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Generalized pustular psoriasis (GPP) is a rare form of psoriasis, which is characterized by sudden onset of repeated erythema and pustule formation with generalized inflammation. Recent advances in molecular genetics have led to the identification of several genes associated with GPP, including IL36RN, CARD14, AP1S3, SERPINA3, and MPO. Of these, only limited cases of GPP have been reported to carry mutations in the AP1S3, SERPINA3, or MPO to date. In the present study, we investigated a Japanese patient with GPP and found a homozygous missense mutation c.1769GT (p.Arg590Leu) in the MPO gene. Structural analysis predicted that the mutant MPO protein would abolish its ability to bind with heme protein. In vitro studies using cultured cells revealed that the mutant MPO was stably expressed, but completely lost its myeloperoxidase activity. Immunohistochemistry (IHC) using an anti-MPO antibody showed markedly reduced expression of MPO protein in the patient's skin, suggesting that the mutation would lead to an instability of the MPO protein in vivo. Finally, IHC with an anti-citrullinated Histone H3 antibody demonstrated a sparse formation of neutrophil extracellular traps within a Kogoj's spongiform pustule of the patient's skin. Collectively, we conclude that the c.1769GT (p.Arg590Leu) in the MPO is a complete loss-of-function mutation associated with GPP in the patient. Our data further underscore critical roles of the MPO gene in the pathogenesis of GPP.

Enzyme inhibitor from natural origin without any side effects and multi diseases target provide more advantageous over commercial drugs. In present study phytocompound lupeol was isolated from Indian traditional medicinal plant Crateva adansonii leave extracts and its possible applications for treating diabetes and inflammation diseases. Single major peak in HPLC profiling and FTIR functional group analysis of lupeol fraction (LF) confirmed the presence of phytocompound lupeol in LF. LF obtained from chloroform leave extract of Crateva adansonii had most prominent inhibitory activity on alpha-amylase and alpha glucosidase with IC50 values 16.31 µg/mL and 41.25 µg/mL respectively. LF exhibit superior COX-2 enzyme (91.36%) inhibition potential among all tested samples whereas LF exhibit equipotent (81.38%) MPO enzyme inhibitory potential compared with celecoxib standard drug (86.19%). In silico validation reveals that lupeol exhibit least docking score with excellent binding affinities of -9.2, -7.6, -10.0 -8.2 Kcal/mol with COX-2, myeloperoxidase, α-amylase and α-glucosidase inflammatory molecular target enzymes respectively than inflammatory (celecoxib) and diabetic (acarbose) reference standard drugs. Further in silico molecular dynamics simulation analysis revealed that Lupeol-COX-2 RMSD (root mean square deviation) plot showed that both COX-2 and Lupeol are stable after 20 NS at 9.0 A for ligand and 3.2 A for protein. Lupeol-α amylase complex showed good level of interaction throughout the simulation when compared with reference standard drug acarbose. Present study findings suggests that lupeol from Crateva adansonii plant could be incorporated in medicinal formulations intended for treatment of chronic inflammation and diabetic disorders.

In the current investigation, the antidiabetic potential of 40 phytocompounds from Dr. Dukes phytochemical and ethanobotanical database and three antidiabetic pharmaceuticals from the market comparatively validated against hyperglycemic target proteins. Silymarin, proanthocyanidins, merremoside, rutin, mangiferin-7-O-beta-glucoside, and gymnemic acid exhibited good binding affinity toward protein targets of diabetes among the 40 phytocompounds from Dr.Dukes database over three chosen antidiabetic pharmaceutical compounds. Further these phytocompounds and sitagliptin are validated for its ADMET and bioactivity score to screen its pharmacological and pharmacokinetics properties. Silymarin, proanthocyanidins, rutin along with sitagliptin screened for DFT analysis found that phytocompounds have great Homo–Lumo orbital energies over commercial pharmaceutical sitagliptin. Finally, four complexes of alpha amylase-silymarin, alpha amylase-sitagliptin, aldose reductase-proanthocyanidins, and aldose reductase-sitagliptin screened for MD simulation and MMGBSA analysis, results shown that the phytocompounds silymarin and proanthocyanidins have strong affinities for binding to the binding pockets of alpha amylase and aldose reductase respectively over antidiabetic pharmaceuticals. Our current study proven proanthocyanidins and silymarin act as novel antidiabetic compounds toward diabetic target protein but it require clinical trial to evaluate its clinical pertinence toward diabetic target proteins. Communicated by Ramaswamy Sarma

