Shishir K. Gupta

In silico CD4+ T-cell epitope prediction and HLA distribution analysis for the potential proteins of Neisseria meningitidis Serogroup B--a clue for vaccine development.

Neisseria meningitidis, an exclusive human pathogen, is a major cause of mortality due to meningococcal meningitis and sepsis in many developing countries. Three meningococcal serogroup B proteins, i.e. T-cell stimulating protein A (TspA), autotransporter A (AutA), and IgA-specific serine endopeptidase (IGA1) elicits CD4+ T-cell response and may enhance the effectiveness of meningococcal vaccines by acting as protective immunogens. A very limited data on T-helper cell epitopes in MenB proteins is available. Hence, in silico prediction of peptide sequences which may act as helper T lymphocyte epitopes in MenB proteins was carried out by NetMHCIIpan web server. HLA distribution analysis was done by using the population coverage tool of Immune Epitope Database to determine the fraction of individuals in various populations expected to respond to a given set of predicted T-cell epitopes based on HLA genotype frequencies. Six epitopic core sequences, two from each MenB proteins, i.e. AutA, TspA and IgA1 protease were predicted to associate with a large number of HLA-DR alleles. These six peptides may act as T-cell epitope in more than 95% of populations in 8 out of 12 populations considered. The T-cell stimulation potential of these predicted peptides containing the core epitopic sequences is to be validated by using laboratory experiments for their efficient use as peptide vaccine candidates against N. meningitidis serogroup B.

Identification of immunogenic consensus T-cell epitopes in globally distributed influenza-A H1N1 neuraminidase

Antigenic drift is the ability of the swine influenza virus to undergo continuous and progressive changes in response to the host immune system. These changes dictate influenza vaccine updates annually to ensure inclusion of antigens of the most current strains. The identification of those peptides that stimulate T-cell responses, termed T-cell epitopes, is essential for the development of successful vaccines. In this study, the highly conserved and specific epitopes from neuraminidase of globally distributed H1N1 strains were predicted so that these potential vaccine candidates may escape with antigenic drift. A total of nine novel CD8(+) T-cell epitopes for MHC class-I and eight novel CD4(+) T-cell epitopes for MHC class-II alleles were proposed as novel epitope based vaccine candidates. Additionally, the epitope FSYKYGNGV was identified as a highly conserved, immunogenic and potential vaccine candidate, capable for generating both CD8(+) and CD4(+) responses.

In silico DNA vaccine designing against human papillomavirus (HPV) causing cervical cancer.

HPV vaccines available in the market are not effective against different strains of papillomavirus, therefore, there is a need to develop a new prophylactic DNA vaccine which can work against different strains of HPVs and may lead to protection of cervical cancer against new pandemic viruses. We designed a potential prophylactic DNA vaccine by using all the consensus epitopic sequences of HPVs L2 capsid protein and performed in silico cloning of multiepitopic antigenic DNA sequence in pVAX-1 vector. Immunogenicity of vaccine has been enhanced by techniques like codon optimization, engineering CpG motifs, introducing promoters and co-injection with plasmids expressing immune-stimulatory molecules.

In silico designing and optimization of anti-breast cancer antibody mimetic oligopeptide targeting HER-2 in women.

Overexpression of HER-2 is of frequent (20-30%) occurrence in breast cancer. Therapeutic targeting of HER-2 with humanized antibody derived oligopeptide may be a promising approach to the treatment of breast cancer. HER-2 gene is part of a family of genes that play critical roles in regulating transmembrane growth of breast cancer cells. Pertuzumab, a recombinant humanized monoclonal antibody (2C4), binds to extracellular domain II of the HER-2 receptor and inhibits its ability to dimerize with other HER receptors blocking the cell growth, signaling and apoptosis induction. The unique binding pocket on HER-2 for pertuzumab provides an important target domain for creation of new anticancer drugs. In the present work an efficient oligopeptide was designed by our computational method that interacts with pertuzumab binding sites of HER-2. In silico docking study demonstrated the best specific interaction of RASPADREV oligopeptide with the dimerization domain in the HER-2 molecule among various screened oligopeptides. ADMET and SAR properties prove the drug likeness of designed oligopeptide as having value 0.98.

