Wideband Direct Detection Constraints on Hidden Photon Dark Matter with the QUALIPHIDE Experiment

We report direction detection constraints on the presence of hidden photon dark matter with masses between 20-30  μeV c^{-2}, using a cryogenic emitter-receiver-amplifier spectroscopy setup designed as the first iteration of QUALIPHIDE (quantum limited photons in the dark experiment). A metallic dish sources conversion photons, from hidden photon kinetic mixing, onto a horn antenna which is coupled to a C band kinetic inductance traveling wave parametric amplifier, providing for near quantum-limited noise performance. We demonstrate a first probing of the kinetic mixing parameter χ to the 10^{-12} level for the majority of hidden photon masses in this region. These results not only represent stringent constraints on new dark matter parameter space, but are also the first demonstrated use of wideband quantum-limited amplification for astroparticle applications.

First Constraints from DAMIC-M on Sub-GeV Dark-Matter Particles Interacting with Electrons

We report constraints on sub-GeV dark matter particles interacting with electrons from the first underground operation of DAMIC-M detectors. The search is performed with an integrated exposure of 85.23 g days, and exploits the subelectron charge resolution and low level of dark current of DAMIC-M charge-coupled devices (CCDs). Dark-matter-induced ionization signals above the detector dark current are searched for in CCD pixels with charge up to 7e^{-}. With this dataset we place limits on dark matter particles of mass between 0.53 and 1000  MeV/c^{2}, excluding unexplored regions of parameter space in the mass ranges [1.6,1000]  MeV/c^{2} and [1.5,15.1]  MeV/c^{2} for ultralight and heavy mediator interactions, respectively.

Dexmedetomidine for adult cardiac surgery: a systematic review, meta-analysis and trial sequential analysis

The effects of dexmedetomidine in adults undergoing cardiac surgery are inconsistent. We conducted a systematic review and meta-analysis to analyse the effects of peri-operative dexmedetomidine in adults undergoing cardiac surgery. We searched MEDLINE via Pubmed, EMBASE, Scopus and Cochrane for relevant randomised controlled trials between 1 January 1990 and 1 March 2022. We used the Joanna Briggs Institute methodology checklist to assess study quality and the GRADE approach to certainty of evidence. We assessed the sensitivity of results to false data. We used random-effects meta-analyses to analyse the primary outcomes: durations of intensive care and tracheal intubation. We included 48 trials of 6273 participants. Dexmedetomidine reduced the mean (95%CI) duration of intensive care by 5.0 (2.2-7.7) h, p = 0.001, and tracheal intubation by 1.6 (0.6-2.7) h, p = 0.003. The relative risk (95%CI) for postoperative delirium was 0.58 (0.43-0.78), p = 0.001; 0.76 (0.61-0.95) for atrial fibrillation, p = 0.015; and 0.49 (0.25-0.97) for short-term mortality, p = 0.041. Bradycardia and hypotension were not significantly affected. Trial sequential analysis was consistent with the primary meta-analysis. Adjustments for possible false data reduced the mean (95%CI) reduction in duration of intensive care and tracheal intubation by dexmedetomidine to 3.6 (1.8-5.4) h and 0.8 (0.2-1.4) h, respectively. Binary adjustment for methodological quality at a Joanna Briggs Institute score threshold of 10 did not alter the results significantly. In summary, peri-operative dexmedetomidine reduced the durations of intensive care and tracheal intubation and the incidence of short-term mortality after adult cardiac surgery. The reductions in intensive care stay and tracheal intubation may or may not be considered clinically useful, particularly after adjustment for possible false data.

Igg4 Related Disease of Skull Base-A Diagnostic Challenge

IgG4 related disease (IgG4-RD) is a fibro-inflammatory disease, with tendency to affect any organ of the body. However, few cases affecting the skull base have been reported in literature. We report one such case in an elderly male, who presented us with a mass lesion in the skull base that mimicked nasopharyngeal malignancy. On thorough clinical history, examination, and investigations, IgG4 Related disease was diagnosed and treatment was started for it. The patient responded well to the treatment and is on follow up.