Human corona viral infection leads to acute breathing disease and death if not diagnosed and treated properly in time. The disease can be treated with the help of simple natural compounds, which we use in day-to-day life. These natural compounds act against several diseases but their drug targeting mechanism needs to be improved for more efficient and promising applications. In the present study five compounds (gingerol, thymol, thymohydroquinone, cyclocurcumin, hydrazinocurcumin) from three Indian medicinal plants (ginger, black cumin, turmeric) and its hyaluronic acid (HA) conjugates were docked against initially deposited spike structural proteins (PDB ID 6WPT) and its mutant variant D-614G (PDB ID 6XS6). Docking study result reveals that all the HA conjugates showed the most effective inhibitor of S-protein of initially deposited and D-614G variant forms of SARS-CoV-2. The compounds like Gingerol, Thymol, Thymohydroquinone, Cyclocurcumin, Hydrazinocurcumin, Hydroxychloroquinone, and hyaluronic acid conjugates inhibit the viral protein of both wild-type and mutated S-protein of SARS-CoV-2. The molecular docking studies of phytocompounds with initial deposited and variant spike protein targets show superior binding affinity than with the commercial repurposed viral entry inhibitor hydroxychloroquine. Further, the docking result was modeled using MD simulation study shows excellent simulation trajectories between spike proteins and HA conjugates spices constituents than its free form. DFT analysis was carried out to affirm the reason behind the highest binding affinity of HA conjugates over its free form towards SARS-CoV-2 spike protein targets. Further HA conjugates synthesis and its evaluation against SARS-CoV-2

Antibiotic resistance is a global concern. Two members of the bacterial genus Elizabethkingia, namely, E. anophelis and E. meningoseptica have raised much concern in recent years because of their resistance to multiple commonly used antibiotics. Identification of multidrug resistant and pan-drug resistant bacteria has propelled the search for new antibiotics that can act on unconventional targets. Researches are going on to find out the possibility of using bacterial ribonucleotide reductases as a novel target for antibiotic development. Through in silico evaluations, this study aims for characterization and functional annotation of ribonucleotide reductase enzymes of E. anophelis and E. meningoseptica. Binding affinities with these enzymes of the compounds that have shown promising results in inhibiting Pseudomonas aeruginosa growth by acting on its ribonucleotide reductase were also assessed by molecular docking and dynamics simulations. Insights from this study will help in battling these infections in the near future. Communicated by Ramaswamy H. Sarma

Background Bioinformatics tools are of great significance and are used in different spheres of life sciences. There are wide variety of tools available to perform primary analysis of DNA and protein but most of them are available on different platforms and many remain undetected. Accessing these tools separately to perform individual task is uneconomical and inefficient. Objective Our aim is to bring different bioinformatics models on a single platform to ameliorate scientific research. Hence, our objective is to make a tool for comprehensive DNA and protein analysis. Methods To develop a reliable, straight-forward and standalone desktop application we used state of the art python packages and libraries. Bioinformatics Mini Toolbox (BMT) is combination of seven tools including FastqTrimmer, Gene Prediction, DNA Analysis, Translation, Protein analysis and Pairwise and Multiple alignment. Results FastqTrimmer assists in quality assurance of NGS data. Gene prediction predicts the genes by homology from novel genome on the basis of reference sequence. Protein analysis and DNA analysis calculates physiochemical properties of nucleotide and protein sequences, respectively. Translation translates the DNA sequence into six open reading frames. Pairwise alignment performs pairwise global and local alignment of DNA and protein sequences on the basis or multiple matrices. Multiple alignment aligns multiple sequences and generates a phylogenetic tree. Conclusion We developed a tool for comprehensive DNA and protein analysis. The link to download BMT is https://github.com/nasiriqbal012/BMT_SETUP.git.

