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Coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is a dreaded pandemic in lack of specific therapeutic agent. SARS-CoV-2 Mpro, an essential factor in viral pathogenesis, is recognized as a prospective therapeutic target in drug discovery against SARS-CoV-2. To tackle this pandemic, Food and Drug Administration-approved drugs are being screened against SARS-CoV-2 Mpro via in silico and in vitro methods to detect the best conceivable drug candidates. However, identification of natural compounds with anti-SARS-CoV-2 Mpro potential have been recommended as rapid and effective alternative for anti-SARS-CoV-2 therapeutic development. Thereof, a total of 653 natural compounds were identified against SARS-CoV-2 Mpro from NP-lib database at MTi-OpenScreen webserver using virtual screening approach. Subsequently, top four potential compounds, i.e. 2,3-Dihydroamentoflavone (ZINC000043552589), Podocarpusflavon-B (ZINC000003594862), Rutin (ZINC000003947429) and Quercimeritrin 6”-O-L-arabinopyranoside (ZINC000070691536), and co-crystallized N3 inhibitor as reference ligand were considered for stringent molecular docking after geometry optimization by DFT method. Each compound exhibited substantial docking energy >−12 kcal/mol and molecular contacts with essential residues, including catalytic dyad (His41 and Cys145) and substrate binding residues, in the active pocket of SARS-CoV-2 Mpro against N3 inhibitor. The screened compounds were further scrutinized via absorption, distribution, metabolism, and excretion - toxicity (ADMET), quantum chemical calculations, combinatorial molecular simulations and hybrid QM/MM approaches. Convincingly, collected results support the potent compounds for druglikeness and strong binding affinity with the catalytic pocket of SARS-CoV-2 Mpro. Hence, selected compounds are advocated as potential inhibitors of SARS-CoV-2 Mpro and can be utilized in drug development against SARS-CoV-2 infection.

The strawberry (Fragaria × ananassa var. seolhyang) is commonly used as fruit but medicinal importance for the non-edible roots which contained a pool of bioactive compounds are not yet studied against tyrosinase inhibition. This study demonstrates the potential of bioactive compounds in root and rhizome of strawberry against tyrosinase inhibition using in silico and in vitro approaches. ADMET profiling and molecular docking analysis show druglikeness for the major bioactive compounds in strawberry root extract (SRE), i.e. procyanidin, procyanidin trimer, kaempferol 3-O-(4-O-p-coumaroyl)-glucoside, neochlorogenic acid, procyanidin tetramer, and quercetin-3-O-pentoside, and docking score between −7.8 to −6.3 kcal/mol with tyrosinase, respectively. Also, these docked complexes exhibit substantial stability contributed by strong hydrogen bonding, hydrophobic interactions, and polar interactions in 100 ns molecular dynamics simulation; further supported by essential dynamics and dynamic cross-correlation matrix analysis. Also, in vitro functional assays support in silico predicted results in terms of substantial cytoprotective and cellular antioxidant potential in Raw 264.7 macrophages challenged by H2O2 as well as non-significant toxicity in zebrafish. SRE exhibits the lowest (5.8%) and highest (42.8%) inhibition of tyrosinase at 100 and 500 μg/ml concentrations, respectively. These results advocated functional properties and tyrosinase inhibition potential of SRE; and hence, SRE can be used in medicinal or cosmetic applications.