Imaging and Intervention in Internal Carotid Artery Pseudoaneurysm Secondary to Retropharyngeal Abscess

Vascular complications secondary to retropharyngeal abscess are rarely encountered in the post antibiotic era and include compression of internal carotid artery (ICA), infective arteritis and pseudoaneurysm formation. Post infectious ICA pseudoaneurysm formation is reported predominantly in the paediatric age group and rare in adults. We report a case of retropharyngeal abscess complicated by ICA pseudoaneurysm in an adult successfully managed by endovascular approach.

FMS (Federated Model as a service) for healthcare: an automated secure-framework for personalized recommendation system

The Healthcare sector has been emerging on the platform ofdata science. And data scientists are often using machine learningtechniques based on historical data to create models, makepredictions or recommendations. This paper aims to providebackground and information for the community on the benefitsand variants of Federated Learning (F.L.) with other technologiesfor medical applications and highlight key considerationsand challenges of F.L. implementation in the digital health background.With this FMaaS, we envisage a future for digital federatedhealth. We hope to empower and raise awareness aboutthe environment and fog computing to provide a more secureand better-analyzing environment. The AutoML framework isused to generate and optimize machine learning models usingautomatic engineering tools, model selection, and hyperparameteroptimization on fog nodes. Thus, making the systemmore reliable and secure for each individual by preserving privacyat their end devices. And this will lead to a personalizedrecommendation system for each individual associated withthis framework by deploying the Model to their devices foron-device inferences through the concept of differential privateModel averaging. With this framework, users don’t haveto compromise with privacy, and all their sensitive data will besecure on their end devices.

Increased classical monocyte subsets in South Asians compared to White Caucasians at risk for coronary atherosclerosis

Background

South Asians (SA) have an increased prevalence of coronary artery disease (CAD) and myocardial infarction compared with age- and sex-adjusted White Caucasians (WC). The mechanism for this increased risk is poorly understood. While classical CD14++CD16- monocytes act as independent predictors of cardiovascular disease, differences in the distribution of monocyte subsets between SA and WC have not been established.

Purpose

We aimed to determine if differences exist in monocyte subsets between SA and WC at risk for CAD.

Methods

Our cohort consisted of 119 consecutively enrolled patients (59 SA, 60 WC) at intermediate or higher risk for CAD by the INTERHEART score using self-reported history and physical exam. A single blood sample was collected prospectively for the purpose of monocyte analysis. Flow cytometry using dual colour fluorescence (CD14, CD16) within the monocyte gate was used to identify monocyte subsets (classical, intermediate and non-classical) by staff blinded to the individuals' characteristics.

Variables were compared using Mann-Whitney U test and Chi-squared test, as appropriate. Eta coefficient was calculated to analyze the relationship between ethnicity and proportion of monocyte subsets. Eta squared values were calculated to assess the impact of ethnicity on monocyte subset proportions.

Results

The SA group consisted of 64% males with a mean age of 54 (± 9), while the WC group consisted of 55% males with a mean age of 59 (± 7). Both groups had similar body mass index, rates of hypertension, dyslipidemia and family history of premature CAD. Compared to WC, SA had higher prevalence of diabetes (36% vs. 13%, p=0.005) and hemoglobin A1C levels (6.0±1.1% vs. 5.6±0.6%, p<0.001). SA patients had a higher proportion (85.3±10.7% vs. 81.4±11.0%, p=0.009) and total level (449.0±180.4 vs. 388±127.4, p=0.010) of classical CD14++CD16- monocytes compared to WC. There was no difference between the two groups in the proportion of intermediate CD14++CD16+ and non-classical CD14+CD16++ monocytes. There was no association between diabetes and the proportion of monocyte subsets. Ethnicity had a moderate association with the proportion of classical CD14++CD16- monocytes (Eta coefficient = 0.525) with a large effect size (Eta squared = 27.5%). The association of ethnicity with intermediate CD14++CD16+ and non-classical CD14+CD16++ monocytes was either weak or negligible with minimal to no effect size.

Conclusion

In patients with substantive risk for CAD, SA had a significantly higher proportion and level of classical CD14++CD16- monocytes compared to WC. Our findings provide a novel insight into the potential mechanism of increased CAD susceptibility amongst SA compared to WC. Future studies are needed to determine whether these ethnic differences in the distribution of monocyte subsets can predict susceptibility to developing CAD and suffering atherothrombotic events.

