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Shantier, S. W.

Publications and source records attributed to Shantier, S. W..

4 recordsLinked to original sources

NudF-boosted strategy to improve the yield of DXS pathway

BackgroundTerpenoids form a large pool of highly diverse organic compounds possessing several economically important properties, including nutritional, aromatic, and pharmacological properties. The DXP pathways end enzyme, nuclear distribution protein (NudF), interacting with isopentenyl pyrophosphate (IPP) and dimethylallyl pyrophosphate (DMAPP), is critical for the synthesis of isoprenol/prenol/downstream compounds. The enzyme is yet to be thoroughly investigated to increase the overall yield of terpenoids in the Bacillus subtilis, which is widely used in industry and is generally regarded as safe (GRAS) bacterium. The study aims to analyze the evolutionary conservation across the active site, and map the key residues for mutagenesis studies. The study would allow us customize the metabolic load towards the synthesis of prenol or isoprenol or any of the downstream molecules. ResultsThe 37-sequence dataset, extracted from 103 Bacillus subtilis entries, show a high phylogenetic divergence, and only six one-motif sequences ASB92783.1, ASB69297.1, ASB56714.1, AOR97677.1, AOL97023.1, and OAZ71765.1 show monophyly relationship, unlike a complete polyphyly relationship between the other 31 three-motif sequences. Further, only 47 of 179 residues of the representative sequence CUB50584.1 are observed to be significantly conserved. Docking analysis shows a preferential bias of ADP-ribose pyrophosphatase towards IPP, and a nearly 3-fold energetic difference is observed between IPP and DMAPP. Computational saturation mutagenesis of the seven hotspot residues identifies two key positions LYS78 and PHE116, encoded within loop1 and loop7, majorly interact with the ligands DMAPP and IPP, and their mutants K78I/K78L and PHE116D/PHE116E are found to stabilize the overall conformation. The loops are hereby shown to play a regulatory role in guiding the promiscuity of NudF towards a specific ligand. ConclusionThe study map the phylogenetic relationship between the 37 representative B.subtiis NudF sequences, and through sequence conservation, structural contact map, topological flexibility, and saturation mutagenesis of the active site residues, the essential residues regulating the interaction of NudF with IPP/DMAPP are deciphered. The study robustly screens its mutational landscape and localizes the two crucial residues LYS78 and PHE116 for directing the mutagenesis studies. The preliminary docking and simulation results also suggest a preferential bias of ADP-ribose pyrophosphatase towards IPP over DMAPP. The findings would pave the way for the development of novel enzyme variants with highly improved catalytic ability for the large-scale bioproduction of specific terpenoids with significant neutraceutical or commercial value.

bioengineering↗

Design of multi epitope-based peptide vaccine against E protein of human 2019-nCoV: An immunoinformatics approach

BackgroundNew endemic disease has been spread across Wuhan City, China on December 2019. Within few weeks, the World Health Organization (WHO) announced a novel coronavirus designated as coronavirus disease 2019 (COVID-19). In late January 2020, WHO declared the outbreak of a "public-health emergency of international concern" due to the rapid and increasing spread of the disease worldwide. Currently, there is no vaccine or approved treatment for this emerging infection; thus the objective of this study is to design a multi epitope peptide vaccine against COVID-19 using immunoinformatics approach. MethodSeveral techniques facilitating the combination of immunoinformatics approach and comparative genomic approach were used in order to determine the potential peptides for designing the T cell epitopes-based peptide vaccine using the envelope protein of 2019-nCoV as a target. ResultsExtensive mutations, insertion and deletion were discovered with comparative sequencing in COVID-19 strain. Additionally, ten peptides binding to MHC class I and MHC class II were found to be promising candidates for vaccine design with adequate world population coverage of 88.5% and 99.99%, respectively. ConclusionT cell epitopes-based peptide vaccine was designed for COVID-19 using envelope protein as an immunogenic target. Nevertheless, the proposed vaccine is rapidly needed to be validated clinically in order to ensure its safety, immunogenic profile and to help on stopping this epidemic before it leads to devastating global outbreaks.

bioinformatics↗

Epitope-based peptide vaccine against glycoprotein G of Nipah henipavirus using immunoinformatics approaches

BackgroundNipah virus (NiV) is a member of the genus Henipavirus of the family Paramyxoviridae, characterized by high pathogenicity and endemic in South Asia, first emerged in Malaysia in 1998. The case-fatality varies from 40% to 70% depending on the severity of the disease and on the availability of adequate healthcare facilities. At present no antiviral drugs are available for NiV disease and the treatment is just supportive. Clinical presentation ranges from asymptomatic infection to fatal encephalitis. Bats are the main reservoir for this virus, which can cause disease in humans and animals. The last investigated NiV outbreak has occurred in May 2018 in Kerala.\n\nObjectiveThis study aims to predict effective epitope-based vaccine against glycoprotein G of Nipah henipavirus using immunoinformatics approaches.\n\nMethods and MaterialsGlycoprotein G of Nipah henipavirus sequence was retrieved from NCBI. Different prediction tools were used to analyze the nominees epitopes in BepiPred-2.0: Sequential B-Cell Epitope Predictor for B-cell, T-cell MHC class II & I. Then the proposed peptides were docked using Autodock 4.0 software program.\n\nResults and ConclusionsPeptide TVYHCSAVY shows a very strong binding affinity to MHC I alleles while FLIDRINWI shows a very strong binding affinity to MHC II and MHC I alleles. This indicates a strong potential to formulate a new vaccine, especially with the peptide FLIDRINWI that is likely to be the first proposed epitope-based vaccine against glycoprotein G of Nipah henipavirus. This study recommends an in-vivo assessment for the most promising peptides especially FLIDRINWI.

bioinformatics↗

Computational Analysis of Single Nucleotide polymorphisms (SNPs) in Human T-Cell Acute Lymphocytic Leukemia Protein 1 (TAL1) Gene/ Comprehensive Study

BackgroundTAL1 is a proto-oncogene whose distorted modifications in committed T-cell Precursors is related with the development of T-ALL, it also found to be related to many other human hematological diseases such as lymphoblastic lymphoma, immunodeficiency 18, acute myeloid leukemia and diamond-blackfan Anemia.\n\nObjectivesThis study aims to predict the effect of nsSNPs on TAL1 protein structure function\n\nMethodsRetrieved nSNPs in the coding and 3UTR regions were analyzed using different in silico tools. Interactions of TAL1 with functionally similar genes were investigated using Genemania. Post-translational modifications in several sites of the protein were also investigated.\n\nResultsOut of ninety nsSNPs identified, only eight were found damaging to protein function of which one is located in the basis helix-loop-helix domain (bHLH). Two SNPs were anticipated by PolymiRTs to prompt disturbance or creation of miR binding sites.\n\nConclusionThe present study is the first ever computational analysis of TAL1s nsSNPs hence this effort might be of help in the near future for inventing early diagnostic and therapeutic measures for T-ALL

bioinformatics↗