Several therapeutic monoclonal antibodies are approved by FDA against the PD-1/PD-L1 (programmed death-1/programmed death ligand-1) immune checkpoint, which has been a great success in cancer treatment. However, existing therapeutics, including small molecules inhibitors against PD-L1 checkpoint have certain drawbacks such as high cost and drug resistance that challenge the current available anti-PD-L1 therapy. Thereof, this study presents the screening of 32552 compounds from Natural Product Atlas database against PD-L1, including three steps of structure-based virtual screening and binding free energy refinement for the selection of potent PD-L1 inhibitors. Subsequently, five natural compounds, i.e., Neoenactin B1, Actinofuranone I, Cosmosporin, Ganocapenoid A, and 3-[3-hydroxy-4-(3-methylbut-2-enyl)phenyl]-5-(4-hydroxybenzyl)-4-methyldihydrofuran-2(3H)-one, were collected based on the ADMET (absorption, distribution, metabolism, excretion, and toxicity) profiling and binding free energy (>-70 kcal/mol) for further computational investigation by comparison to co-crystallised ligand, i.e. JQT inhibitor. Based on interaction mapping, explicit 100 ns molecular dynamics simulation, and post binding free energy calculations, all the compounds exhibited intermolecular interactions (hydrogen and hydrophobic) with essential residues and substantial complex stability by comparison to the JQT inhibitor. Collectively, the calculated results advocate the selected natural compounds as the putative potent inhibitors of PD-L1 and, therefore, can be considered for further development of PD-L1 immune checkpoint inhibitor in cancer immunotherapy.

Zika virus (ZIKV) has been characterized as one of the potential pathogens and placed under future epidemic outbreaks by the WHO. However, lack of potential therapeutics can result in uncontrolled pandemic like other human pandemic viruses; therefore, prioritized effective therapeutics development has been recommended against ZIKV. In this context, the present study adopted the strategy to explore the lead compounds from Azadirachta indica against ZIKV via concurrent inhibition of the ZIKVpro and ZIKVRdRp proteins using molecular simulations. Initially, structure-based virtual screening of 44 bioflavonoids reported in Azadirachta indica against the crystal structures of targeted ZIKV proteins resulted in the identification of top four common bioflavonoids, viz. rutin, nicotiflorin, isoquercitrin, and hyperoside. These compounds showed substantial docking energy (-7.9 to -11.01 kcal/mol) and intermolecular interactions with essential residues of ZIKVpro (His51, Asp74, and Ser135) and ZIKVRdRp (Asp540, Ile799, and Asp665) by comparison to the reference compounds, O7N inhibitor (ZIKVpro) and Sofosbuvir inhibitor (ZIKVRdRp). Long interval molecular dynamics simulation (500 ns) on the selected docked poses reveals the stability of respective docked complexes contributed by intermolecular hydrogen bonds and hydrophobic interactions. The predicted complex stability was further supported by calculated end-point binding free energy using molecular mechanics generalized born surface area (MM/GBSA) method. Consequently, the identified common bioflavonoids are recommended as promising therapeutic inhibitors of ZIKVpro and ZIKVRdRp for further experimental assessment.

Recent outbreak of COVID-19 pandemic caused by severe acute respiratory syndrome-Coronavirus-2 (SARS-CoV-2) has raised serious global concern for public health. The viral main 3-chymotrypsin-like cysteine protease (Mpro), known to control coronavirus replication and essential for viral life cycle, has been established as an essential drug discovery target for SARS-CoV-2. Herein, we employed computationally screening of Druglib database containing FDA approved drugs against active pocket of SARS-CoV-2 Mpro using MTiopen screen web server, yields a total of 1051 FDA approved drugs with docking energy >−7 kcal/mol. The top 10 screened potential compounds against SARS-CoV-2 Mpro were then studied by re-docking, binding affinity, intermolecular interaction, and complex stability via 100 ns all atoms molecular dynamics (MD) simulation followed by post-simulation analysis, including end point binding free energy, essential dynamics, and residual correlation analysis against native crystal structure ligand N3 inhibitor. Based on comparative molecular simulation and interaction profiling of the screened drugs with SARS-CoV-2 Mpro revealed R428 (−10.5 kcal/mol), Teniposide (−9.8 kcal/mol), VS-5584 (−9.4 kcal/mol), and Setileuton (−8.5 kcal/mol) with stronger stability and affinity than other drugs and N3 inhibitor; and hence, these drugs are advocated for further validation using in vitro enzyme inhibition and in vivo studies against SARS-CoV-2 infection. Communicated by Ramaswamy H. Sarma

