No abstract

Ebola virus is a highly pathogenic RNA virus that causes haemorrhagic fever in human. With very high mortality rate, Ebola virus is considered as one of the dangerous viruses in the world. Although, the Ebola outbreaks claimed many lives in the past, no satisfactory treatment or vaccine have been discovered yet to fight against Ebola. For this reason, in this study, various tools of bioinformatics and immunoinformatics were used to design possible vaccines against Zaire Ebola virus strain Mayinga-76. To construct the vaccine, three potential antigenic proteins of the virus, matrix protein VP40, envelope glycoprotein and nucleoprotein were selected against which the vaccines would be designed. The MHC class-I, MHC class-II and B-cell epitopes were determined and after robust analysis through various tools and molecular docking analysis, three vaccine candidates, designated as EV-1, EV-2 and EV-3, were constructed. Since the highly conserved epitopes were used for vaccine construction, these vaccine constructs are also expected to be effective on other strains of Ebola virus like strain Gabon-94 and Kikwit-95. Next, the molecular docking study on these vaccine constructs were analyzed by molecular docking study and EV-1 emerged as the best vaccine construct. Later, molecular dynamics simulation study revealed the good performances as well as good stability of the vaccine protein. Finally, codon adaptation and in silico cloning were conducted to design a possible plasmid (pET-19b plasmid vector was used) for large scale, industrial production of the EV-1 vaccine.

Background Being one of the rapidly growing dementia type diseases in the world, Alzheimer’s disease (AD) has gained much attention from researchers in the recent decades. Many hypotheses have been developed that describe different reasons for the development of AD. Among them, the cholinergic hypothesis depicts that the degradation of an important neurotransmitter, acetylcholine by the enzyme acetylcholinesterase (AChE), is responsible for the development of AD. Although, many anti-AChE drugs are already available in the market, their performance sometimes yields unexpected results. For this reason, research works are going on to find out potential anti-AChE agents both from natural and synthetic sources. In this study, 50 potential anti-AChE phytochemicals were analyzed using numerous tools of bioinformatics and in silico biology to find out the best possible anti-AChE agents among the selected 50 ligands through molecular docking, determination of the druglikeness properties, conducting the ADMET test, PASS and P450 site of metabolism prediction, and DFT calculations. Result The predictions of this study suggested that among the selected 50 ligands, bellidifolin, naringenin, apigenin, and coptisine were the 4 best compounds with quite similar and sound performance in most of the experiments. Conclusion In this study, bellidifolin, naringenin, apigenin, and coptisine were found to be the most effective agents for treating the AD targeting AChE. However, more in vivo and in vitro analyses are required to finally confirm the outcomes of this research.

Cancer is caused by a variety of pathways, involving numerous types of enzymes, among them three enzymes: Cyclin dependent kinase-2 (CDK-2), Human topoisomerase IIα and Vascular Endothelial Growth Factor Receptor-2 (VEGFR-2) are three most common enzymes that are involved in the cancer development. Although many chemical drugs are available in the market, plant sources are known to contain a wide variety of agents that are known to possess anticancer activity. In this experiment, total thirty compounds were analysed against the mentioned enzymes using different tools of bioinformatics and in silico biology like molecular docking study, druglikeness property experiment, ADME/T test, PASS prediction and P450 site of metabolism prediction as well as DFT calculations to determine three best ligands that have the capability to inhibit the mentioned enzymes. Form the experiment, Epigallocatechin gallate was found to be the best ligand to inhibit CDK-2, Daidzein showed best inhibitory activities towards Human topoisomerase IIα and Quercetin was predicted to be the best agent against VEGFR-2. They were also predicted to be quite safe and effective agents to treat cancer. However, more in vivo and in vitro analysis are required to confirm their safety and efficacy in this regard.

Alzheimer's Disease (AD) is the most prevalent age-related dementia. AD can be caused by abnormal processing of amyloid precursor protein (APP) or by oxidative stress or may be due to the actions of kinases or the degeneration and loss of functions of neurons in the brain. Although various treatments How to cite this paper: Sarkarthis experiment which are intended targets in current AD treatment approaches. Investigation of docking results, druglikeness properties and ADME/T testing results suggest that the best findings of this experiment are memantine, hymenialdisine, dihydrospiro[dibenzo [a,d][7]annulene-5,4'-imidazol] and harmol, that could be the best possible drugs for the treatment of AD.