Biology subjects

Elhassan, R. M.

Publications and source records attributed to Elhassan, R. M..

3 recordsLinked to original sources

bioRxiv2022

Epitopes- Based Vaccine Design Against Foot and Mouth Disease SAT2 Serotype from Sudanese Isolate by Using Immunoinformatic Approaches

Foot and mouth disease (FMD) has been endemic in Sudan for decades and causes continuous outbreaks that have a direct negative impact on the animal population and prevent the exportation of animals from the country. The high diversity of FMD serotypes, especially SAT2 and A serotypes, hinders the development of effective vaccines since the most important component of vaccination is the degree of cross-protection provided by the vaccine against currently circulating field viruses. An immunoinformatic approach was utilized to predict a multi-epitope peptide vaccine design against the SAT2 serotype from a Sudanese isolate targeting virus capsid region P1. The virus capsid region P1 comprises the major immunogenic epitopes that confer protection against the FMD virus. Two predicted T-cell epitopes were identified that showed high binding affinity with MHC1 alleles (VQRSRQSTL and YHAEWDTGL) and high conservation with SAT2 African serotypes and were located within the VP1 and VP3 proteins, respectively. Only one epitope was predicted for B cells (LPATPEDAAH), which scored above the threshold in Bepipred linear epitope, Emini surface accessibility, and Kolaskar and Tongaonkar antigenicity and is located in VP3 protein. Molecular docking of the peptides (VQRSRQSTL and YHAEWDTGL) with the MHC1 allele showed satisfactory interaction with the binding sites of BoLA-HD6 using UCSF chimera 1.13.1 software. The peptide VQRSRQSTL showed remarkable hydrophobic interaction with the BoLA-HD6 allele, which was superior to the other peptides. This study is the first to propose a peptide vaccine against FMD SAT2 serotypes from a Sudanese isolate.

bioinformatics↗

bioRxiv2020

Epitope-Based Peptide Vaccine Design Against Fructose Bisphosphate Aldolase of Candida Glabrata: An Immunomics Approach

Background Candida glabrata is a human opportunistic pathogen that can cause life-threatening systemic infections. Although, there are multiple effective vaccines against fungal infections, and some of these vaccines were engaged in different stages of clinical trials, none of them yet approved by (FDA).Aim To predict the most conserved and immunogenic B- and T-cell epitopes from the Fructose Bisphosphate aldolase (Fba1) protein of C. glabrata.Materials and Methods 13 C. glabrata Fructose bisphosphate aldolase protein sequences (361amino acid) were retrieved from NCBI and several in silico tools presented in the IEDB server for predicting peptides were used and homology modeling and molecular docking were performed.Result The promising B-cell Epitopes were AYFKPH, VDKESLYTK, and HVDKESLYTK. While, promising peptides which have the high affinity to MHC I binding were: AVHEALAPI, KYFKRMAAM, QTSNGGAAY, RMAAMNQWL and YFKEHGEPL. Two peptides (LFSSHMLDL and YIRSIAPAY) were noted to have the highest affinity to MHC class II that interact with 9 MHC class II alleles. The molecular Docking revealed the epitopes QTSNGGAAY and LFSSHMLDL have the high binding energy to MHC moleculesConclusion The epitope-based vaccines predicted by using immunoinformatics tools have remarkable advantages over the conventional vaccines that they are more specific, less time consuming, safe, less allergic and more antigenic. Further in vivo and in vitro experiments are needed to prove the effectiveness of the best candidates epitopes (QTSNGGAAY and LFSSHMLDL). To the best of our knowledge, this is the first study that has predicted B- and T-cells epitopes from Fba1 protein by using in silico tools in order to design an effective epitope-based vaccine against C. galabrata.Competing Interest StatementThe authors have declared no competing interest.View Full Text

bioinformatics↗

bioRxiv2019

Computational vaccinology approach: Designing an efficient multi-epitope peptide vaccine against Cryptococcus neoformans var. grubii heat shock 70KDa protein

IntroductionCryptococcosis is a ubiquitous opportunistic fungal disease caused by Cryptococcus neoformans var. grubii. It has high global morbidity and mortality among HIV patients and none-HIV carriers with 99% and 95% respectively. Furthermore, the increasing prevalence of undesired toxicity profile of antifungal, multi-drug resistant organism, and the scarcity of FDA authorized vaccines, where the hallmark in the present days. This study was undertaken to design a reliable multi-epitope peptide vaccine against highly conserved immunodominant heat shock 70KDa protein of Cryptococcus neoformans var. grubii that covers a considerable digit of the world population through implementing computational vaccinology approach. Materials and MethodsA total of 38 Sequences of Cryptococcus neoformans var. grubiis heat shock 70KDa protein were retrieved from NCBI protein database. Different prediction tools were used to analyze the aforementioned protein at Immune Epitope Database (IEDB) to discriminate the most promising T-cell and B-cell epitopes. Then the proposed epitopes were subjected to Population coverage analysis tool to compute global populations coverage. Finally, the projected epitopes were ranked based on their scores and binding modes through using Moe 2007 program. Outstanding Results and ConclusionOur prime vaccine candidate was a putative ten promising epitopes (ANYVQASEK, NYVQASEK, KSVEKPAS, TPQQPPAQ, YVYDTRGKL, FYRQGAFEL, FTQLVAAYL, FFGGKVLNF, FDYALVQHF, and FINAQLVDV). Together, these epitopes are forecasted to trigger T lymphocytes, B lymphocytes, and immunological memory with overall population coverage above 90%. Accordingly, our in silico vaccine is expected to be the future multi-epitope peptide vaccine against Cryptococcus neoformans var. grubiis heat shock 70KDa protein that covers a significant figure of the entire world citizens. Therefore, there is a definite need for experimental validation for the carefully chosen vaccine candidates in vitro and in vivo to fortify their antigenic and immunogenic potentials. Additionally, further computational studies are needed to be conducted in pathogens-derived Heat shock 70KDa protein family, as it believed to find universal epitopes that might be overlapped with other pathogens-derived Hsp70.

bioinformatics↗