Recent studies have pointed the role of angiotensin-converting enzyme-II (ACE2) in mediating the entry of SARS-CoV-2 to the host cell by binding to the receptor-binding domain (RBD) of viral spike protein, and successive priming by cellular proteases initiates the infection. SARS-CoV replication rate and disease severity is controlled by the binding affinity of RBD with ACE2. To understand, how mutations in the conserved residues of RBD affect the molecular interaction with ACE2, we generated five alanine mutants i.e. Y449A, N487A, Y489A, N501A and Y505A in the receptor binding motif (RBM) of the ACE2-RBD SARS-CoV-2 complex (PDB: 6M0J). Computational site directed mutagenesis induced dynamics in wild-type and mutant complexes were extensively studied through all-atoms molecular dynamics (MD) simulations of 150 ns. In silico mutational analysis revealed loss of important intermolecular hydrogen bonds and other non-bonded contacts, critical for molecular recognition of SARS-CoV-2 RBD to ACE2, which is well supported by saturation mutagenesis study of binding interface residues. MD simulations results showed that RBM motif is flexible, where mutant residues are relatively more mobile than corresponding wild-type residues. Global motion analysis through principal component studies revealed that RBD exhibits protuberant inward motion towards the human ACE2 binding interface which may be crucial for molecular interaction. Conclusively, the present finding are in congruence with previous experimental reports and provides detailed information on the structural basis of receptor binding by human SARS-CoV-2, which will crucial for the development of novel inhibitors or drugs to combat against SARS-CoV-2.

Pseudomonas aeruginosa , an ESKAPE pathogen causes many fatal clinical diseases in humans across the globe. Despite an increase in clinical instances of Pseudomonas infection, there is currently no effective vaccine or treatment available. The major membrane protein candidate of the P. aeruginosa bacterial cell is known to be a critical component for cellular bacterial susceptibility to antimicrobial peptides and survival inside the host organisms. Therefore, the current computational study aims to examine P. aeruginosa’s major membrane protein, OprF, and OprI, in order to design linear B-cell, cytotoxic T-cell, and helper T-cell peptide-based vaccine constructs. Utilizing various immune-informatics tools and databases, a total of two B-cells and twelve T-cells peptides were predicted. The final vaccine design was simulated to generate a high-quality three-dimensional structure, which included epitopes, adjuvant, and linkers. The vaccine was shown to be nonallergenic, antigenic, soluble, and had the best biophysical properties. The vaccine and Toll-like receptor 4 have a strong and stable interaction, according to protein-protein docking and molecular dynamics simulations. Additionally, in silico cloning was employed to see how the developed vaccine expressed in the pET28a (+) vector. Ultimately, an immune simulation was performed to see the vaccine efficacy. In conclusion, the newly developed vaccine appears to be a promising option for a vaccine against P. aeruginosa infection. Graphical Abstract Supplementary Information The online version contains supplementary material available at 10.1007/s10989-021-10356-z.

Enterococcus faecium is an emerging ESKAPE bacterium that is capable of causing severe public health complications in humans. There are currently no licensed treatments or vaccinations to combat the deadly pathogen. We aimed to design a potent and novel prophylactic chimeric vaccine against E. faecium through an immunoinformatics approach The antigenic Penicillin-binding protein 5 (PBP 5) protein was selected to identify B and T cell epitopes, followed by conservancy analysis, population coverage, physiochemical assessment, secondary and tertiary structural analysis. Using various immunoinformatics methods and tools, two linear B-cell epitopes, five CTL epitopes, and two HTL epitopes were finally selected for vaccine development. The constructed vaccine was determined to be highly immunogenic, cytokine-producing, antigenic, non-toxic, non-allergenic, and stable, as well as potentially effective against E. faecium. In addition, disulfide engineering, codon adaptation, and in silico cloning, were used to improve stability and expression efficiency in the host E. coli. Molecular docking and molecular dynamics simulations indicated that the structure of the vaccine is stable and has a high affinity for the TLR4 receptor. The immune simulation results revealed that both B and T cells had an increased response to the vaccination component. Conclusively, the in-depth in silico analysis suggests, the proposed vaccine to elicit a robust immune response against E. faecium infection and hence a promising target for further experimental trials.

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Optimizing microalgal biofuel production using metabolic engineering tools requires an in-depth understanding of the structure-function relationship of genes involved in lipid biosynthetic pathway. In the present study, genome-wide identification and characterization of 398 putative genes involved in lipid biosynthesis in Arabidopsis thaliana Chlamydomonas reinhardtii, Volvox carteri, Ostreococcus lucimarinus, Ostreococcus tauri and Cyanidioschyzon merolae was undertaken on the basis of their conserved motif/domain organization and phylogenetic profile. The results indicated that the core lipid metabolic pathways in all the species are carried out by a comparable number of orthologous proteins. Although the fundamental gene organizations were observed to be invariantly conserved between microalgae and Arabidopsis genome, with increased order of genome complexity there seems to be an association with more number of genes involved in triacylglycerol (TAG) biosynthesis and catabolism. Further, phylogenomic analysis of the genes provided insights into the molecular evolution of lipid biosynthetic pathway in microalgae and confirm the close evolutionary proximity between the Streptophyte and Chlorophyte lineages. Together, these studies will improve our understanding of the global lipid metabolic pathway and contribute to the engineering of regulatory networks of algal strains for higher accumulation of oil.