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Primary hyperparathyroidism is caused by solitary parathyroid adenomas (PTAs) in most cases (⁓85%), and it has been previously reported that PTAs are associated with cardiovascular disease (CVD) and type-2 diabetes (T2D). To understand the molecular basis of PTAs, we have investigated the genetic association amongst PTAs, CVD and T2D through an integrative network-based approach and observed a remarkable resemblance. The current study proposed to compare the PTAs-associated proteins with the overlapping proteins of CVD and T2D to determine the disease relationship. We constructed the protein–protein interaction network by integrating curated and experimentally validated interactions in humans. We found the $11$ highly clustered modules in the network, which contain a total of $13$ hub proteins (TP53, ESR1, EGFR, POTEF, MEN1, FLNA, CDKN2B, ACTB, CTNNB1, CAV1, MAPK1, G6PD and CCND1) that commonly co-exist in PTAs, CDV and T2D and reached to network’s hierarchically modular organization. Additionally, we implemented a gene-set over-representation analysis over biological processes and pathways that helped to identify disease-associated pathways and prioritize target disease proteins. Moreover, we identified the respective drugs of these hub proteins. We built a bipartite network that helps decipher the drug–target interaction, highlighting the influential roles of these drugs on apparently unrelated targets and pathways. Targeting these hub proteins by using drug combinations or drug-repurposing approaches will improve the clinical conditions in comorbidity, enhance the potency of a few drugs and give a synergistic effect with better outcomes. This network-based analysis opens a new horizon for more personalized treatment and drug-repurposing opportunities to investigate new targets and multi-drug treatment and may be helpful in further analysis of the mechanisms underlying PTA and associated diseases.

Over the past few years, the usage of online learning has become the most standard and important part of learning practices among the graduating students. This is the basic tool used by both teachers and students. This website is developed promising the students and teachers involvement enabling distant learning is easy and possible. Our website uses new technologies to make the educating a better experience. There are many platform available online for the students to help them study and train them in their fields. But as of now, there is a few of other platform that help teachers keep the track of student’s performances. This website consists of all of study material available for the computer science students. They can check their understanding of the specific subject as well as specific topic using the quiz provided on our website. When in doubt students can interact with the teachers and clarify their doubts. The website consists of the study material , quizzes to practice their knowledge , student-teacher interaction for the better understanding of the topic, peer-to-peer interaction for the better and healthy competition. This is a platform which not only helps the student to learn and prepare for their university exams but also helps them widen their horizon and helps them in participating in the competitive exams too. A platform where students can interact with their peers, teachers in order to share their views, opinions and doubts. A place where they can compete themselves for college academics and competitive exams using the percentile grading system. Usually it is seen that there is a wide gap of hands-on programming experience or knowledge among the graduating students. It is seen that they only have the placement required knowledge which affects them in long run. So, our motive is to build the web app which can help student boost their coding skill and master their programming knowledge which can help them compete in the competitive programming competitions throughout their life. Here, students can share their views on blogs which later can be evaluated by the teachers and they can share their opinions on them. There are several apis used here which can help students to practice coding . They can even compete among themselves for the better understanding of the concept and the different approach to the problem they might be unaware of and in this way they will have a better understanding of the topics. And after each problem statement students can evaluate their score based on their performance.

Parathyroid adenoma (PA) is marked by a certain benign outgrowth in the surface of parathyroid glands. The transcriptome analysis of parathyroid adenomas can provide a deep insight into actively expressed genes and transcripts. Hence, we analyzed and compared the gene expression profiles of parathyroid adenomas and healthy parathyroid gland tissues from Gene Expression Omnibus (GEO) database. We identified a total of 280 differentially expressed genes (196 up-regulated, 84 down-regulated), which are involved in a wide array of biological processes. We further constructed a gene interaction network and analyzed its topological properties to know the network structure and its hidden mechanism. This will help to understand the molecular mechanisms underlying parathyroid adenoma development. We thus identified 13 key regulators (PRPF19, SMC3, POSTN, SNIP1, EBF1, MEIS2, PAX9, SCUBE2, WNT4, ARHGAP10, DOCK5, CAV1 and VSIR), which are deep-rooted from top to bottom in the gene interaction network forming a backbone for the network. The structural features of the network are probably maintained by crosstalk between important genes within the network along with associated functional modules.Thus, gene-expression profiling and network approach could be used to provide an independent platform to glen insights from available clinical data.

