Three distinct epitopes for vaccine design were predicted from the sequence of S protein. The potential B-cell epitope was KNHTSPDVDLG possessing the highest antigenicity score of 1.4039 among other B-cell epitopes. T-cell epitope for human MHC class I was VVVLSFELL with an antigenicity score of 1.0909 and binding ability to 29 MHC-I alleles. The predicted T-cell epitope for human MHC class II molecule was VVIGIVNNT with a corresponding 1.3063 antigenicity score, less digesting enzymes, and 7 MHC-II alleles binding ability. All these three peptides were predicted to be highly antigenic, non-allergenic, and non-toxic. Analyses of the physiochemical properties of these predicted epitopes indicate their stable nature for plausible vaccine design. Furthermore, molecular docking investigation between the MHC class-I epitopes and human HLA-B7 reflects the stable interaction with high affinity among them.
Here, we have implemented a computational approach to predict potential short interfering RNAs including small interfering RNAs (siRNAs) and microRNAs (miRNAs), which are presumed to be intrinsically active against SARS-CoV-2. In doing so, we have screened the miRNA library and siRNA library targeting the ORF1ab gene. We predicted the potential miRNA and siRNA candidate molecules utilizing an array of bioinformatics tools. By extending the analysis, out of 24 potential pre-miRNA hairpins and 131 siRNAs, 12 human miRNA and 10 siRNA molecules were sorted as potential therapeutic agents against SARS-CoV-2 based on their GC content, melting temperature (Tm), heat capacity (Cp), hybridization and minimal free energy (MFE) of hybridization. This computational study is focused on lessening the extensive time and labor needed in conventional trial and error-based wet lab methods and it has the potential to act as a decent base for future researchers to develop a successful RNAi therapeutic.
Herein, we have comprehensively reviewed the cutting-edge nanostructured based profiling strategies for clinically relevant exosomes. With an emphasis on the mechanism and working strategy of different nanostructured materials, this review details the electrochemical biosensor construction for exosome isolation and detection. This review also chronicles the needs and challenges of exosome profiling using bionanotechnology and provides a future perspective on the presented strategies.
This article is under review in Advanced Materials Technologies (Wiley Online Library)
Herein, we have reviewed the various electrochemical approaches for fabricating various types of metallic mesoporous alloy films (a wide range of geometries, pore sizes, form and tunneling structures, and metal compositions). With an emphasis on the fabrication of mesoporous bimetallic and trimetallic alloy films, we discussed their specific application for developing advanced technology spanning from hydrogen production to fuel cell and sensor development. This review chronicles the obstacles and necessities implicated in the fabrication of mesoporous alloy films and provides a future perspective on the techniques offered after a full discussion in each area. We envisage that this literature will guide the researcher toward research exploring engineered alloying of earth-abundant elements and translating them into industrial-scale electrocatalysis and nanomedicine application.
we developed a computational approach for predicting siRNAs, which are presumed to be intrinsically active against two crucial mRNAs of SARS-CoV-2, the RNA-dependent RNA polymerase (RdRp), and the nucleocapsid phosphoprotein gene (N gene). Sequence conservancy among the alpha, beta, gamma, and delta variants of SARS-CoV-2 was integrated in the analyses that warrants the potential of these siRNAs against multiple variants. We preliminary found 13 RdRP-targeting and 7 N gene-targeting siRNAs using the siDirect V.2.0. These siRNAs were subsequently filtered through different parameters at optimum condition including macromolecular docking studies. As a result, we selected 4 siRNAs against the RdRP and 3 siRNAs against the N-gene as RNAi candidates. Development of these potential siRNA therapeutics can significantly synergize COVID-19 mitigation by lessening the efforts, furthermore, can lay a rudimentary base for the in silico design of RNAi therapeutics for future emergencies.
I was an oral presenter at the 1st International Conference of Physical Science, which was held on October 2022 at Shahjalal University of Science and Technology in Sylhet, Bangladesh.
I presented a part of the green synthesis project from my International collaboration. To be noted: I was the only female presenter of that conference session, thereby I did not only present the topic but also presented Bangladeshi women in STEM.
This poster was presented by me at the 2nd International Conference on Genomics, Nanotech, and Bioengineering, which was held on June 2022 at North South University in Dhaka, Bangladesh.
I presented our successful synthesis of Fe2O3 NPs using bay leaf extract. The NPs were characterized properly with SEM, XPS, XRD, and BET assays. This study is a signature for establishing nanotechnology-based research using natural resources for uncovering biological mysteries.
The goals of this project are to develop a standard method of synthesizing different porous Iron-oxide (Fe2O3) and Zinc-oxide (ZnO) nanostructures using plant extract as a reducing agent and analyze several features of them using SEM, XPS, XRD, and BET results. Then checking different biological applications, for instance, the antioxidant and nanozyme activity of Fe2O3 nanostructures to detect glucose and ascorbic acid, examining the antibacterial property of ZnO nanostructures by the antibiogram and growth curve analysis of antibiotic-resistant bacteria, also detecting glucose or dopamine using ZnO nanostructure fabricated electrodes. The nanostructures showed a promising ability to detect glucose sensitively and a significant zone of inhibition in the antibiogram test.
In this project, an exclusive method for extracting the α-keratin from human hair waste, the Shindai extraction method, is used to make an efficient yield of 14.32% pure α-keratin. Centrifugation and dialysis against distilled water are used in order to purify the α-keratin. The UV-Vis spectroscopy is performed as an analytical indication of the presence of α-keratin in the extract. In addition, the assurance of α-keratin extraction is measured with two characteristic sharp bands in the SDS-PAGE analysis for both type-I and type-II α-keratin. This study demonstrates a viable α-keratin extraction procedure in the context of Bangladesh that has never been done before. It is important to note that the imported keratin value for Bangladesh is 895,805,141 BDT for the fiscal year 2019-2020. This rising demand for keratin must be met with its efficient industrial production of which extraction is a crucial part. Furthermore, as the consumer market for keratin continues to grow, using human hair waste as a source of α-keratin implies a cost-effective yet environmentally advantageous method that incorporates both human hair waste recycling and highly biocompatible α-keratin production, particularly for mammals.
This presentation was given by me for the Comprehensive Studies of Advanced Literature course in the Master's 1st semester. Of my enthusiastic curiosity about cancer biology and immunotherapy, I personally chose this topic that I came across approximately two years ago through the Nature Video YouTube channel.
I picked six advanced original research articles from different publishers that comprised three cancer vaccine strategies, which showed a matter of hope in the future regarding personalized cancer treatment. To find possible similarities between these strategies, I analyzed their methodology and results in a comparative manner.