Comparative metagenomic analysis from Sundarbans ecosystems advances our understanding of microbial communities and their functional roles.

The Sundarbans mangrove, located at the mouth of the Ganges and Brahmaputra Rivers, is the world's largest tidal mangrove forest. These mangroves are also one of the most striking sources of microbial diversity, essential in productivity, conservation, nutrient cycling, and rehabilitation. Hence, the main objective of this study was to use metagenome analysis and provide detailed insight into microbial communities and their functional roles in the Sundarbans mangrove ecosystem. A comparative analysis was also done with a non-mangrove region of the Sundarbans ecosystem to assess the capability of the environmental parameters to explain the variation in microbial community composition. The study found several dominant bacteria, viz., Alphaproteobacteria, Actinomycetota, Bacilli, Clostridia, Desulfobacterota, Gammaproteobacteria, and Nitrospira, from the mangrove region. The mangrove sampling site reports several salt-tolerant bacteria like Alkalibacillus haloalkaliphilus, Halomonas anticariensis, and Salinivibrio socompensis. We found some probiotic species, viz., Bacillus clausii, Lactobacillus curvatus, Vibrio mediterranei and Vibrio fluvialis, from the Sundarbans mangrove. Nitrifying bacteria in Sundarbans soils were Nitrococcus mobilis, Nitrosococcus oceani, Nitrosomonas halophila, Nitrospirade fluvii, and others. Methanogenic archaea, viz., Methanoculleus marisnigri, Methanobrevibacter gottschalkii, and Methanolacinia petrolearia, were highly abundant in the mangroves as compared to the non-mangrove soils. The identified methanotrophic bacterial species, viz., Methylobacter tundripaludum, Methylococcus capsulatus, Methylophaga thiooxydans, and Methylosarcina lacus are expected to play a significant role in the degradation of methane in mangrove soil. Among the bioremediation bacterial species identified, Pseudomonas alcaligenes, Pseudomonas mendocina, Paracoccus denitrificans, and Shewanella putrefaciens play a significant role in the remediation of environmental pollution. Overall, our study shows for the first time that the Sundarbans, the largest mangrove ecosystem in the world, has a wide range of methanogenic archaea, methanotrophs, pathogenic, salt-tolerant, probiotic, nitrifying, and bioremediation bacteria.

Identification of virulence-associated factors in Vibrio parahaemolyticus with special reference to moonlighting protein: a secretomics study.

Vibrio parahaemolyticus causes seafood-borne gastroenteritis infection in human which can even lead to death. The pathogenic strain of V. parahaemolyticus secretes different types of virulence factors that are directly injected into the host cell by a different type of secretion system which helps bacteria to establish its own ecological niche within the organism. Therefore, the aim of this study was to isolate the extracellular secreted proteins from the trh positive strain of V. parahaemolyticus and identify them using two-dimensional gel electrophoresis and MALDI-TOFMS/MS. Seventeen different cellular proteins viz, Carbamoyl-phosphate synthase, 5-methyltetrahydropteroyltriglutamate, tRNA-dihydrouridine synthase, Glycerol-3-phosphate dehydrogenase, Orotidine 5'-phosphate decarboxylase, Molybdenum import ATP-binding protein, DnaJ, DNA polymerase IV, Ribosomal RNA small subunit methyltransferase G, ATP synthase subunit delta and gamma, Ribosome-recycling factor, 4-hydroxy-3-methylbut-2-en-1-yl diphosphate synthase, tRNA pseudouridine synthase B, Ditrans, polycis-undecaprenyl-diphosphate synthase, Oxygen-dependent coproporphyrinogen-III oxidase, and Peptide deformylase 2 were identified which are mainly involved in different metabolic and biosynthetic pathways. Furthermore, the molecular function of the identified proteins were associated with catalytic activity, ligase activity, transporter, metal binding, and ATP synthase when they are intercellular. However, to understand the importance of these secreted proteins in the infection and survival of bacteria inside the host cell, pathogen-host protein-protein interactions (PPIs) were carried out which identified the association of eight secreted proteins with 41 human proteins involved in different cellular pathways, including ubiquitination degradation, adhesion, inflammation, immunity, and programmed cell death. The present study provides unreported strategies on host-cell environment's survival and adaptation mechanisms for the successful establishment of infections and intracellular propagation.