Multiple humanitarian and economic crises in Sudan, including a 22-year civil war and the Darfur genocide in 2003, have resulted in over two million fatalities, food shortages, famine and widespread internal displacement. and the COVID-19 pandemic have culminated in the compromise of mental health services. The Sudanese government had declared a state of emergency on October 25th, 2021 which augmented the current humanitarian crises through further restriction of access to essential services. In an effort to curb the mental health crisis, new service delivery models led by educational institutions in collaboration with non-governmental, regional and international organisations.

Tuberculosis (TB) is the leading cause of death from a single infectious agent. The estimated total global TB deaths in 2019 were 1.4 million. The decline in TB incidence rate is very slow, while the burden of noncommunicable diseases (NCDs) is exponentially increasing in low- and middle-income countries, where the prevention and treatment of TB disease remains a great burden, and there is enough empirical evidence (scientific evidence) to justify a greater research emphasis on the syndemic interaction between TB and NCDs. The current study was proposed to build a disease-gene network based on overlapping TB with NCDs (overlapping means genes involved in TB and other/s NCDs), such as Parkinson’s disease, cardiovascular disease, diabetes mellitus, rheumatoid arthritis, and lung cancer. We compared the TB-associated genes with genes of its overlapping NCDs to determine the gene-disease relationship. Next, we constructed the gene interaction network of disease-genes by integrating curated and experimentally validated interactions in humans and find the 13 highly clustered modules in the network, which contains a total of 86 hub genes that are commonly associated with TB and its overlapping NCDs, which are largely involved in the Inflammatory response, cellular response to cytokine stimulus, response to cytokine, cytokine-mediated signaling pathway, defense response, response to stress and immune system process. Moreover, the identified hub genes and their respective drugs were exploited to build a bipartite network that assists in deciphering the drug-target interaction, highlighting the influential roles of these drugs on apparently unrelated targets and pathways. Targeting these hub proteins by using drugs combination or drug repurposing approaches will improve the clinical conditions in comorbidity, enhance the potency of a few drugs, and give a synergistic effect with better outcomes. Thus, understanding the Mycobacterium tuberculosis (Mtb) infection and associated NCDs is a high priority to contain its short and long-term effects on human health. Our network-based analysis opens a new horizon for more personalized treatment, drug-repurposing opportunities, investigates new targets, multidrug treatment, and can uncover several side effects of unrelated drugs for TB and its overlapping NCDs.

Abiotic stress induced by heavy metals retards the growth and development of plants. Therefore, it is essential to have an insight into the potential toxic effects of heavy metals. The present article investigates the effect of zinc and cadmium on the structure and function of garlic phytocystatin (GPhyCys). The cysteine proteinase inhibitory assay showed a reduction in the inhibitory activity upon binding with zinc and cadmium. UV-vis absorption spectroscopy revealed the complex formation of zinc and cadmium with garlic phytocystatin. Fluorescence quenching experiment confirmed the quenching of fluorophores upon binding of zinc and cadmium. Synchronous and 3-dimensional fluorescence spectroscopy suggest the alteration in the microenvironment around aromatic residues of garlic phytocystatin upon binding with the above metals. Circular dichroism showed a reduction in the alpha-helical content of native garlic phytocystatin. Scanning electron micrographs showed the morphological changes in the native garlic phytocystatin upon addition of zinc and cadmium. The observations confirmed the alteration in structure and conformation of garlic phytocystatin upon interaction with zinc and cadmium. It can be safely concluded that the high concentration of zinc and cadmium can alter the functioning of cysteine proteinase present in garlic and affects the growth and development of plants.