Coronaviruses have caused enough devastation in the last two decades. These viruses have some rare features while sharing some common features. Novel coronavirus disease (nCoV-19) caused an outbreak with a fatality rate of 5%. It emerged from China and spread into many countries. The present research focused on genome analysis of Indian nCoV-19 Isolate and its translational product subjected to homology modeling and its subsequent molecular simulations to find out potent FDA approved drug for treating COVID-19. Phylogenetic analysis of SARS-CoV-2 Indian isolate shows close resemblance with 17 countries SARS-CoV-2 isolates. Homology modeling of four non-structural proteins translational product of Indian SARS-CoV-2 genome shows high similarity and allowed regions with the existing PDB deposited SARS-CoV-2 target proteins. Finally, these four generated proteins show more affinity with cobicistat, remdesivir and indinavir out of 14 screened FDA approved drugs in molecular docking which is further proven by molecular dynamics simulation and MMGBSA analysis of target ligand complex with best simulation trajectories. Overall our present research findings is that three proposed drugs namely cobicistat, remdesivir and indinavir showed higher interaction with the model SARS-CoV-2 viral target proteins from the Indian nCoV-19 isolate. These compounds could be used as a starting point for the creation of active antiviral drugs to combat the deadly COVID-19 virus during global pandemic and its subsequent viral infection waves across the globe.Communicated by Ramaswamy H. Sarma.

The present study examines cellular targeted drug delivery (CTDD) pattern of two novel Hyaluronic acid (HA) Tuberculosis Drug (TB) conjugates and its efficacy and strong binding affinity towards TB molecular protein targets. Two TB drugs ethambutol (EB) and isoniazid (IN) and their Hyaluronic acid conjugates (HA-EB & HA-IN) were tested for its metabolism, toxicity and excretion prediction through In silico tools they revealed hyaluronic acid conjugate of two TB drugs exhibited good drug profile over their free form of TB drugs. Further these four molecules subjected to In silico molecular docking study with four potential Mycobacterium tuberculosis target proteins (3PD8, 4Y0L, 5DZK and 6GAU). Molecular docking study revealed that hyaluronic conjugates (HA-EB & HA-IN) exhibit significant binding affinity and excellent docking scores with all screened molecular protein targets of TB over their free form of drug. Further molecular dynamic simulation was calculated for the four drug molecules (EB, IN, HA- EB & HA-IN) with DNA gyrase enzyme (PDB ID 6GAU) of Mycobacterium tuberculosis and the MDS results revealed that both the conjugates with the TB target protein possessed good number of interaction with binding pocket residues and good simulation scores than the free form of drugs. Communicated by Ramaswamy H. Sarma

In the present study, in silico PLpro inhibitory potential of 28 polyphenolic compounds was validated, which possesses in vivo inhibitory potential against different SARS-CoV-2 replication enzymes. Among 28 polyphenolic compounds amentoflavone, tiliroside, papyriflavanol A and indinavir exhibited good binding affinity of toward PLpro has been considered for further virtual screening processes. Comprehensive analysis indicates that amentoflavone, tiliroside, and papyriflavanol A phenolic compounds demonstrate very high stability and higher inhibiting potential to bind with the Thr158 and Leu162 dyad of PLpro among 28 phenolic compounds. Further ADME and DFT analysis of amentoflavone, and papyrifalvanol A reveal that possess excellent pharmacokinetic and molecular electrostatic potentials. MD simulation and MM-GBSA analysis of amentoflavone, tiliroside, and one anti-viral drug indinavir toward PLpro (PDB ID 6W9C) result revealed that phenolic compounds amentoflavone, tiliroside possess excellent simulation trajectories toward the binding pocket of PLpro essential to inhibit SARS-CoV-2 multiplication. Further MM-GBSA analysis affirm that PLpro-amentoflavone complex exhibit high MMGBSA score of −106.56Kcal/mol. However, further human clinical trials are essential to justify their clinical pertinence.