Microbiome analysis reveals potential for modulation of gut microbiota through polysaccharide-based prebiotic feeding in Oreochromis niloticus (Linnaeus, 1758).

Characterization and functional profiling of the gut microbiota are essential for guiding nutritional interventions in fish and achieving favorable host-microbe interactions. Thus, we conducted a 30 days study to explore and document the gut microbial community of O. niloticus, as well as to evaluate the effects of a polysaccharide-based prebiotics with 0.5% and 0.75% Aloe vera extract on the gut microbiome through genomic analysis. The V3-V4 region of 16S rRNA was amplified and sequenced using Illumina HiSeq 2500, resulting in 1,000,199 reads for operational taxonomic unit (OTU) identification. Out of 8,894 OTUs, 1,181 were selected for further analysis. Our results revealed that Planctomycetes, Firmicutes, Proteobacteria, Verrucomicrobia, Actinobacteria, and Fusobacteria were the dominant phyla in both control and treatment samples. Higher doses of prebiotics were found to improve Planctomycetes and Firmicutes while decreasing Proteobacteria and Verrucomicrobia. We observed increasing trends in the abundance of Bacilli, Bacillaceae, and Bacillus bacteria at the class, family, and genus levels, respectively, in a dose-dependent manner. These findings were consistent with the conventional colony count data, which showed a higher prevalence of Bacillus in prebiotic-supplemented groups. Moreover, predicted functional analysis using PICRUSt indicated a dose-dependent upregulation in glycolysis V, superpathway of glycol metabolism and degradation, glucose and xylose degradation, glycolysis II, and sulfoglycolysis pathways. Most of the energy, protein, and amino acid synthesis pathways were upregulated only at lower doses of prebiotic treatment. Our findings suggest that the gut microbiome of O. niloticus can be optimized through nutritional interventions with plant-based polysaccharides for improved growth performance in commercial fish.

Bacteriophages diversity in India's major river Ganga: a repository to regulate pathogenic bacteria in the aquatic environment.

Bacteriophages are key viruses that can kill thousands of harmful microbes generally present at polluted sites. Such bacteriophages are abundantly present in the river Ganga, where millions of people in India and abroad drink its water and take baths every day for spiritual reasons. Besides bacteriophages, several pathogenic and zoonotic microbes are present in the river Ganga. It is interesting to study the diversity and abundance of bacteria and their respective phages present in polluted or non-polluted sites. Thus, the metagenomics study was carried out at the most polluted sites of river Ganga near Kanpur and non-polluted sites at Farakka, which harbors several harmful bacteria and their phages. The results revealed a significantly higher percentage of Microviridae phage family, ssDNA viruses, and Mimiviridae virus family near Kanpur than Farakka. In addition, compared to Kanpur, Farakka has a more significant percentage of Myoviridae, an unidentified phage family, and Retroviridae viral families. Despite heavy drainage of untreated and contaminated effluents from the leather industry, pesticide industry, paper mills, metropolitan cities, and other sources, the vast number of said phages kills several harmful pathogenic microbes in polluted sites to maintain the Ganga water's healing power or natural sterility. In a polluted aquatic environment, the varieties of bacteriophages were identified in the Ganga and their interaction with the microbial host. The taxonomic diversity of several bacteriophages found in pathogenic host systems was investigated to get exceptional knowledge of these small viruses in the aquatic environment.

Identification of novel salt tolerance-associated proteins from the secretome of Enterococcus faecalis.