Oxyfluorfen (2-chloro-1-(3-ethoxy-4-nitrophenoxy)-4-(trifluoromethyl)benzene) is a nitrophenyl ether herbicide. Phytocystatins are crucial plant proteins which regulate various physiologica...

Healthcare industry has been relegated to services of innovation and even we can say that healthcare industry has been slower to embrace the Internet of things (IoT) due to our earlier legitimate concern about security and privacy. But in the recent years and according to Deloitte report, it’s been noted that more than 500,000 medical technologies are currently accessible to collect, analyze and transmit healthcare data; evolving the future of healthcare services by allocating end to end data encryption security and providing greater privacy options to patient. And now when the whole world is facing the rapid expansion of COVID-19, where the social and physical distancing is a matter of concern for the frontline clinical healthcare provider and the patients, Internet of Medical Things (IoMT) had played an indispensable role in tackling COVID-19. It not only accelerates our response to this widespread pandemic but also offers many innovative solutions to retaliate this global issue. Remote monitoring and evaluating of large number COVID-19 patients in Intensive Care Unit (ICU) or in ventilators by few medical health professionals, providing telemedicine services to the people dwelling in lockdown or quarantine, and encouraging behavioral modification of patients; has opened the door to more efficient healthcare delivery during this time of ‘New Normal’. With new technology, however comes new challenges which have to fix together to make this technology works more efficiently, especially in the rural areas, where it needs the most.

Tuberculosis (TB) is one of the deadliest diseases since ancient times and is still a global health problem. So, there is a need to develop new approaches for early detection of TB and understand the host-pathogen relationship. In the present study, we have analyzed microarray data sets and compared the transcriptome profiling of the healthy individual with latent infection (LTBI) and active TB (TB) patients, and identified the differentially expressed genes (DEGs). Next, we performed the systematic network meta-analysis of the DEGs, which identified the seven most influencing hub genes (IL6, IL1B, TNF, NFKB1, STAT1, JAK2, and MAPK8) as the potential therapeutic target in the tuberculosis disease. These target genes are involved in many biological processes like cell cycle control, apoptosis, complement signalling, enhanced cytokine & chemokine signalling, pro-inflammatory responses, and host immune responses. Additionally, we also identified 22 inferred genes that are mainly engaged in the induction of innate immune response, cellular response to interleukin-6, inflammatory response, apoptotic process, I-kappaB-phosphorylation, JAK-STAT signalling pathway, macrophage activation, cell growth, and cell signalling. The proper attention of these inferred genes may open up a new horizon to understand the defensive mechanisms of TB disease. The transcriptome profiling and network approach can enhance the understanding of the molecular pathogenesis of tuberculosis infection and have implications for the plan and execution of mRNA expression tools to support early diagnostics and treatment of Mycobacterium tuberculosis (M.tb).

The top priority of any nation is to lead the nation towards prosperity, progress, and economic growth, confronting several challenges and concerns arisen from global situations. The sudden outbreak of any disease defies the health care systems and economy of nations. COVID-19 is one of the viral diseases which broke out in Wuhan city of China in 2019. COVID-19 outbreak intermittently prevailed all over the world. It exposes the fragility of the established health care systems across the world in spite of comprising modern science and technology. Unfortunately, there is no chemotherapeutic agent in the regimen of antiviral drugs or no vaccine available to curb this infectious disease. As a consequence, this deadly infection has prevailed all over the world. The antiviral drugs used for viral diseases excluding COVID-19 infection are Ramdesvir, Favipiravir, and Ribavarin, and antimalarial agents (Chloroquine & Hydroxychloroquine) are being administered to the patients for redemption of this infection. Fortunately, these existing drugs have been found clinically active and are being used. In this review, we present the current scenario and status of epidemiology, diagnosis, treatment, vaccine development for COVID-19, and its impact on the socio-economic structure.