Human epidermal growth factor receptor 2 (HER2) is a member of epidermal growth factor receptors with tyrosine kinase functionality. The dimerization of HER2 leads to the autophosphorylation of tyr...

Human epidermal growth factor receptor 2 (HER2) is a member of epidermal growth factor receptors with tyrosine kinase functionality. The dimerization of HER2 leads to the autophosphorylation of tyrosine residues within its cytoplasmic domain, resulting in hyperactivation of several downstream signal transduction pathways that play an important role in tumorigenesis, cancer aggressiveness and cell proliferation. Amplification or overexpression of HER2 has been found in approximately 15-30% of breast cancers. Hence, HER2 serve as a therapeutic biomarker in breast cancer. Herein, we applied structural bioinformatics techniques via molecular docking, molecular dynamics simulations, Molecular mechanics/generalized Born surface area (MM/GBSA) calculations and pharmacokinetic models to identify putative HER2 inhibitors. Application of stringent molecular docking results in the identification of bioactive compounds from

Antibiotic resistance is a global concern. Two members of the bacterial genus

In-silico anti-viral activity of Hydroxychloroquine (HCQ) and its Hyaluronic Acid-derivative (HA-HCQ) towards different SARS-CoV-2 protein molecular targets were studied. Four different SARS-CoV-2 proteins molecular target i.e., three different main proteases and one helicase were chosen for In-silico anti-viral analysis. The HA-HCQ conjugates exhibited superior binding affinity and interactions with all the screened SAR-CoV-2 molecular target proteins with the exception of a few targets. The study also revealed that the HA-HCQ conjugate has multiple advantages of efficient drug delivery to its CD44 variant isoform receptors of the lower respiratory tract, highest interactive binding affinity with SARS-CoV-2 protein target. Moreover, the HA-HCQ drug conjugate possesses added advantages of good biodegradability, biocompatibility, non-toxicity and non-immunogenicity. The prominent binding ability of HA-HCQ conjugate towards Mpro (PDB ID 5R82) and Helicase (PDB ID 6ZSL) target protein as compared with HCQ alone was proven through MD simulation analysis. In conclusion, our study suggested that further in-vitro and in-vivo examination of HA-HCQ drug conjugate will be useful to establish a promising early stage antiviral drug for the novel treatment of COVID-19., Graphical abstract Image, graphical abstract

The unavailability of vaccine and medicines raised serious issues during COVID-19 pandemic and peoples from different parts of world relied on traditional medicine for their immediate recovery from COVID-19 and it found effective also. The current research aims to target COVID-19 immunological human host receptors i.e. angiotensin-converting enzyme (ACE)-2, interleukin (IL)-1β, IL-6, tumor necrosis factor-alpha (TNF-α) and protease-activated receptor (PAR)-1 using curcumin derivatives to prevent viral infection and control overproduction of early clinical responses of COVID-19. Targeting these host proteins will mitigate the infection and will filter out many complications caused by these proteins in COVID-19 patients. It is proven through computer-aided computational modeling approaches, total 30 compounds of curcumin and its derivatives were chosen. Drug-likeness parameters were calculated for curcumin and its derivatives and 20 curcumin analogs were selected for docking analysis. From docking analysis of 20 curcumin analogs against five chosen human host receptor targets reveals 11 curcumin analogs possess least binding affinity and best interaction at active sites subjected to absorption, distribution, metabolism, excretion (ADME) analysis. Density functional theory (DFT) analysis of five final shortlisted curcumin derivatives was done to show least binding affinity toward chosen host target protein. Molecular dynamics simulation (MDS) was performed to observe behavior and interaction of potential drug hydrazinocurcumin against target proteins ACE-2 and PAR-1. It was performed at 100 nanoseconds and showed satisfactory results. Finally, our investigation reveals that hydrazinocurcumin possesses immunomodulatory and anti-cytokine therapeutic potential against COVID-19 and it can act as COVID-19 warrior drug molecule and promising choice of drug for COVID-19 treatment, however, it needs further