The ability of bacteria to adapt to the external environment is fundamental for their survival. A halotolerant microorganism Enterococcus faecalis able to grow under high salt stress conditions was isolated in the present study. The SDS-PAGE analysis of the secretome showed a protein band with a molecular weight of 28 kDa, gradually increased with an increase in salt concentration, and the highest intensity was observed at 15% salt stress condition. LC-MS/MS analysis of this particular band identified fourteen different proteins, out of which nine proteins were uncharacterized. Further, the function of uncharacterized proteins was predicted based on structure-function relationship using a reverse template search approach deciphering uncharacterized protein into type III polyketide synthases, stress-induced protein-1, Eed-h3k79me3, ba42 protein, 3-methyladenine DNA glycosylase, Atxa protein, membrane-bound respiratory hydrogenase, type-i restriction-modification system methylation subunit and ManxA. STRING network analysis further a showed strong association among the proteins. The processes predicted involvement of these proteins in signal transduction, ions transport, synthesis of the protective layer, cellular homeostasis and regulation of gene expression and different metabolic pathways. Thus, the fourteen proteins identified in the secretome play an essential role in maintaining cellular homeostasis in E. faecalis under high-salinity stress. This may represent a novel and previously unreported strategy by E. faecalis to maintain their normal growth and physiology under high salinity conditions.

Trh positive strain of Vibrio parahaemolyticus induce immunity by modulating MAPK pathway: A molecular pathogenic insight in immune-related gene regulation.

Vibrio parahaemolyticus is a zoonotic bacterium that causes infections in shellfish, fish and higher vertebrates as well as in humans. The Tdh and Trh positive strains of V. parahaemolyticus are generally considered as major virulent strains. The pathogenic mechanisms of Trh positive strain of V. parahaemolyticus are poorly understood. Therefore, in the present study Indian Major Carp, Labeo rohita was intraperitoneally challenged with a Trh positive strain of V. parahaemolyticus below lethal dose 50 (LD50) to understand the innate immune response. A significant upregulation in the respiratory burst activity, myeloperoxidase activity and lysozyme activity of serum was observed in the challenged fishes. However, the serum alpha (α) 2-macro globulin activity and antiprotease activity remained unaltered in the infected fish. The relative expression study of some immune-related genes showed that after the experimental challenge the expression of immune-related genes viz., Toll-like receptor (TLR), Nucleotide-binding oligomerization domain (NOD), Interleukin-1ß (IL-ß), Interleukin-6 (IL-6), Tumor necrosis factor α (TNFα), Inducible nitric oxide synthase (iNOS), Complement factor 3a (C3a) and Heat shock proteins 70 (Hsp70) was upregulated during infection. Furthermore, overexpression of nuclear factor kappa light chain enhancer of activated B cells (NF-κß), Myeloid differentiation primary response 88 (MyD88), Mitogen-activated protein kinases (MAPK) and cysteine-aspartic proteases (Casp 1) was also observed after post-infection which clearly indicated that Trh positive V. parahaemolyticus activates MAPK pathway. The present study strengthens the understanding of molecular pathogenesis and provides insights on gene regulation during infection with Trh positive V. parahaemolyticus.

Metagenomic Analysis Reveals Bacterial and Fungal Diversity and Their Bioremediation Potential From Sediments of River Ganga and Yamuna in India.