The recurrent and recent global outbreak of SARS-CoV-2 has turned into a global concern which has infected more than 19-million people all over the globe, and this number is increasing in hours. Unfortunate no vaccine or specific treatment is available, which make it more deadly. A vaccine-informatics approach has shown significant breakthrough in peptide-based epitope mapping and opens the new horizon in vaccine development. In this study, we have identified a total of 15 antigenic peptides (including T and B cells) in the surface glycoprotein of SARS-CoV-2 which showed non-toxic nature, non-allergenic, highly antigenic and non-mutated in other SARS-CoV-2 virus strains. The population coverage analysis has found that CD4+T-cell peptides showed higher cumulative population coverage over to CD8+peptides in the 16 different geographical regions of the world. We identified twelve peptides(LTDEMIAQY, WTAGAAAYY, WMESEFRVY, IRASANLAA, FGAISSVLN, VKQLSSNFG, FAMQMAYRF, FGAGAALQI, YGFQPTNGVGYQ, LPDPSKPSKR, QTQTNSPRRARS and VITPGTNTSN) that are 80% - 90% identical with experimentally determined epitopes of SARS-CoV, and this will likely be beneficial for a quick progression of the vaccine design. Moreover, docking analysis suggested that identified peptides are tightly bound in the groove of HLA molecules which can induce the T-cell response. Overall this study allows us to determine potent peptide antigen targets in surface glycoprotein on intuitive grounds which open up a new horizon in COVID-19 research. However, this study needs experimental validation by in vitro and in vivo.

Carbendazim is a broad spectrum benzimidazole fungicide which is used to ensure plants' protection from pest and pathogens' invasion. The present work describes the impact of carbendazim (CAR) on garlic phytocystatin (GPC) which is a crucial plant regulatory protein. Interaction of carbendazim with GPC has been investigated through various biophysical techniques viz. UV absorption, fluorescence spectroscopy, isothermal titration calorimetry, far-UV circular dichroism and FTIR spectroscopy which showed binding between them with consequent modulatory effects. Functional activity of GPC was monitored by the anti-papain inhibitory assay which suggests that incubation of GPC with the higher concentration of CAR disrupts the inhibitory function of GPC. UV spectroscopy confirmed the formation of GPC-CAR complex. Intrinsic fluorescence suggests binding of CAR to GPC which reflects the changes in microenvironment around tryptophan residues of GPC. Isothermal titration calorimetry suggests that interaction of CAR to GPC is an exothermic reaction. Secondary structure analysis was also performed which confirmed that binding of CAR decreases the alpha-helical content of GPC. Collectively, these results demonstrated that GPC exhibited significant structural and functional alteration upon interaction with carbendazim. Since GPC is involved in various regulatory processes, therefore, its structural or functional alteration may lead to disruption of physiological and biological balance within the plant. Hence, our study signifies that exposure of carbendazim to plant exerts physicochemical alteration within the plant.

Cysteine proteinase inhibitors play an essential role in maintaining the proper functioning of all living cells by virtue of its thiol protease regulatory properties. Chemical denaturation of a new variant of cystatin super family has been studied by various biophysical techniques in order to characterize the unfolded and denatured state. Denaturation of garlic phytocystatin (GPC) has been investigated using urea and guanidine hydrochloride (GdnHCl). Different biophysical techniques such as intrinsic fluorescence, circular dichroism and FTIR exhibited an altered structure of garlic phytocystatin with increasing concentration of denaturant. The inhibitory activity of GPC decreases with increasing concentration of denaturant. Increased fluorescence intensity along with red shift reflects the unfolding of GPC at higher concentration of denaturant. GdnHCl induced unfolding showed presence of indiscernible intermediate as followed by ANS binding studies. However, denaturation by urea did not show any intermediates. Mid-point transition was observed at 4.7±0.1M urea and 2.32±0.1M GdnHCl. Circular dichroism and FTIR results indicate the 50% loss of secondary structure at 5M urea and 2.5M GdnHCl. This study provides intriguing insight into the possible alteration of structure, stability and function of GPC induced by urea and GdnHCl.