Several new viral infections have emerged in the human population and establishing as global pandemics. With advancements in translation research, the scientific community has developed potential therapeutics to eradicate or control certain viral infections, such as smallpox and polio, responsible for billions of disabilities and deaths in the past. Unfortunately, some viral infections, such as dengue virus (DENV) and human immunodeficiency virus-1 (HIV-1), are still prevailing due to a lack of specific therapeutics, while new pathogenic viral strains or variants are emerging because of high genetic recombination or cross-species transmission. Consequently, to combat the emerging viral infections, bioinformatics-based potential strategies have been developed for viral characterization and developing new effective therapeutics for their eradication or management. This review attempts to provide a single platform for the available wide range of bioinformatics-based approaches, including bioinformatics methods for the identification and management of emerging or evolved viral strains, genome analysis concerning the pathogenicity and epidemiological analysis, computational methods for designing the viral therapeutics, and consolidated information in the form of databases against the known pathogenic viruses. This enriched review of the generally applicable viral informatics approaches aims to provide an overview of available resources capable of carrying out the desired task and may be utilized to expand additional strategies to improve the quality of translation viral informatics research.

Dengue virus (DENV) infection causes serious health problems in humans for which no drug is currently available. Recently, DENV NS2B-NS3 protease has been proposed as a primary target for anti-dengue drug discovery due to its important role in new virus particle formation by conducting DENV polyprotein cleavage. Triterpenoids from the medicinal fungus Ganoderma lucidum have been suggested as pharmacologically bioactive compounds and tested as anti-viral agents against various viral pathogens including human immunodeficiency virus. However, no reports are available concerning the anti-viral activity of triterpenoids from Ganoderma lucidum against DENV. Therefore, we employed a virtual screening approach to predict the functional triterpenoids from Ganoderma lucidum as potential inhibitors of DENV NS2B-NS3 protease, followed by an in vitro assay. From in silico analysis of twenty-two triterpenoids of Ganoderma lucidum, four triterpenoids, viz. Ganodermanontriol (−6.291 kcal/mol), Lucidumol A (−5.993 kcal/mol), Ganoderic acid C2 (−5.948 kcal/mol) and Ganosporeric acid A (−5.983 kcal/mol) were predicted to be viral protease inhibitors by comparison to reference inhibitor 1,8-Dihydroxy-4,5-dinitroanthraquinone (−5.377 kcal/mol). These results were further studied for binding affinity and stability using the molecular mechanics/generalized Born surface area method and Molecular Dynamics simulations, respectively. Also, in vitro viral infection inhibition suggested that Ganodermanontriol is a potent bioactive triterpenoid.

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), accountable for causing the coronavirus diseases 2019 (COVID-19), is already declared as a pandemic disease globally. Like previously reported SARS-CoV strain, the novel SARS-CoV-2 also initiates the viral pathogenesis via docking viral spike-protein with the membranal angiotensin-converting enzyme 2 (ACE2) - a receptor on variety of cells in the human body. Therefore, COVID-19 is broadly characterized as a disease that targets multiple organs, particularly causing acute complications via organ-specific pathogenesis accompanied by destruction of ACE2