In silico proteomic characterization of human epidermal growth factor receptor 2 (HER-2) for the mapping of high affinity antigenic determinants against breast cancer.

Multiple different approaches are being used to activate the immune system against breast cancer. Vaccine therapy in general follows the principle that injections of various substances ultimately result in the presentation of tumor peptides to the patient’s immune system. We proposed a potential in silico DNA vaccine against breast cancer by integrating high affinity T cell (MHC-I and MHC-II) and B cell (continuous and discontinuous) epitopes. The matching of the HLA haplotype and antigen was performed to provide the appropriate peptide epitope suitable for majority of the patients. The immunogenic nature of the antigenic construct was also enhanced by the administration of consensus epitopes. The potency of DNA vaccines depends on the efficient expression and presentation of the encoded antigen of interest and the chances of efficient expression of our antigenic construct in host organism was also verified by in silico approaches. An attempt was made to overcome the limited potency of the DNA vaccine by targeting DNA to professional antigen-presenting cells (APCs). A higher immune response theoretically corresponds to a higher survival rate of patients. Therefore, optimization studies were also employed to enhance the immunogenicity of proposed in silico DNA vaccine.

Systematic Identification of Anti-Fungal Drug Targets by a Metabolic Network Approach

New antimycotic drugs are challenging to find, as potential target proteins may have close human orthologs. We here focus on identifying metabolic targets that are critical for fungal growth and have minimal similarity to targets among human proteins. We compare and combine here: (I) direct metabolic network modeling using elementary mode analysis and flux estimates approximations using expression data, (II) targeting metabolic genes by transcriptome analysis of condition-specific highly expressed enzymes, and (III) analysis of enzyme structure, enzyme interconnectedness (“hubs”), and identification of pathogen-specific enzymes using orthology relations. We have identified 64 targets including metabolic enzymes involved in vitamin synthesis, lipid, and amino acid biosynthesis including 18 targets validated from the literature, two validated and five currently examined in own genetic experiments, and 38 further promising novel target proteins which are non-orthologous to human proteins, involved in metabolism and are highly ranked drug targets from these pipelines.

In silico identification of novel protective VSG antigens expressed by Trypanosoma brucei and an effort for designing a highly immunogenic DNA vaccine using IL-12 as adjuvant.

African trypanosomiasis continues to be a major health problem, with more adults dying from this disease world-wide. As the sequence diversity of Trypanosoma brucei is extreme, with VSGs having 15-25% identity with most other VSGs, hence it displays a huge diversity of adaptations and host specificities. Therefore the need for an improved vaccine has become an international priority. The highly conserved and specific epitopes acting as both CD8+ and CD4+ T-cell epitopes (FLINKKPAL and FTALCTLAA) were predicted from large bunch of VSGs of T. brucei. Besides, some other potential epitopes with very high affinity for MHC I and II molecules were also determined while taking consideration on the most common HLA in the general population which accounts for major ethnicities. The vaccine candidates were found to be effective even for non-african populations as predicted by population coverage analysis. Hence the migrating travelers acting as a spread means of the infection can probably also be treated successfully after injection of such a multiepitopic vaccine. Exploiting the immunoinformatics approaches, we designed a potential vaccine by using the consensus epitopic sequence of 388 VSG proteins of T. brucei and performed in silico cloning of multiepitopic antigenic DNA sequence in pBI-CMV1 vector. Moreover, various techniques like codon adaptation, CpG optimization, removal of self recognized epitopes, use of adjuvant and co-injection with plasmids expressing immune-stimulatory molecules were implemented to enhance the immunogenicity of the proposed in silico vaccine.

Understanding the mechanism of atovaquone drug resistance in Plasmodium falciparum cytochrome b mutation Y268S using computational methods.