Funding Acknowledgement

Type of funding sources: Public Institution(s). Main funding source(s): Cardiology Academic Practice Plan grant at the University of British Columbia

Results on Low-Mass Weakly Interacting Massive Particles from an 11 kg d Target Exposure of DAMIC at SNOLAB

We present constraints on the existence of weakly interacting massive particles (WIMPs) from an 11 kg d target exposure of the DAMIC experiment at the SNOLAB underground laboratory. The observed energy spectrum and spatial distribution of ionization events with electron-equivalent energies >200  eV_{ee} in the DAMIC CCDs are consistent with backgrounds from natural radioactivity. An excess of ionization events is observed above the analysis threshold of 50  eV_{ee}. While the origin of this low-energy excess requires further investigation, our data exclude spin-independent WIMP-nucleon scattering cross sections σ_{χ-n} as low as 3×10^{-41}  cm^{2} for WIMPs with masses m_{χ} from 7 to 10  GeV c^{-2}. These results are the strongest constraints from a silicon target on the existence of WIMPs with m_{χ}<9  GeV c^{-2} and are directly relevant to any dark matter interpretation of the excess of nuclear-recoil events observed by the CDMS silicon experiment in 2013.

Extracorporeal membrane oxygenation in peripartum cardiomyopathy: A review of the ELSO Registry

AIMS

Data on the use of extracorporeal membrane oxygenation (ECMO) for cardiogenic shock in peripartum cardiomyopathy (PPCM) is limited. We queried the Extracorporeal Life Support Organization (ELSO) Registry for PPCM patients treated with ECMO in order to characterize demographic and clinical features, complications, survival, and variables associated with mortality.

METHODS AND RESULTS

This was a retrospective review of patients voluntarily entered into the ELSO Registry. De-identified data was collected on patients with a diagnosis of PPCM based on ICD-9/ICD-10 coding who received ECMO between 2007 and 2019. Collected data included demographics, ECMO mode, cannulation strategies, pre-ECMO ventilator, biochemical, and hemodynamic parameters, run duration, complications, and survival to wean off ECMO and hospital discharge. Our primary outcome measure was survival to discharge. In the final analysis, 88 veno-arterial (VA) ECMO patients were included. Overall, 72% of patients were weaned off ECMO, including 10% who were weaned to ventricular assist device or heart transplantation, and 64% survived to hospital discharge. Extracorporeal cardiopulmonary resuscitation (ECPR) was performed in 11% of patients with 60% survival. Factors associated with decreased survival included neurologic complications (p = 0.03), specifically central nervous system hemorrhage (p = 0.01).

CONCLUSION

Our review is the largest to date of PPCM patients supported with VA ECMO for cardiogenic shock. ECMO and ECPR are valuable forms of short-term mechanical circulatory support with acceptable mortality profiles for PPCM patients who remain refractory to aggressive medical management. Complications should be meticulously avoided, especially neurologic complications.

Density Functional Theory and Molecular Simulation Studies for Prioritizing Anaplastic Lymphoma Kinase Inhibitors

Targeting anaplastic lymphoma kinase (ALK) is one of the important treatment strategies for the treatment of non-small cell lung cancer (NSCLC). In the present perspective, multidimensional approaches were used for the identification of ALK inhibitors. Initially, an e-pharmacophore model was generated using the PHASE algorithm and was used as a 3D query to screen 468,200 molecules of ASINEX database. Prior to the screening process, the model was evaluated for its significance and the ability to differentiate actives from inactives, using enrichment analysis. Subsequently, the hierarchical docking protocol and binding free energy calculations were instigated using GLIDE algorithm and Prime module, respectively. Further, the pharmacokinetic/pharmacodynamics (PK/PD) properties and toxicities of the hit compounds were envisaged respectively using QikProp program, Osiris explorer, and Protox-II algorithm. These approaches retrieved two hits namely BAS 00137817 and BAS 00680055 with acceptable absorption, distribution, metabolism, excretion and toxicity (ADMET) properties and higher affinity towards ALK protein. Additionally, density functional theory calculations and molecular dynamics simulations were performed to validate the inhibitory activity of the lead compounds. It is noteworthy to mention that all the hits constitute of particular scaffolds which play a major role in the downregulation of some ALK-positive lung cancer pathways. We speculate that the outcomes of this research are of substantial prominence in the rational designing of novel and efficacious ALK inhibitors.