Co-chaperon p23 has been well established as molecular chaperon for the heat shock protein 90 (Hsp90) that further leads to immorality in cancer cells by providing defense against Hsp90 inhibitors, and as stimulating agent for generating overexpressed antiapoptotic proteins, that is, Hsp70 and Hsp27. The natural compounds such as catechins from Camellia sinensis (green tea) are also well known for inhibition activity against various cancer. However, molecular interaction profile and potential lead bioactive compounds against co-chaperon p23 from green tea are not yet reported. To this context, we study the various secondary metabolites of green tea against co-chaperon p23 using structure-based virtual screening from Traditional Chinese Medicine (TCM) database. Following 26 compounds were obtained from TCM database and further studied for extra precision molecular docking that showed binding score between -10.221 and -2.276 kcal/mol with co-chaperon p23. However, relative docking score to known inhibitors, that is, ailanthone (-4.54 kcal/mol) and gedunin ( 3.60 kcal/mol) along with ADME profile analysis concluded epicatechin (-7.013 kcal/mol) and cis-theaspirone (-4.495 kcal/mol) as potential lead inhibitors from green tea against co-chaperone p23. Furthermore, molecular dynamics simulation and molecular mechanics generalized born surface area calculations validated that epicatechin and cis-theaspirone have significantly occupied the active region of co-chaperone p23 by hydrogen and hydrophobic interactions with various residues including most substantial amino acids, that is, Thr90, Ala94, and Lys95. Hence, these results supported the fact that green tea contained potential compounds with an ability to inhibit the cancer by disrupting the co-chaperon p23 activity.

Numerous studies have reported that amyloid-beta 42 (Aβ-42) protein is a high-profile risk factor associated with the onset and progression of Alzheimer’s disease (AD). Accumulation of extracellular senile plaques, synaptic degeneration, and intracellular neurofibrillary tangles were recorded as essential features that facilitate the onset of Aβ-42, resulting in AD. Hence, we attempted a new screening technique to discover potential inhibitors against Aβ-42 using an in silico deep neural network approach. We screened PubChem compounds library and found wgx-50 as a potential inhibitor of Aβ-42. Also, synergistic effects of wgx-50–gold nanoparticles (AuNPs) complex induced significant inhibition of Aβ-42, compared with those of wgx-50 alone. Further, molecular docking analysis, systems biology approach, and time course simulation confirmed that synergistic effects of wgx-50–AuNPs complex have potential application in the treatment for AD. Additionally, we proposed the biological circuit for AD induced by Aβ-42 that can be used to monitor the effect of drugs on AD.

Type 2 diabetes (T2D) has been established as a serious and chronic medical condition with clinical feature of insulin deficiency and the resultant pathologically high glucose level in blood. Among...

Background Cyclooxygenase-2 (COX-2) is an important enzyme with numerous biological functions. Overexpression of COX-2 has been associated with various inflammatory-related diseases and therefore, projected as an important pharmacological target. Purpose We aimed to investigate the inhibitory potential of isolated bioactive compounds, 3-caffeoyl-4-dihydrocaffeoyl quinic acid (CDQ) and isorhamnetin 3-O-β- d -glucopyranoside (IDG), from Salicornia herbacea against COX-2 using both computational and in vitro approaches. Methods Computational analysis, including molecular docking, molecular dynamics (MD) simulations, and post-simulations analysis, were employed to estimate the binding affinity and stability of CDQ and IDG in the catalytic pocket of COX-2 against Celecoxib as positive control. These predictions were further evaluated using in vitro enzyme inhibition as well as gene expression mediation in macrophages cells. Results Molecular docking analysis revealed substantial binding energy of CDQ (-6.1 kcal/mol) and IDG (-5.9 kcal/mol) with COX-2, which are lower than Celecoxib (-8.1 kcal/mol). MD simulations (100 ns) and post simulation analysis exhibited the substantial stability and binding affinity of docked CDQ and IDG compounds with COX-2. In vitro assays indicated significant COX-2 inhibition by CDQ (IC50 = 76.91 ± 2.33 μM) and IDG (IC50 = 126.06 ± 9.44 μM). This result supported the inhibitory potential of isolated bioactive compounds against COX-2. Also, a cellular level study revealed a downregulation of COX-2 expression in tumor necrosis factor-alpha stimulated RAW 264.7 macrophages treated with CDQ and IDG. Conclusion Computational and experimental analysis of CDQ and IDG from S. herbacea established their potential in the inhibition and mediation of COX-2. Hence, CDQ and IDG can be considered for therapeutic development against COX-2 linked disorders, such as inflammation and cancer. Furthermore, CDQ and IDG structures can be served as a lead compound for the development of advanced novel anti-inflammatory drugs.