In this study, we report the presence of a microbial community of bioremediation potential in terms of relative abundance and taxonomic biodiversity in sediment samples of river Ganga and Yamuna, India at nine different sites. Metagenomic libraries were constructed using TruSeq Nano DNA Library Prep Kit and sequenced on NextSeq 500 by Illumina Next Generation Sequencing (NGS) technology. Bioremediation bacteria belong to 45 genera with 92 species and fungi belong to 13 genera with 24 species have been classified using Kaiju taxonomical classification. The study revealed that Proteobacteria was the most dominant bacterial flora, followed by Actinobacteria, Firmicutes, and Deinococcus-Thermus. PCA analysis revealed that bioremediation bacteria viz. Streptomyces bikiniensis, Rhodococcus qingshengii, Bacillus aerophilus, Pseudomonas veronii, etc., were more dominant in highly polluted river stretch as compared to less polluted river stretch. Similarly, the relative abundance of bioremediation fungi viz. Phanerochaete chrysosporium and Rhizopus oryzae, etc., were significantly correlated with the polluted Kanpur stretch of river Ganga. Several protein domains, which play a pivotal role in bioremediation in the polluted environments, including urea ABC transporter, UrtA, UrtD, UrtE, zinc/cadmium/mercury/lead-transporting ATPase, etc., were identified using protein domain analysis. The protein domains involved in pesticide biodegradation viz. P450, short-chain dehydrogenases/reductases (SDR), etc., were also discovered in river sediment metagenomics data. This is the first report on the richness of bioremediation microbial communities in the Ganga and Yamuna riverine ecosystems, highlighting their importance in aquatic pollution management.

Metagenome analysis from the sediment of river Ganga and Yamuna: In search of beneficial microbiome.

Beneficial microbes are all around us and it remains to be seen, whether all diseases and disorders can be prevented or treated with beneficial microbes. In this study, the presence of various beneficial bacteria were identified from the sediments of Indian major Rivers Ganga and Yamuna from nine different sites using a metagenomic approach. The metagenome sequence analysis using the Kaiju Web server revealed the presence of 69 beneficial bacteria. Phylogenetic analysis among these bacterial species revealed that they were highly diverse. Relative abundance analysis of these bacterial species is highly correlated with different pollution levels among the sampling sites. The PCA analysis revealed that Lactobacillus spp. group of beneficial bacteria are more associated with sediment sampling sites, KAN-2 and ND-3; whereas Bacillus spp. are more associated with sites, FAR-2 and ND-2. This is the first report revealing the richness of beneficial bacteria in the Indian rivers, Ganga and Yamuna. The study might be useful in isolating different important beneficial microorganisms from these river sediments, for possible industrial applications.

Metagenomic study focusing on antibiotic resistance genes from the sediments of River Yamuna.

Antibiotic resistance is one of the major health concerns of the present century. The direct discharge of urban sewage, hospital effluents, and pharmaceutical wastes increases the concentration of antibiotics in riverine ecosystems. This provides selection pressure for the development of novel antibiotic-resistant strains. In this study, metagenomics approach was employed a for constructing a comprehensive profile of the Antibiotic Resistance Genes (ARGs) identified in the sediments of the Yamuna River. A total of 139 ARGs were identified from 39 microbial species. Abundance analysis revealed that, aminoglycoside, beta-lactam, macrolide, and tetracycline resistance genes were highly abundant in the sediment samples obtained from the Yamuna River. The evolutionary relationships among the ARGs were studied by phylogenetic analyses, which revealed that, the identified resistome comprised eight clusters. Network analysis was performed for investigating the broad-spectrum profiles of the ARGs and their enrichment in different biological functions and pathways. Protein-protein interaction (PPI) analyses revealed that, 76, 36, 18, and 5 Gene Ontology (GO)-terms were significantly enriched in Biological process, Molecular Function, Cellular Component, and KEGG Pathways analysis, respectively. The present study elucidates the ecology of microbial antibiotic resistance in the riverine ecosystem of the Yamuna River and provides novel insights into the environmental hotspots that are amenable to the emergence of ARGs in the contaminated riverine hydrosphere.

Structural Characterization of Open Reading Frame-Encoded Functional Genes from Tilapia Lake Virus (TiLV).