Phytocystatins are cysteine proteinase inhibitors present in plants. They play crucial role in maintaining protease-anti protease balance and are involved in various endogenous processes. Thus, they are suitable and convenient targets for genetic engineering which makes their isolation and characterisation from different sources the need of the hour. In the present study a phytocystatin has been isolated from garlic (Allium sativum) by a simple two-step process using ammonium sulphate fractionation and gel filtration chromatography on Sephacryl S-100HR with a fold purification of 152.6 and yield 48.9%. A single band on native gel electrophoresis confirms the homogeneity of the purified inhibitor. The molecular weight of the purified inhibitor was found to be 12.5kDa as determined by SDS-PAGE and gel filtration chromatography. The garlic phytocystatin was found to be stable under broad range of pH (6-8) and temperature (30°C-60°C). Kinetic studies suggests that garlic phytocystatins are reversible and non-competitive inhibitors having highest affinity for papain followed by ficin and bromelain. UV and fluorescence spectroscopy revealed significant conformational change upon garlic phytocystatin-papain complex formation. Secondary structure analysis was performed using CD and FTIR. Garlic phytocystatin possesses 33.9% alpha-helical content as assessed by CD spectroscopy.

Scrub typhus also known as bush typhus is a disease with symptoms similar to Chikungunya infection. It is caused by a gram-negative bacterium Orientia tsutsugamushi which resides in its vertebrate host, Mites. The genome of Orientia tsutsugamushi str. Karp encodes for 1,563 proteins, of which 344 are characterized as hypothetical ones. In the present study, we tried to identify the probable functions of these 344 hypothetical proteins (HPs). All the characterized hypothetical proteins (HPs) belong to the various protein classes like enzymes, transporters, binding proteins, metabolic process and catalytic activity and kinase activity. These hypothetical proteins (HPs) were further analyzed for virulence factors with 62 proteins identified as the most virulent proteins among these hypothetical proteins (HPs). In addition, we studied the protein sequence similarity network for visualizing functional trends across protein superfamilies from the context of sequence similarity and it shows great potential for generating testable hypotheses about protein structure-function relationships. Furthermore, we calculated toplogical properties of the network and found them to obey network power law distributions showing a fractal nature. We also identifed two highly interconnected modules in the main network which contained five hub proteins (KJV55465, KJV56211, KJV57212, KJV57203 and KJV57216) having 1.0 clustering coefficient. The structural modeling (2D and 3D structure) of these five hub proteins was carried out and the catalytic site essential for its functioning was analyzed. The outcome of the present study may facilitate a better understanding of the mechanism of virulence, pathogenesis, adaptability to host and up-to-date annotations will make unknown genes easy to identify and target for experimentation. The information on the functional attributes and virulence characteristic of these hypothetical proteins (HPs) are envisaged to facilitate effective development of novel antibacterial drug targets of Orientia tsutsugamushi., Biochemistry; Bioinformatics; Genetics; Microbiology; Functional annotation; Hypothetical proteins (HPs); Scrub typhus; ROC analysis; Virulence

Phytocystatins are cysteine proteinase inhibitors ubiquitously present in plants and animals. They are known to carry out various significant physiological functions and also maintain the balance of protease-antiprotease activity. In the present disquisition, a phytocystatin after preliminary treatment has been isolated and purified to homogeneity from soybean (Glycine max) by a simple two-step stratagem using ammonium sulfate fractionation and gel filtration chromatography performed on Sephacryl S-100-HR. Soybean phytocystatin (SBPC) was purified with a fold purification of 635 and percent yield of 77.6%. A single band was observed on native gel electrophoresis confirming the homogeneity of the purified SBPC. The molecular weight of SBPC was found to be 19.05 kDa as determined by SDS-PAGE. The SBPC was found to be devoid of carbohydrate moieties and sulfhydryl group content. The binding stoichiometry of SBPC-papain interaction was determined by isothermal calorimetry suggesting 1:1 complex, and the value of binding constant (K) was found to be 2.78 × 105 M-1 The affinity of binding (Kd ) value obtained through ITC was 3.59 × 10-6 M. The purified SBPC was found to be stable in the pH range of 3 to 7 and is thermostable up to 50°C. The UV-visible and fluorescence studies showed significant changes in the conformation upon the formation of the SBPC-papain complex. Furthermore, fluorescence spectroscopy, ANS binding, and caseinolytic activity assay were conducted out to explore the effect of metal ions on SBPC which showed that there was a loss in the inhibitory activity along with conformational changes of SBPC upon complex formation with Cd+2 and Ni+2 .