Recent outbreak of COVID-19 pandemic caused by severe acute respiratory syndrome-Coronavirus-2 (SARS-CoV-2) has raised serious global concern for public health. The viral main 3-chymotrypsin-like cysteine protease (Mpro), known to control coronavirus replication and essential for viral life cycle, has been established as an essential drug discovery target for SARS-CoV-2. Herein, we employed computationally screening of Druglib database containing FDA approved drugs against active pocket of SARS-CoV-2 Mpro using MTiopen screen web server, yields a total of 1051 FDA approved drugs with docking energy >−7 kcal/mol. The top 10 screened potential compounds against SARS-CoV-2 Mpro were then studied by re-docking, binding affinity, intermolecular interaction, and complex stability via 100 ns all atoms molecular dynamics (MD) simulation followed by post-simulation analysis, including end point binding free energy, essential dynamics, and residual correlation analysis against native crystal structure ligand N3 inhibitor. Based on comparative molecular simulation and interaction profiling of the screened drugs with SARS-CoV-2 Mpro revealed R428 (−10.5 kcal/mol), Teniposide (−9.8 kcal/mol), VS-5584 (−9.4 kcal/mol), and Setileuton (−8.5 kcal/mol) with stronger stability and affinity than other drugs and N3 inhibitor; and hence, these drugs are advocated for further validation using in vitro enzyme inhibition and in vivo studies against SARS-CoV-2 infection. Communicated by Ramaswamy H. Sarma

The eye is the specialized part of the body and is comprised of numerous physiological ocular barriers that limit the drug absorption at the action site. Regardless of various efforts, efficient topical ophthalmic drug delivery remains unsolved, and thus, it is extremely necessary to advance the contemporary treatments of ocular disorders affecting the anterior and posterior cavities. Nowadays, the advent of nanotechnology-based multicomponent nanoemulsions for ophthalmic drug delivery has gained popularity due to the enhancement of ocular penetrability, improve bioavailability, increase solubility, and stability of lipophilic drugs. Nanoemulsions offer the sustained/controlled drug release and increase residence time which depend on viscosity, compositions, and stabilization process, etc.; hence, decrease the instillation frequency and improve patient compliance. Further, due to the nanosized of nanoemulsions, the sterilization process is easy as conventional solutions and cause no blur vision. The review aims to summarizes the various ocular barriers, manufacturing techniques, possible mechanisms to the retention and deep penetration into the eye, and appropriate excipients with their under-lying selection principles to prevent destabilization of nanoemulsions. This review also discusses the characterization parameters of ocular drug delivery to spike the interest of those contemplating a foray in this field. Here, in short, nanoemulsions are abridged with concepts to design clinically advantageous ocular drug delivery.

Cytokines, small proteins (∼5-20 kDa) required in cell signaling and as immunomodulating agents in human body. Now, these cell signals are known to mediate many inflammatory processes in the lungs ...

Dengue virus (DENV) serine protease enzyme, i.e. NS2B-NS3pro (non-structural protein 2B-non-structural protein 3) has been approved as prime drug target for the drug discovery against dengue infection, because of its essential role in viral replication. This study demonstrates the potential of bioflavonoids from