Constraints on Light Dark Matter Particles Interacting with Electrons from DAMIC at SNOLAB

We report direct-detection constraints on light dark matter particles interacting with electrons. The results are based on a method that exploits the extremely low levels of leakage current of the DAMIC detector at SNOLAB of 2-6×10^{-22}  A cm^{-2}. We evaluate the charge distribution of pixels that collect <10e^{-} for contributions beyond the leakage current that may be attributed to dark matter interactions. Constraints are placed on so-far unexplored parameter space for dark matter masses between 0.6 and 100  MeV c^{-2}. We also present new constraints on hidden-photon dark matter with masses in the range 1.2-30  eV c^{-2}.

E-pharmacophore hypothesis strategy to discover potent inhibitor for influenza treatment

The surface protein of Influenza virus, Neuraminidase (NA), is believed to play a critical role in the release of new viral particle and thus spreads infection. It has been recognized as a valid drug target for anti-influenza therapy. Despite the number of available approved drugs for the influenza infection treatment, the emergence of resistant variants with novel mutations are the foremost challenges for the currently used NA inhibitors. Thus, the current investigation was carried out to ascertain potent inhibitors using computational strategies such as e-pharmacophore based virtual screening and docking approach. A three-dimensional e-pharmacophore hypothesis was generated based on the chemical features of complexes of the drugs and NA protein using PHASE module of Schrödinger suite. The generated hypothesis consisted of one hydrogen bond acceptor (A), two hydrogen bond donors (D), one negatively charged group (N) and one aromatic ring (R), ADDNR. The hypothesis was further evaluated for its integrity using enrichment analysis and used to filter out molecules with similar pharmacophoric features from approved, investigational and experimental subsets of DrugBank and ZINC database. In addition, ligand filtration was performed to curb down the molecules to an efficient collection of hit molecules by using Lipinski “rule of five and ADME analysis by using Qikprop module. Overall, the results from our analysis suggest that compound lisinopril and formoterol could serve as potent antiviral compounds for the treatment of influenza A virus infection. It is worth mentioning that the results correlate well with literature evidences.

Discovery of novel anaplastic lymphoma kinase inhibitors: Structure and energy-based pharmacophore strategy

The clinical outcomes in patients with non-small cell lung cancer have improved, as a result of anaplastic lymphoma kinase (ALK) inhibition. Therefore in the current study, substantial effort has been made to identify ALK inhibitors through systematic virtual screening experiment consisting of e-pharmacophore and pharmacophore perception techniques. Initially, a pharmacophore model (AAAHP.193) and an e-pharmacophore model (DDRRR) encompassing the whole dataset of 12 known ALK inhibitors were developed. The hypotheses could retrieve effective compounds from DrugBank database (8621 molecules), which were then subjected to molecular docking and ADME prediction. These approaches resulted in the identification of five hits, namely, nebivolol, HDY, D42, 796, and LZE having higher Glide docking scores and promising ADME properties with augmented CNS involvement. Moreover, molecular dynamics simulations were performed to validate the inhibitory activity of the hit compounds, and density functional theory calculations were carried out to scrutinize the chemical reactivity of the hits. Subsequent interaction and scaffold analysis identified prominent interactions of the hits with ALK kinase domain and scaffolds with anti-tumor activity against lung cancer cell lines. We strongly believe that the study provides an outlook for the sighting of novel and potent ALK inhibitors in the near future.

Exploring the Lead Compounds for Zika Virus NS2B-NS3 Protein: an e-Pharmacophore-Based Approach

The rapid spread of the Zika virus and its association with the abnormal brain development constitute a global health emergency. With a continuing spread of the mosquito vector, the exposure is expected to accelerate in the coming years. Despite number of efforts, there is still no proper vaccine or medicine to combat this virus. Of note, the NS2B-NS3 protein is proven to be the potential target for the Zika virus therapeutics. Hence, e-pharmacophore-based drug design strategy was employed to identify potent inhibitors of NS2B-NS3 protein from ASINEX database consisting of 467,802 molecules. A 3D e-pharmacophore model was generated using PHASE module of Schrödinger Suite. The generated model consists of one hydrogen bond acceptor (A), two hydrogen bond donors (D), and two aromatic rings (R), ADDRR. The model was further evaluated for its ability to screen actives using enrichment analysis. Subsequently, high-throughput virtual screening protocol was employed, and the resultant hit molecules were also examined for its binding free energies and ADME properties using Prime MM-GBSA and Qikprop module of Schrodinger packages, respectively. Finally, the screened hit molecule was subjected to molecular dynamics simulation to examine its stability. Overall, the results from our analysis suggest that compound BAS 19192837 could be a potent inhibitor for the NS2B-NS3 protein of the Zika virus. It is also noteworthy to mention that our results are in good agreement with literature evidences. We hope that this result is of immense importance in designing potential drug molecules to combat the spread of Zika virus in the near future.

