Molecular docking analysis of 2009-H1N1 and 2004-H5N1 influenza virus HLA-B*4405-restricted HA epitope candidates: implications for TCR cross-recognition and vaccine development

Antiviral compound screening, peptide designing, and protein network construction of influenza a virus (strain a/Puerto Rico/8/1934 H1N1)

Plant-based antiviral therapy is the current need for holistic health care management, which can be achieved through screening of phytochemicals and designing of antiviral peptides. There exist certain host's factors which are directly involved for rapid viral replication causing worldwide pandemic. A total of 177 phytochemicals from Ocimum sanctum (L.), Tinospora cordifolia (Thunb.) Miers, Cinnamomum camphora (L.) J. Presl., Allium sativum (L.), Curcuma longa (L.), and Aloe vera (L.) Burm. f. were evaluated for their affinity to all viral proteins of H1N1. Applying drug filters and keeping the threshold of such filters relative to the standards, 82 compounds were found suitable for further analysis. Consensus scoring system was used for screening top ligands from 82 compounds, which screened the top 12 compounds. Highly conserved regions (>80%) which were hydrophilic, flexible, antigenic, and also charged were screened out as potent antiviral peptides. The viral proteins were taken as the targets for the modeled peptides for protein-protein docking. Further, host-pathogen interacting network was constructed to unveil host factors involved in viral replication, from which unique protein clusters representing their involvement in viral reproduction were selected through mapping with pathway databases. Twelve compounds and five peptides were found to be highly effective against all the proteins of H1N1. Based on the uniqueness, 13 clusters of proteins were obtained which are engaged in cellular process, namely, viral reproduction, fructose-6-phosphate metabolism, nitrogen compound metabolism, biosynthesis, cellular process, oligodendrocyte development, localization, multiorganism process, primary metabolism, response to unfolded protein, metabolism, and response to protein and catabolism.

Molecular dynamics, monte carlo simulations, and langevin dynamics: a computational review

Macromolecular structures, such as neuraminidases, hemagglutinins, and monoclonal antibodies, are not rigid entities. Rather, they are characterised by their flexibility, which is the result of the interaction and collective motion of their constituent atoms. This conformational diversity has a significant impact on their physicochemical and biological properties. Among these are their structural stability, the transport of ions through the M2 channel, drug resistance, macromolecular docking, binding energy, and rational epitope design. To assess these properties and to calculate the associated thermodynamical observables, the conformational space must be efficiently sampled and the dynamic of the constituent atoms must be simulated. This paper presents algorithms and techniques that address the abovementioned issues. To this end, a computational review of molecular dynamics, Monte Carlo simulations, Langevin dynamics, and free energy calculation is presented. The exposition is made from first principles to promote a better understanding of the potentialities, limitations, applications, and interrelations of these computational methods.

In silico analysis of MHC-I restricted epitopes of Chikungunya virus proteins: Implication in understanding anti-CHIKV CD8(+) T cell response and advancement of epitope based immunotherapy for CHIKV infection

Chikungunya virus (CHIKV) is a mosquito-borne Alphavirus, responsible for acute febrile infection. The high morbidity and socio-economic loss associated with the recent CHIKV epidemics worldwide have raised a great public health concern and emphasize the need to study the immunological basis of CHIKV infection to control the disease. MHC-I restricted CD8(+) T cell response represent one of the major anti-viral immune responses. Accordingly, it is essential to have a detailed understanding towards CHIKV specific MHC-I restricted immunogenic epitopes for anti-viral CD8(+) CTL immunogenicity. In the present study, a computational approach was used to predict the conserved MHC-I epitopes for mouse haplotypes (H2-Db and H2-Dd) and some alleles of the major HLA-I supertypes (HLA-A2, -A3, -A24, -B7, -B15) of all CHIKV proteins. Further, an in-depth computational analysis was carried out to validate the selected epitopes for their nature of conservation in different global CHIKV isolates to assess their binding affinities to the appropriate site of respective MHC-I molecules and to predict anti-CHIKV CD8(+) CTL immunogenicity. Our analyses resulted in fifteen highly conserved epitopes for H2-Db and H2-Dd and fifty epitopes for different HLA-I supertypes. Out of these, the MHC-I epitopes VLLPNVHTL and MTPERVTRL were found to have highest predictable CTL immunogenicities and least binding energies for H2-Db and H2-Dd, whereas, for HLA-I, the epitope FLTLFVNTL was with the highest population coverage, CTL immunogenicity and least binding energy. Hence, our study has identified MHC-I restricted epitopes that may help in the advancement of MHC-I restricted epitope based anti-CHIKV immune responses against this infection and this will be useful towards the development of epitope based anti-CHIKV immunotherapy in the future. However, further experimental investigations for cross validation and evaluation are warranted to establish the ability of epitopes to induce CD8(+) T cell mediated immune responses.

Towards a better understanding of the novel avian-origin H7N9 influenza A virus in China

Recently, a highly dangerous bird flu has infected over 130 patients in China, and the outbreak was attributed to a novel avian-origin H7N9 virus. Here, we performed a systematic analysis of the virus. We clarified the controversial viewpoint on neuraminidase (NA) origin and confirmed it was reassorted from Korean wild birds with higher confidence, whereas common ancestors of pathogenic H7N9 genes existed only one or two years ago. Further analysis of NA sequences suggested that most variations are not drug resistant and current drugs are still effective for the therapy. We also identified a potentially optimal 9-mer epitope, which can be helpful for vaccine development. The interaction of hemagglutinin (HA) and human receptor analog was confirmed by structural modeling, while NA might influence cellular processes through a PDZ-binding motif. A simplified virus infection model was proposed. Taken together, our studies provide a better understanding of the newly reassorted H7N9 viruses.

Inhibition of influenza A virus infection in vitro by peptides designed in silico

Influenza A viruses are enveloped, segmented negative single-stranded RNA viruses, capable of causing severe human respiratory infections. Currently, only two types of drugs are used to treat influenza A infections, the M2 H⁺ ion channel blockers (amantadine and rimantadine) and the neuraminidase inhibitors (NAI) (oseltamivir and zanamivir). Moreover, the emergence of drug-resistant influenza A virus strains has emphasized the need to develop new antiviral agents to complement or replace the existing drugs. Influenza A virus has on the surface a glycoprotein named hemagglutinin (HA) which due to its important role in the initial stage of infection: receptor binding and fusion activities of viral and endosomal membranes, is a potential target for new antiviral drugs. In this work we designed nine peptides using several bioinformatics tools. These peptides were derived from the HA1 and HA2 subunits of influenza A HA with the aim to inhibit influenza A virus infection. The peptides were synthetized and their antiviral activity was tested in vitro against several influenza A viral strains: Puerto Rico/916/34 (H1N1), (H1N1)pdm09, swine (H1N1) and avian (H5N2). We found these peptides were able to inhibit the influenza A viral strains tested, without showing any cytotoxic effect. By docking studies we found evidence that all the peptides were capable to bind to the viral HA, principally to important regions on the viral HA stalk, thus could prevent the HA conformational changes required to carry out its membranes fusion activity.