Dengue virus (DENV) serine protease enzyme, i.e. NS2B-NS3pro (non-structural protein 2B-non-structural protein 3) has been approved as prime drug target for the drug discovery against dengue infection, because of its essential role in viral replication. This study demonstrates the potential of bioflavonoids from Azadirachta indica against dengue infection using computational and experimental approach. Initially, 49 bioflavonoids reported in Azadirachta indica were collected and virtually screened on the catalytic triad of DENV protease, results in the identification of kaempferol-3-O-rutinoside (−9.555 kcal/mol), rutin (−9.324 kcal/mol), hyperoside (−7.879 kcal/mol), and epicatechin (−7.622 kcal/mol) as potent viral protease inhibitors against reference compound quercetin (−6.94 kcal/mol). Subsequently, these docked complexes were analyzed for the stability via molecular dynamics simulations and free binding energy calculations, suggested the considerable stability of selected bioflavonoids with viral protease. Additionally, density functional theory and ADMET (Absorption, Distribution, Metabolism, Excretion and Toxicity) analysis indicated the least chemical reactivity and considerable medicinal properties, respectively for the screened bioflavonoids by comparison to quercetin. Accordingly, kaempferol 3-O-β-rutinoside and epicatechin were evaluated at various concentrations for cell viability (3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide assay) and in vitro antiviral activity (focus forming unit assay) against DENV-2 strain. The antiviral assay showed dose dependent inhibition of DENV-2 infectivity by the selected compounds while maximum 77.7% and 66.2% viral inhibition were recorded for 100 µM kaempferol 3-O-β-rutinoside and 1000 µM epicatechin, respectively without significant cell toxicity. These results suggested the potential of bioflavonoids from Azadirachta indica in the development of effective drug against dengue infection. Communicated by Ramaswamy H. Sarma

Recent Zika virus (ZIKV) outbreak and association with human diseases such as neurological disorders have raised global health concerns. However, in the absence of an approved anti-ZIKV drug has generated urgency for the drug development against ZIKV infection. Here, structure-based virtual screening of 8589 bioactive compounds, screened at the substrate-binding site of ZIKV nonstructural 5 (NS5)-based structure N-terminal methyltransferase (MTase) domain followed by ADMET (absorption, distribution, metabolism, excretion and toxicity) profiling concluded the four potential lead inhibitors, i.e. (4-acetylamino-benzenesulfonylamino)-acetic acid (F3342-0450), 3-(5-methylfuran-2-yl)-N-(4-sulfamoylphenyl)propanamide (F1736-0142), 8-(2-hydroxy-ethylamino)-1,3-dimethyl-7-(3-methyl-benzyl)-3,7-dihydro-purine-2,6-dione (F0886-0080) and N-[4-(aminosulfonyl)phenyl]-2,3-dihydro-1,4-benzodioxine-2-carboxamide (F0451-2187). Collectively, extra precision docking and Density Functional Theory(DFT) calculations studies identified the F3342-0450 molecule, having strong interactions on the active site of MTase, further supported by molecular dynamics simulation, binding affinity and hybrid QM/MM calculations, suggest a new drug molecule for the antiviral drug development against ZIKV infection. Communicated by Ramaswamy H. Sarma.

Parkinson’s disease (PD) arises as neurodegenerative disorder and characterized by progressive deterioration of motor functions due to forfeiture of dopamine-releasing neurons. During PD, neurons at stake loss their functionality that results into cognition impairment and forgetfulness, commonly called as dementia. Recently, nanoparticles (NPs) have been reported for easy drug delivery through blood-brain barrier (BBB) into the central nervous system (CNS) against the conventional drug delivery systems. However, present study attempted to elucidate the α-synuclein activity, a major factor casing PD, in presence of its inhibitor cerium oxide (CeO2) nanoparticle via computational biology approach. A computational analysis was also conducted for the α-synuclein activity with biocompatible metal NPs such as GOLD NPs and SPIONs to scrutinize the efficacy and degree of inhibition induced by the CeO2 NP. The obtained results concluded that CeO2 NP fit best in the active site of α-synuclein with good contacts and interaction, and potentially inhibited the PD against L-DOPA drug selected as positive control in the designed PD biochemical pathway. Hence, CeO2 NP has been purposed as potential inhibitor of α-synuclein and can be employed as nano-drug against the PD.