The rapid appearance of resistant malarial parasites after introduction of atovaquone (ATQ) drug has prompted the search for new drugs as even single point mutations in the active site of Cytochrome b protein can rapidly render ATQ ineffective. The presence of Y268 mutations in the Cytochrome b (Cyt b) protein is previously suggested to be responsible for the ATQ resistance in Plasmodium falciparum (P. falciparum). In this study, we examined the resistance mechanism against ATQ in P. falciparum through computational methods. Here, we reported a reliable protein model of Cyt bc1 complex containing Cyt b and the Iron-Sulphur Protein (ISP) of P. falciparum using composite modeling method by combining threading, ab initio modeling and atomic-level structure refinement approaches. The molecular dynamics simulations suggest that Y268S mutation causes ATQ resistance by reducing hydrophobic interactions between Cyt bc1 protein complex and ATQ. Moreover, the important histidine contact of ATQ with the ISP chain is also lost due to Y268S mutation. We noticed the induced mutation alters the arrangement of active site residues in a fashion that enforces ATQ to find its new stable binding site far away from the wild-type binding pocket. The MM-PBSA calculations also shows that the binding affinity of ATQ with Cyt bc1 complex is enough to hold it at this new site that ultimately leads to the ATQ resistance.

Designing and Modeling of Complex DNA Vaccine Based on Tropomyosin Protein of Boophilus Genus Tick

Boophilus tick is a bloodsucking ectoparasite that transfers some pathogens, reducing production and thus leading to economical losses in the cattle industry. Tropomyosin (TPM) protein is a salivary protein, has actin regulator activity, and plays an important role in immune reactions against parasites. In the current study, besides developing a safe, effective, and broad spectrum protective measure against Boophilus genus tick based on TPM protein, we attempted to minimize possible problems occurring in the design of polytopic vaccines. Briefly, the steps that were followed in the present study were as follows: retrieving sequences and finding the mutational/conservative regions, selecting consensus and high immunogenic epitopes of B and CD4+ T cells by different approaches, three-dimensional structure (3D structure) prediction and representation of epitopes and highly variable/conserve regions, designing vaccinal construct by fusion of B and T cell epitopes by special patterns and improving immunogenicity, evaluation of the constructs’ primary structure and posttranslational modification, calculation of hydrophobic regions, reverse translation, codon optimization, open reading frame checking, insertion of start/end codon, Kozak sequence, and finally constructing the DNA vaccine. Variation plot showed some shared epitopes among the ticks’ and mites’ species that some might be effective only in some species. Finally, by following the steps mentioned above, two constructs for B and T cells were achieved. Checking constructs revealed their reliability and efficacy for in vitro production and utilization. Successful in silico modeling is an essential step of designing vigorous vaccines. We developed a novel protective and therapeutic vaccine against Boophilus genus (based on TPM protein). At the next step, constructed DNA vaccine would be produced in vitro and administrated to cattle, and its potency to induction of immune response and protection against Boophilus genus as well as other ticks and mites will be evaluated.

Virtual screening of specific chemical compounds by exploring E.coli NAD+-dependent DNA ligase as a target for antibacterial drug discovery

Unique substrate specificity compared with ATP-dependent human DNA ligases recommends E.coli NAD+-ligases as potential targets. A plausible strategy is to identify the structural components of bacterial DNA ligase that interact with NAD+ and then to isolate small molecules that recognize these components and thereby block the binding of NAD+ to the ligase. This work describes a molecular modeling approach to detect the 3D structure of NAD+-dependent DNA ligase in E. coli whose partial structure was determined by wet lab experiments and rest structure was left as such on the road for repairment. We applied protein-drug docking approach to detect the binding affinity of this enzyme with Quinacrine and some of its virtual derivatives. In silico docking results predict that the virtual derivative of Quinacrine (C21H26ClN3O2) has greater binding affinity than Quinacrine. Drug likeness value of 0.833 was observed for this derivative without showing any toxicity risk.