In recent years, large-scale mortalities are observed in tilapia due to infection with a novel orthomyxo-like virus named, tilapia lake virus (TiLV) which is marked to be a severe threat to universal tilapia industry. Currently, there are knowledge gaps relating to the antiviral peptide as well as there are no affordable vaccines or drugs available against TiLV yet. To understand the spreading of infection of TiLV in different organs of Oreochromis niloticus, RT-PCR analysis has been carried out. The gene segments of TiLV were retrieved from the NCBI database for computational biology analysis. The 14 functional genes were predicted from the 10 gene segments of TiLV. Phylogenetic analysis was employed to find out a better understanding for the evolution of tilapia lake virus genes. Out of 14 proteins, only six proteins show transmembrane helix region. Moreover, molecular modeling and molecular dynamics simulations of the predicted proteins revealed structural stability of the protein stabilized after 10-ns simulation. Overall, our study provided a basic bioinformatics on functional proteome of TiLV. Further, this study could be useful for development of novel peptide-based therapeutics to control TiLV infection.

Employing virtual screening and molecular dynamics simulations for identifying hits against the active cholera toxin.

Cholera is a major global threat, affecting millions each year. The ADP ribosyltransferase activity of the active cholera toxin catalyses the massive loss of water and electrolytes during cholera infections. The active toxin heterodimer comprises the A1 subunit from Vibrio cholerae and ARF (ADP Ribosylation Factor) from the human host. Although the active toxin is a potential target for drug discovery against cholera, it has been scarcely targeted to date. The A1-ARF interface contains a potential druggable site for small molecule inhibitors. By combining a sequential docking and scoring strategy with molecular dynamics (MD) simulations, this study identified hits against the protein-protein interface (PPI) of the active cholera toxin from an in-house library of 9,175 ADMET-screened alkaloids. The docking algorithms and scoring functions of Glide SP, Glide XP, and AutoDock were employed for initial library screening. Three alkaloids were initially selected by docking-based virtual screening. The stability of the hit-toxin complexes was validated by MD simulations. Two of the three hits, namely, A6225 (7-formyldehydrothalicsimidine) and A16503 (1,2,7,8-tetrahydroxy dibenz[cd,f]indol-4(5H)-one), formed stable complexes with the toxin. Analyses of the hydrogen bond occupancies revealed that the hits formed stable hydrogen bonds with the toxin PPI. The hits identified herein can serve as reference compounds for drug discovery against cholera in the future.

Prediction and characterisation of lantibiotic structures with molecular modelling and molecular dynamics simulations.

Lantibiotics are lanthionine-containing bactericidal peptides produced by gram-positive bacteria as a defence mechanism against other bacterial species. Lantipeptides disrupt the integrity of target cells by forming pores in their cell membranes, or by preventing cell wall biosynthesis, which subsequently results in cell death. Lantibiotics are of immense importance to the food preservation and pharmaceutical industries. The rise in multidrug resistance demands the discovery of novel antimicrobials, and several authors advocate that lantibiotics hold the future of antimicrobial drug discovery. Owing to their amenability to structural modifications, novel lantibiotics with higher efficacy and antimicrobial activity can be constructed by bioengineering and nanoengineering strategies, and is opined to have immense therapeutic success in combating the rise in multidrug resistance. Understanding the structure and dynamics of lantibiotics is therefore crucial for the development of novel lantipeptides, and this study aimed to study the structural properties and dynamics of 37 lantibiotics using computational strategies. The structures of these 37 lantibiotics were constructed from homology, and their structural stability and compactness were analysed by molecular dynamics simulations. The phylogenetic relationships, physicochemical properties, disordered regions, pockets, intramolecular bonds and interactions, and structural diversity of the 37 lantipeptides were studied. The structures of the 37 lantipeptides constructed herein remained stable throughout simulation. The study revealed that the structural diversity of lantibiotics is not significantly correlated to sequence diversity, and this property could be exploited for designing novel lantipeptides with higher efficacy.

De novo whole transcriptome profiling of Edwardsiella tarda isolated from infected fish (Labeo catla).

