfer, as well as various other modes. Pesticide-antibiotic cross-resistance and the subsequent expansion of drug-resistant bacteria are critically documented in this review, the primary focus of which is to assess the impact of indiscriminate pesticide use on the development of microbial communities with parallel pesticide and multidrug resistance. The consumption of pesticide-contaminated food products and the use of broad-spectrum antibiotics by humans and in livestock animals have favored the development of both antibiotic and pesticide-resistant bacterial flora via natural selection. Pesticide resistance mainly develops through defensive bacterial adaptations such as biofilm formation, induced mutations, and horizontal/vertical gene transfer through plasmids or transposons, as well as through the increased expression of certain hydrolytic enzymes. Pesticide resistance genes are always transferred as gene clusters, and they may also carry genes essential for antibiotic resistance. Moreover, for some induced mutations, the mutated active site of the affected enzyme may allow degradation of both pesticides and antibiotics, resulting in cross-resistance. A few studies have shown that the sub-lethal exposure of wild-type strains to herbicides induces antibiotic resistance. This review concludes that xenobiotic exposure leads to cross-resistance in wild microbial flora, which requires further study to develop therapeutic approaches to overcome the threats of MDR bacteria and superbugs.