Bioactive Amento flavone isolated from Cassia fistula L. leaves exhibits therapeutic efficacy

Novel natural compounds endowed with sound bioactivities are currently the utmost need as leads toward drug discovery. For the first time, here, we report the presence of Amentoflavone (biflavonoid) in the leaves of Cassia fistula L. Structural characterization was carried out using ultraviolet–visible spectrophotometer, Fourier transform infrared, nuclear magnetic resonance, and thin-layer chromatography. The isolated compound was further evaluated for its bioactivity. The compound demonstrated moderate cytotoxicity in liver carcinoma (HepG2) cells, and the comparative analysis for the standard and normal compound has also been validated. Antioxidant potential was assessed by DPPH assay. Furthermore, efficacy of the compound in the aforesaid assays asserts its bioactivity and subsequently its importance as a potent therapeutic. Our study strongly suggests that Amentoflavone present in the leaf extracts of C. fistula L. definitely holds promise in the pharmaceutical industry.

First Direct-Detection Constraints on eV-Scale Hidden-Photon Dark Matter with DAMIC at SNOLAB

We present direct detection constraints on the absorption of hidden-photon dark matter with particle masses in the range 1.2-30  eV c^{-2} with the DAMIC experiment at SNOLAB. Under the assumption that the local dark matter is entirely constituted of hidden photons, the sensitivity to the kinetic mixing parameter κ is competitive with constraints from solar emission, reaching a minimum value of 2.2×10^{-14} at 17  eV c^{-2}. These results are the most stringent direct detection constraints on hidden-photon dark matter in the galactic halo with masses 3-12  eV c^{-2} and the first demonstration of direct experimental sensitivity to ionization signals <12  eV from dark matter interactions.

Discovery of potential ALK inhibitors by virtual screening approach

Crizotinib is an anticancer drug used for the treatment of non-small cell lung cancer. Evidences available suggest that there is a development of an acquired resistance against crizotinib action due to the emergence of several mutations in the ALK gene. It is therefore necessary to develop potent anti-cancer drugs for the treatment of crizotinib resistance non-small cell lung cancer types. In the present study, a novel class of lead molecule was identified using virtual screening, molecular docking and molecular dynamic approach. The virtual screening analysis was done using PubChem database by employing crizotinib as query and the data reduction was carried out by using molecular docking techniques. The bioavailability of the lead compounds was examined with the help of Lipinski rule of five. The screened lead molecules were analyzed for toxicity profiles, drug-likeness and other physico-chemical properties of drugs by OSIRIS program. Finally, molecular dynamics simulation was also performed to validate the binding property of the lead compound. Our analysis clearly indicates that CID 11562217, a nitrile containing compound (pyrazole-substituted aminoheteroaryl), could be the potential ALK inhibitor certainly helpful to overcome the drug resistance in non-small cell lung cancer.

Investigation of Paclitaxel Resistant R306C Mutation in β-Tubulin—A Computational Approach

Paclitaxel is the most effective chemotherapeutic agent used for the treatment of a broad spectrum of solid tumors. However, observed paclitaxel resistance in clinical trials presents one of the major obstacles for cancer chemotherapy. Most importantly, resistance due to β-tubulin mutations (R306C) has been intensely debated in recent years. Despite all efforts, mechanism of resistance is still not well understood. In this study, computational techniques were employed to uncover the effect of R306C mutation in the β-tubulin structure and its function. The tools such as I-Mutant, CUPSAT and Fold-X were employed to address the consequence of R306C mutation in the structural stability of β-tubulin. Further, molecular docking and molecular dynamics study was employed to understand the functional impact of β-tubulin mutation. Our results suggest that the R306C mutation causes a significant reduction in the binding affinity between β-tubulin and paclitaxel. Further, docked complex analysis indicates that destruction of conservative hydrogen bond maintained by the residues Arg282 and Gly360 should be responsible for the large conformation changes of the binding pocket in R306C mutant. Finally, molecular dynamics simulations study confirms the stable binding of paclitaxel with native type β-tubulin structure rather than mutant (R306C) type. We certainly believe that this study will provide useful guidance for the development of novel inhibitors that are less susceptible to drug resistance.