Edwardsiella tarda belongs to the genera of Gram negative bacterium mainly associated with edwardsiellosis, the most commonly found infectious fish disease throughout the globe. E. tarda is also a widespread pathogen which cause infections such as cellulitis or gas gangrene and generalized infections in humans. To control the escalating infection of E. trada on various species, it is essential to decoded the mysterious mechanism behind the bacterial infection at transcript level. In this present study, we carry out a de novo E. tarda Whole transcriptome sequencing, isolated from infected fish intestine using SOLiD sequencing platform. RNA-Seq data analysis was performed using various bioinformatics pipelines. Protein-protein interaction study for pathway enrichment and gene ontology study were executed for further investigation. Assembly statistics for E. tarda dataset showed that the number of transcript contigs was 9657 out of which 6749 were GO annotated whereas 1528 were not assigned any GO terms. GO analysis showed that the expressed genes were enhanced with molecular function, cellular component and biological process. A KEGG enrichment study showed that pathway's that are directly linked with immune diseases like Rheumatoid arthritis (0.2%), Tuberculosis (0.3%) Endocytosis (0.6%) was considerably enriched. Protein-protein interaction study showed that most of the expressed proteins were involved in metabolic pathways, flagellar assembly, Propanoate metabolism, Microbial metabolism in diverse environments, Butanoate metabolism and Carbon. The present study provides novel E. tarda transcriptome sequence data, allowing us to identify biologically significant genes and their functional relationship with fish diseases, and will be useful in recognize the reliable therapeutic targets in near feature.

Therapeutic value of steroidal alkaloids in cancer: Current trends and future perspectives.

Discovery and development of new potentially selective anticancer agents are necessary to prevent a global cancer health crisis. Currently, alternative medicinal agents derived from plants have been extensively investigated to develop anticancer drugs with fewer adverse effects. Among them, steroidal alkaloids are conventional secondary metabolites that comprise an important class of natural products found in plants, marine organisms and invertebrates, and constitute a judicious choice as potential anti-cancer leads. Traditional medicine and modern science have shown that representatives from this compound group possess potential antimicrobial, analgesic, anticancer and anti-inflammatory effects. Therefore, systematic and recapitulated information about the bioactivity of these compounds, with special emphasis on the molecular or cellular mechanisms, is of high interest. In this review, we methodically discuss the in vitro and in vivo potential of the anticancer activity of natural steroidal alkaloids and their synthetic and semi-synthetic derivatives. This review focuses on cumulative and comprehensive molecular mechanisms, which will help researchers understand the molecular pathways involving steroid alkaloids to generate a selective and safe new lead compound with improved therapeutic applications for cancer prevention and therapy. In vitro and in vivo studies provide evidence about the promising therapeutic potential of steroidal alkaloids in various cancer cell lines, but advanced pharmacokinetic and clinical experiments are required to develop more selective and safe drugs for cancer treatment.

Computational characterization and molecular dynamics simulation of the thermostable direct hemolysin-related hemolysin (TRH) amplified from Vibrio parahaemolyticus.

Vibrio parahaemolyticus is a major seafood-borne pathogen that causes life-threatening gastroenteric diseases in humans through the consumption of contaminated seafoods. V. parahaemolyticus produces different kinds of toxins, including thermostable direct hemolysin (TDH), TDH-related hemolysin (TRH), and some effector proteins belonging to the Type 3 Secretion System, out of which TDH and TRH are considered to be the major factors for virulence. Although TRH is one of the major virulent proteins, there is a dearth of understanding about the structural and functional properties of this protein. This study therefore aimed to amplify the full length trh gene from V. parahaemolyticus and perform sequence-based analyses, followed by structural and functional analyses of the TRH protein using different bioinformatics tools. The TRH protein shares significant conservedness with the TDH protein. A multiple sequence alignment of TRH proteins from Vibrio and non-Vibrio species revealed that the TRH protein is highly conserved throughout evolution. The three dimensional (3D) structure of the TRH protein was constructed by comparative modelling and the quality of the predicted model was verified. Molecular dynamics simulations were performed to understand the dynamics, residual fluctuations, and the compactness of the protein. The structure of TRH was found to contain 19 pockets, of which one (pocket ID: 2) was predicted to be important from the view of drug design. Eleven residues (E138, Y140, C151, F158, C161, K162, S163, and Q164), which are reported to actively participate in the formation of the tetrameric structure, were present in this pocket. This study extends our understanding of the structural and functional dynamics of the TRH protein and as well as provides new insights for the treatment and prevention of V. parahaemolyticus infections.