Rationally designed self-assemble, functional 3D architecture of graphene nano-meshes with unique plasmonic resonance metal nanoparticles can be excellent nanohybrid Raman scattering (SERS) substrate in spotting the low levels of environmental organic pollutants. In this study, graphene nano-mesh-Ag-ZnO metal (GNMM) nanohybrid was prepared by self-assembled hydrothermal reduction of graphene oxide (GO) followed by thermal annealing of site-localized metal-salts as a highly sensitive surface-enhanced Raman scattering (SERS) substrate. The crumpled graphene nano-meshes decorated with Ag-ZnO nanoparticles created SERS hot spots (holes) that manifested high SERS sensitivity to model organic pollutants such as methyl orange (MO), rhodamine 6G (Rh-6G) and paraquat (PQ) with detection limit as low as 10−11, 10−13 and 10−14 M, respectively. A maximum enhancement factor (EF) of 1.97 × 1011 was obtained with PQ molecules on synthesized GNMM substrate. The enhancement in signal can be supported through charge transfer mechanism that induced strong enhancement of the local electric field on free available graphene nano-mesh edges abundant with hotspots. This novel nanohybrid SERS substrate realized self-cleaning by photocatalytic degradation of model organic Rh-6G molecules adsorbed on the nanohybrid paper and shows reusability during the detection process. Meanwhile, GNMM nanohybrid also possesses highly effective antimicrobial activities for Escherichia coli. The detection of organic pollutants by GNMM nanohybrid SERS substrate has several advantages such as low cost, easy and simple preparation method, sensitive detection and reusability that can be potentially applied for detection of variety of environmental pollutants and antimicrobial agent applications.

Genome sequence analysis of infectious agents (IAs) reveals many secrets about their life processes and evolutionary history. Increasing the huge amount of genomic sequence data of various IAs in different biological sequence databases, which are being produced through different sequencing projects, is continuously motivating the genome researchers to unlock the mysteries related to the life of IAs. Furthermore, that information may be helpful for treating the serious illness problem caused by IAs. However, all the genome analysis work requires a good knowledge of bioinformatics tools that may be useful for genome researchers to extract the meaningful and accurate information from the genome sequence data of IAs. In this article, the most recent bioinformatics tools for the genomic and evolutionary analysis of infectious agents have been discussed and compared in detail which will help the genome researchers to select the most appropriate tool for genomic and evolutionary analysis of IAs.

Alzheimer’s disease (AD) pathogenesis leads to the appearance of senile plaques due to the production and deposition of the β-amyloid peptide (Aβ). Superparamagnetic iron oxide nanoparticles (SPIONs) have potential role in the detection and imaging of Aβ plaques in AD. SPIONs have shown appropriate potential in the diagnosis and treatment of AD. In the present study, the pharmacokinetics of SPIONs and its effect in the biochemical pathway of AD were analyzed using collected information. During analysis, the interaction of SPIONs with amyloid beta-42 (Aβ42), a biomarker for AD progression, has been shown. Nodes represent the entities and edges represent the relation (interactions) of one node to another node. Aβ42 and their interaction with other entities making up biochemical network are involved in AD mechanism in presence of SPION. The kinetic simulation was done to investigate pharmacokinetics of SPIONs for AD, where concentration was assigned of nanoparticles and other entities were applied as a kinetic irreversible simple Michaelis–Menten or mass action kinetics. Simulation was done in presence and absence of SPIONs to investigate pharmacokinetic effect in AD and explore the mechanism of Aβ42 in presence of SPIONs. This study may lead to better understanding, which is required to target the metabolism of Aß42 peptide, a pivotal player in this pathology.