Discovery of a potential lead compound for treating leprosy with dapsone resistance mutation in M. leprae folP1

A potential lead compound to overcome dapsone resistance in M. leprae folP1 was identified by a virtual screening strategy.

Molecular level understanding of resistance to nalidixic acid in Salmonella enteric serovar typhimurium associates with the S83F sequence type

Nalidixic acid is an antibiotic drug used for treatment of Salmonellosis, a gastrointestinal infection. DNA gyrase subunit A (GyrA) of Salmonella typhimurium is the drug target for nalidixic acid. Resistance of GyrA to nalidixic acid, because of a point mutation in S. typhimurium, was recently reported. Substitution of Phe in place of Ser at locus 83 in GyrA of S. typhimurium has been experimentally associated with nalidixic acid resistance. Despite recent efforts, the mechanism of this resistance is not well understood. In this investigation we used computational techniques to address this shortcoming. Our results showed that contact with residue Arg 91 is certainly important for efficient binding of nalidixic acid to the target protein, and that mutation of this residue results in 180° rotation of the antibiotic in its binding pocket, around its own long axis. It is hoped these findings may enable development of new antibiotics against resistant forms of Salmonella.

Computational identification of significant missense mutations in AKT1 gene

The AKT1 gene is of supreme importance in cell signaling and human cancer. In the present study, we aim to understand the phenotype variations that were believed to have the highest impact in AKT1 gene by different computational approaches. The analysis was initiated with SIFT tool followed by PolyPhen 2.0, I-Mutant 2.0, and SNPs&GO tools with the aid of 22 nonsynonymous (nsSNPs) retrieved from dbSNP. A total of five AKT1 variants such as E17K, E17S, E319G, L357P, and P388T are found to exert deleterious effects on the protein structure and function. Furthermore, the molecular docking study indicates the lesser binding affinity of inhibitor with the mutant structure than the native type. In addition, root mean square deviation and hydrogen bond details were also analyzed in the 10 ns molecular dynamics simulation study. These computational evidences suggested that E17K, E17S, E319G, L357P, and P388T variants of AKT1 could destabilize the protein networks, thus causing functional deviations of protein to some extent. Moreover, the findings strongly indicate that screening for AKT1, E17K, E17S, E319G, L357P, and P388T variants may be useful for disease molecular diagnosis and also to design the potential AKT inhibitors.

Analyzing resistance pattern of non-small cell lung cancer to crizotinib using molecular dynamic approaches

Crizotinib is the potential anticancer drug used for the treatment of non-small cell lung cancer (NSCLC) approved by FDA in 2011. The main target for the crizotinib is anaplastic lymphoma kinase (ALK). Evidences available indicate that double mutant ALK (L1196M and G1269A) confers resistance to crizotinib. However, how mutation confers drug resistance is not well-understood. Hence, in the present study, molecular dynamic (MD) simulation approach was employed to study the impact of crizotinib binding efficacy with ALK structures at a molecular level. Docking results indicated that ALK double mutant (L1196M and G1269A) significantly affected the binding affinity for crizotinib. Furthermore, MD studies revealed that mutant ALK-crizotinib complex showed higher deviation, higher fluctuation and decreased number of intermolecular H-bonds, when compared to the native ALK-crizotinib complex. These results may be immense importance for the molecular level understanding of the crizotinib resistance pattern and also for designing potential drug molecule for the treatment of lung cancer.