Multiple antibiotic-resistant strains of

(1) Background: Enterococcus faecium DO is an environmental microbe, which is a mesophilic, facultative, Gram-positive, and multiple habitat microorganism. Enterococcus faecium DO is responsible for many diseases in human. The fight against infectious diseases is confronted by the development of multiple drug resistance in E. faecium. The focus of this research work is to identify a novel compound against this pathogen by using bioinformatics tools and technology. (2) Methods: We screened the proteome (accession No. PRJNA55353) information from the genome database of the National Centre for Biotechnology Information (NCBI) and suggested a potential drug target. I-TASSER was used to predict the three-dimensional structure of the protein, and the structure was optimized and minimized by different tools. PubChem and ChEBI were used to retrieve the inhibitors. Pharmacophore modeling and virtual screening were performed to identify novel compounds. Binding interactions of compounds with target protein were checked using LigPlot. pkCSM, SwissADME, and ProTox-II were used for adsorption, distribution, metabolism, excretion, and toxicity (ADMET) properties. (3) Results: Novel selected compounds have improved absorption and have better ADMET properties. Based on our results, the chemically identified inhibitor ZINC48942 targeted the receptor that can inhibit the activity of infection in E. faecium. This research work will be beneficial for the scientific community and could aid in the design of a new drug against E. faecium infections. (4) Conclusions: It was observed that novel compounds are potential inhibitors with more efficacy and fewer side effects. This research work will help researchers in testing and identification of these chemicals useful against E. faecium.

Multiple antibiotic-resistant strains of Klebsiella pneumoniae can cause life-threatening infections. Bacterial enoyl-acyl carrier protein (ACP) reductases (ENRs) are considered critical targets for developing antibiotics. Our current study aims to identify inhibitors of K. pneumoniae ENRs (FabI and FabV). Due to the unavailability of experimental structures, protein models of FabI and FabV were predicted and validated in this study. Virtual screening of the 1930 FDA-approved drug database was conducted against the active site of the FabI protein with the help of the LEA3D server, and carfilzomib was chosen among the screened drugs for further docking studies. Carfilzomib, a proteasome inhibitor used in the treatment of multiple myeloma, was among the best-suited compounds obtained from the virtual screening and was found to be bactericidal in the in vitro experiment. Carfilzomib was docked against the active sites of the FabI and FabV proteins, and the ENR of Mycobacterium tuberculosis, InhA. Carfilzomib showed a high binding affinity with all three proteins. Molecular dynamics (MD) simulations were conducted following the docking studies. MD simulations revealed that carfilzomib binds strongly to the active sites of the above mentioned ENRs. Our study found that carfilzomib is a potential inhibitor of the ENRs of K. pneumoniae and M. tuberculosis. This is a possible mechanism of its bactericidal property against M. tuberculosis observed in vitro in addition to its predicted actions on zinc-dependent metalloprotease-1 and peptide deformylase, two other drug target enzymes of M. tuberculosis. Our study suggests that this drug could be used as a lead compound to develop antibiotics that can selectively act against ENRs of bacteria, without interfering with the activities of human proteasome. Communicated by Ramaswamy H. Sarma

© 2020 Elsevier Ltd Background: Observational studies have suggested that accelerated surgery is associated with improved outcomes in patients with a hip fracture. The HIP ATTACK trial assessed whether accelerated surgery could reduce mortality and major complications. Methods: HIP ATTACK was an international, randomised, controlled trial done at 69 hospitals in 17 countries. Patients with a hip fracture that required surgery and were aged 45 years or older were eligible. Research personnel randomly assigned patients (1:1) through a central computerised randomisation system using randomly varying block sizes to either accelerated surgery (goal of surgery within 6 h of diagnosis) or standard care. The coprimary outcomes were mortality and a composite of major complications (ie, mortality and non-fatal myocardial infarction, stroke, venous thromboembolism, sepsis, pneumonia, life-threatening bleeding, and major bleeding) at 90 days after randomisation. Patients, health-care providers, and study staff were aware of treatment assignment, but outcome adjudicators were masked to treatment allocation. Patients were analysed according to the intention-to-treat principle. This study is registered at ClinicalTrials.gov (NCT02027896). Findings: Between March 14, 2014, and May 24, 2019, 27 701 patients were screened, of whom 7780 were eligible. 2970 of these were enrolled and randomly assigned to receive accelerated surgery (n=1487) or standard care (n=1483). The median time from hip fracture diagnosis to surgery was 6 h (IQR 4–9) in the accelerated-surgery group and 24 h (10–42) in the standard-care group (p