Phytocystatins are cysteine proteinase inhibitors ubiquitously present in plants and animals. They are known to carry out various significant physiological functions and also maintain the balance of protease-antiprotease activity. In the present disquisition, a phytocystatin after preliminary treatment has been isolated and purified to homogeneity from soybean (Glycine max) by a simple two-step stratagem using ammonium sulfate fractionation and gel filtration chromatography performed on Sephacryl S-100-HR. Soybean phytocystatin (SBPC) was purified with a fold purification of 635 and percent yield of 77.6%. A single band was observed on native gel electrophoresis confirming the homogeneity of the purified SBPC. The molecular weight of SBPC was found to be 19.05 kDa as determined by SDS-PAGE. The SBPC was found to be devoid of carbohydrate moieties and sulfhydryl group content. The binding stoichiometry of SBPC-papain interaction was determined by isothermal calorimetry suggesting 1:1 complex, and the value of binding constant (K) was found to be 2.78 × 10

Intrinsic and extrinsic factors are responsible for the transition of soluble proteins into aggregated form. Trifluoroethanol is among such potent extrinsic factor which facilitates the formation of aggregated structure. It disrupts the interactive forces and destabilizes the native structure of the protein. The present study investigates the effect of trifluoroethanol (TFE) on garlic cystatin. Garlic cystatin was incubated with increasing concentration of TFE (0-90% v/v) for 4 h. Incubation of GPC with TFE induces structural changes thereby resulting in the formation of aggregates. Inactivation of garlic phytocystatin was confirmed by cysteine proteinase inhibitory activity. Garlic cystatin at 30% TFE exhibits native-like secondary structure and high ANS fluorescence, thus suggesting the presence of molten globule state. Circular dichroism and FTIR confirmed the transition of the native alpha-helical structure of garlic cystatin to the beta-sheet structure at 60% TFE. Furthermore, increased ThT fluorescence and redshift in Congo red absorbance assay confirmed the presence of aggregates. Rayleigh and turbidity assay was also performed to validate the aggregation results. Scanning electron microscopy was followed to analyze the morphological changes which confirm the presence of sheath-like structure at 60% TFE. The study sheds light on the conformational behavior of a plant protein when kept under stress condition induced by an extrinsic factor.

Carbendazim is a benzimidazole fungicide used to control the fungal invasion. However, its exposure might lead to potential health problems. The present study evaluates the interaction of carbendazim [CAR] with human serum albumin [HSA] which is an important drug carrier protein and plays a very crucial role in the transportation of small molecules. A number of biophysical techniques were employed to investigate the binding of CAR with HSA. The increased UV-absorption of HSA on titrating with carbendazim suggests the formation of HSA-CAR complex and it could be due to the exposure of aromatic residues. The fluorescence study confirmed that carbendazim quenches the fluorescence of HSA and showed static mode of quenching. Carbendazim (50 µM) quenches around 56.14% of the HSA fluorescence. The quenching constant, binding constant, number of binding site and free energy change was calculated by fluorescence quenching experiment. Competitive displacement assay showed Sudlow’s site I as the primary binding site of carbendazim on HSA. The synchronous fluorescence study revealed the perturbation in the microenvironment around tyrosine and tryptophan residues upon binding of carbendazim to human serum albumin. The circular dichroism results suggested that the binding of carbendazim to HSA altered its secondary structure. Molecular docking experiment demonstrated the binding of carbendazim to Sudlow’s site I of human serum albumin. Docking studies suggested that the hydrogen bonding, van der Waals and pi-alkyl are playing role in the interaction of carbendazim with human serum albumin. The study confirmed the conformational changes within HSA upon binding of carbendazim.