Insight into the oseltamivir resistance R292K mutation in H5N1 influenza virus: a molecular docking and molecular dynamics approach

H5N1 is a subtype of the influenza A virus that can cause disease in humans and many other animal species. Oseltamivir (Tamiflu) is a potent and selective antiviral drug employed to fight the flu virus in infected individuals by inhibiting neuraminidase (NA), a flu protein responsible for the release and spread of the progeny virions. However, oseltamivir resistance has become a critical problem. In particular, influenza strains with a R292K NA mutation are highly resistant to the oseltamivir. Though the biological functions of the mutations have previously been characterized, the structural basis behind the reduced catalytic activity and reduced protein level is not clear. In this study, molecular docking and molecular dynamics (MD) approach were employed to investigate the structural and dynamical effects throughout the protein structure and specifically, at the drug-binding pocket. Furthermore, potential of mean force was analyzed using explicit solvent MD simulations with the umbrella sampling method to explore the free energy of binding. It is believed that this study provides valuable guidance for the resistance management of oseltamivir and designing of more potent antiviral inhibitor.

Discovery of Potential, Non-Toxic Influenza Virus Inhibitor by Computational Techniques

Influenza infection continues to be a major problem in many parts of the world. Rimantadine is a first-line drug used to treat the influenza infection by targeting M2 proton channel. However, S31N mutation in M2 proton channel diminishes the efficiency of rimantadine and creates resistance. To address this issue, the present study was aimed to screen the effective lead candidate against drug resistance strain of influenza from DrugBank database. Initially, the lead molecules were filtered using Lipinski rule of five and the drug likeliness property. Subsequently, the data reduction was carried out by employing molecular docking study. Finally, molecular dynamics simulations techniques were performed to validate the lead compound. Most importantly, the -p LD50 of the screened lead molecule was calculated using CORAL software to estimate the Rat oral toxicity. Accordingly, memantine may possibly become a promising lead compound of rimantadine-resistant influenza virus strain.

Exploring the structural and functional impact of the ALK F1174L mutation using bioinformatics approach

Crizotinib is the most effective and the only drug that has been approved for the treatment of anaplastic lymphoma kinase (ALK)-positive lung cancer. Reports suggest that there is a development of an acquired resistance against crizotinib action due to the emergence of several mutations in the ALK gene and F1174L is one such mutation. In this study, we used molecular docking and molecular dynamics (MD) approach to decipher the effect of F1174L mutation in drug-target binding. Docking results suggest that crizotinib was found to adopt the most promising conformations to the native-type ALK by identifying the M1199 residue as a prospective partner for making a hydrogen bond as compared to the mutant-type ALK. MD results showed that the average atom, especially atoms of the native-type ALK-crizotinib complex, movements were less, displayed less fluctuation, fast convergence of energy, and changes in geometry. This shows the stable binding of crizotinib with the native-type ALK in comparison to the mutant-type ALK. We believe that this study could be useful for the logical design of stronger, more selective, and more consistent ALK inhibitor against drug-resistant F1174L mutation.

Identification of potential inhibitor targeting enoyl-acyl carrier protein reductase (InhA) in Mycobacterium tuberculosis: a computational approach

The explosive global spreading of multidrug resistant Mycobacterium tuberculosis (Mtb) has provoked an urgent need to discover novel anti-TB agents. Enoyl-acyl carrier protein reductase from Mtb is a well-known and thoroughly studied target for anti-tuberculosis therapy. In the present analysis, virtual screening techniques performed from Drug bank database by utilizing INH-NAD adduct as query for the discovery of potent anti-TB agents. About 100 molecules sharing similar scaffold with INH-NAD adduct were analyzed for their binding effectiveness. The initial screening based on number of rotatable bonds gave 42 hit molecules. Subsequently, physiochemical properties such as toxicity, solubility, drug-likeness and drug score were analyzed for the filtered set of compounds. Final data reduction was performed by means of molecular docking and normal mode docking analysis. The result indicates that DB04362, adenosine diphosphate 5-(beta-ethyl)-4-methyl-thiazole-2-carboxylic acid could be a promising lead compound and be effective in treating sensitive as well as drug-resistant strains of Mtb. We believe that this novel scaffolds might be the good starting point for lead compounds and certainly aid the experimental designing of anti-tuberculosis drug in a short time.

An unusual manifestation of Cardiac Sarcoidosis

Non tropical, non hypereosinophilic endo myocardial fibrosis has been reported in literature and is a rare entity.  Cardiac Sarcoidosis manifesting as non-tropical, non hypereosinophilic endomyocardial fibrosis is unknown, though it classically affects the left ventricle and is not associated with specific risk factors. We describe an atypical presentation of sarcoidosis as non-tropical non hypereosinophilic endomyocardial fibrosis in a middle aged female who presented to us with refractory heart failure.