In serious consideration of the worldwide economic and environmental issues associated with the extensive use of the fuels, scientists across the world are in search of a suitable alternative to the fast depleting fossil fuel resources. To expand the range of natural resources, researchers have been re-directing their interests in biomass based bio-fuels, which can be obtained from lignocellulosic waste materials. Because of its renewable nature and most abundant availability now it has attracted considerable attention as an alternate feed stock and energy source. The lignin component should be utilized as a feedstock for value-added green chemistry product which currently seems to be the only logical alternative for sustainable development. An economical bioconversion of these materials to value-added products is a potential barrier between the current industrial demand and utilization of lignocellulosic biomass fermentation. In current pre-treatment scenario ligninolytic enzymes could provide an effective and significant alternative means for the conversion of lignocellulosic biomass into the products of interest, i.e. liquid bio-fuels. During the last several years considerable improvement in many processes related to lignocellulose biotechnology has appeared and triggered in-depth studies of lignocellulosic materials, ligninolytic microorganisms and their enzymes.

In this paper, we have developed a pilot-aided channel estimator for the direct-sequence code-division multiple-access (DS-CDMA) communication system based on the minimum mean-square error (MMSE) estimate of the attenuated antipodal transmitted signals in the presence of both fading and noise. Specifically we have considered the scenario of downlink synchronous DS-CDMA transmitter along with Rayleigh fading and the additive white Gaussian noise (AWGN) environment. The proposed receiver consists of a matched filter which is matched to the signature waveform of the desired user followed by a nonlinear estimation device. This non-linear device results from the MMSE estimate of the attenuated transmitted signal. Simulations were carried out to corroborate the theoretical findings for different values of signal-to-noise ratio (SNR) and number of users.

The purpose of the present work was to study the production and process parameters optimization for the synthesis of cellulase from Trichoderma viride in solid state fermentation (SSF) using an agricultural wheat straw as substrates; as fungal conversion of lignocellulosic biomass for cellulase production is one among the major increasing demand for various biotechnological applications. An optimization of process parameters is a necessary step to get higher yield of product. Several kinetic parameters like pretreatment, extraction solvent, substrate concentration, initial moisture content, pH, incubation temperature and inoculum size were optimized for enhanced production of third most demanded industrially important cellulase. The maximum cellulase enzyme activity 398.10±2.43 μM/mL/min was achieved when proximally analyzed lignocellulosic substrate wheat straw inocubated at 2% HCl as pretreatment tool along with distilled water as extraction solvent, 3% substrate concentration 40% moisture content with optimum pH 5.5 at 45°C incubation temperature and 10% inoculum size., {"references":["M. C. Chang, \"Harnessing energy from plant biomass,\" Curr. Opin.\nChem. Biol., vol. 11, pp. 677-684, 2007.","D. Damisa, J. B. Ameh, and V. J. Umoh, \"Effect of chemical\npretreatment of some lignocellulosic wastes on the recovery of cellulase\nfrom Aspergillus niger AH3 mutant,\" Afr. J. Biotechnol., vol. 7, no. 14,\npp. 2444-2450, 2008.","L. R. Lynd, R. T. Elander, and C. E. Wyman, \"Likely features and costs\nof mature biomass ethanol technology,\" Appl. Biochem. Biotechnol., vol.\n57-58, pp. 741-761, 1996.","M. Raimbault, \"General and microbiological aspects of solid substrate\nfermentation,\" Elect. J. 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