The respiratory diseases in humans, such as aspergilloma, allergic bronchopulmonary aspergillosis and invasive aspergillosis are caused by the fungal pathogen Aspergillus Fumigatus (A. fumigatus)

Exploration of mysterious facts from the sequences and structures of biomolecules of an organism is the essential requirement for understanding their molecular and evolutionary processes. Sequence analysis approach is an exciting choice for exploring those mysterious facts from biological data at genomic, transcriptomic and proteomic level. Development of bioinformatics tools is the most challenging task for analyzing these biological data at above three levels. In this communication, an attempt has been made to develop a bioinformatics program “Biological Data Analysis Program (BDAP)” having the ability to analyze the DNA/RNA/protein sequence data at molecular level. It also includes the links of various online databases, tools, search engines and many of the prestigious journals. The coding of the program has been done in Perl language. BDAP is freely available at https://sites.google.com/site/dwivediplanet/bdap under the terms and conditions of GNU General Public License.

Food quality and safety along with their associated hazards risks present a major concern worldwide associated with relative economical losses as well as potential danger to consumer’s health. In this context, antimicrobial resistance (AMR) surveillance is a critical step within risk assessment schemes, as it is the basis for informing global strategies, monitoring the effectiveness of public health interventions, and detecting new trends and emerging threats linked to food. A lack of measures and reliable assays to evaluate and maintain a good control of antimicrobial resistance foodborne pathogens may affect the food industry economy and shatter consumer confidence. Hence, surveillance of AMR is currently based on the isolation of indicator microorganisms and the phenotypic characterization of clinical, environmental, and food borne strains. However, this approach provides very limited information on the mechanisms driving AMR or on the presence or spread of AMR genes throughout the food chain. It is imperative to establish fast and reliable analytical methods that allow a good and rapid analysis of food products during the whole food chain. This chapter summarizes the information on the method developed and application of the whole-genome sequencing (WGS) in the past few years focusing on surveillance of AMR in foodborne pathogenic bacteria. Emphasis is also posed with respect to the routine implementation of these next-generation sequencing methodologies on characterization of well-known food pathogens. Besides, potential advantages and disadvantages of the WGS have been discussed on the surveillance of AMR in foodborne pathogens.

Matrix metalloproteinases 1 (MMP-1) energetically triggers the enzymatic proteolysis of extracellular matrix collagenase (ECM), resulting in progressive skin aging. Natural flavonoids are well known for their antioxidant properties and have been evaluated for inhibition of matrix metalloproteins in human. Recently, (-)-epicatechin and proanthocyanidin B2 were reported as essential flavanols from various natural reservoirs as potential anti-inflammatory and free radical scavengers. However, their molecular interactions and inhibitory potential against MMP-1 are not yet well studied. In this study, sequential absorption, distribution, metabolism, and excretion (ADME) profiling, quantum mechanics calculations, and molecular docking simulations by extra precision Glide protocol predicted the drug-likeness of (-)-epicatechin (&minus, 7.862 kcal/mol) and proanthocyanidin B2 (&minus, 8.145 kcal/mol) with the least reactivity and substantial binding affinity in the catalytic pocket of human MMP-1 by comparison to reference bioactive compound epigallocatechin gallate (&minus, 6.488 kcal/mol). These flavanols in docked complexes with MMP-1 were further studied by 500 ns molecular dynamics simulations that revealed substantial stability and intermolecular interactions, viz. hydrogen and ionic interactions, with essential residues, i.e., His218, Glu219, His222, and His228, in the active pocket of MMP-1. In addition, binding free energy calculations using the Molecular Mechanics Generalized Born Surface Area (MM/GBSA) method suggested the significant role of Coulomb interactions and van der Waals forces in the stability of respective docked MMP-1-flavonol complexes by comparison to MMP-1-epigallocatechin gallate, these observations were further supported by MMP-1 inhibition assay using zymography. Altogether with computational and MMP-1&ndash, zymography results, our findings support (-)-epicatechin as a comparatively strong inhibitor of human MMP-1 with considerable drug-likeness against proanthocyanidin B2 in reference to epigallocatechin gallate.