In Silico Structural Studies and Molecular Docking Analysis of Delta6-desaturase in HUFA Biosynthetic Pathway.

Fish are an important source of highly unsaturated fatty acids (HUFA) such as eicosapentaenoic acid EPA (20:5 n-3) and docosahexaenoic acid DHA (22:6 n-3) and play a significant role in human nutrition. The fatty acyl delta6-desaturase (Δ6 desaturase) is a rate-limiting enzyme in the biosynthetic pathway of highly unsaturated fatty acids (HUFA) that converts polyunsaturated fatty acids (PUFA) such as linoleic (18:2n-6) and α-linolenic (18:3n-3) acids into HUFA. In this study, fatty acyl Δ6 desaturase was identified from pangasius (Pangasianodon hypophthalmus) and further analyzed for sequenced-based characterization and 3D structural conformation. Sequenced-based analysis revealed some important secondary information such as physicochemical property. e.g., isoelectric point, extinction coefficient, aliphatic index, and grand average hydropathy, among others, and also post-translational modification sites were identified. An evolutionary-conserved stretch of amino acid residue and a functionally significant conserved structural ancestor, N-terminal cytochrome b5 and membrane FADS-like superfamily, were identified. Protein association analysis showed a high confidence score with acyl-CoA synthetase, elovl5, elovl2, and phospholipase A2. Herein, we report, for the first time, a 3D native structure of Δ6 desaturase protein by homology modeling approach; molecular docking analysis was performed with linoleic (18:2n-6) and α-linolenic (18:3n-3) acids, which are the two key substrates in the HUFA biosynthetic pathway. This work provides insight into the structural and functional characterization of Δ6 desaturase, which is involved in HUFA biosynthesis as a rate-limiting enzyme.

Targeting the dengue ß-OG with serotype-specific alkaloid virtual leads.

The dengue envelope ß-OG pocket is a crucial hinge for mediating virus-host fusion via conformational changes in the envelope to the fusion-competent form. The ß-OG pocket is a small molecule target site for inhibition of virus-host fusion. As of date, the only structure of the ß-OG pocket known is of serotype 2. Studies of ß-OG inhibition by small molecules primarily target viral serotype 2. Envelope and ß-OG sequence alignments, reveal dissimilarities across serotypes. In light of protein sequence-structure-function correlation, sequence variations suggest serotypic variations in ß-OG druggability. This, together with the fact that dengue viral proteins do have serotype-specific variations of structure and function, lead to the study of the serotype-specificity of the dengue ß-OG ligand binding behaviour. ß-OG druggability was compared using comparative models of envelope proteins containing the ß-OG pocket in four serotypes of the dengue virus. ß-OG ligand binding was found to vary with respect to hydrophobicity, hydrophilicity, hydrogen bonding, van der Waals interactions with ligands and tightness of the binding site. The study also reports serotype-specific virtual leads identified from a library of 9175 alkaloids, using a consensus docking and scoring approach. The docking algorithms of Glide SP and XP, together with the Lamarckian genetic algorithm were employed for consensus docking. For consensus scoring, the Glide empirical score was employed along with the scoring function of AutoDock. A multi-dimensional lead optimisation approach was performed for optimising affinity, ligand efficiency, lipophilic ligand efficiency, ADMET and molecular torsional strains. The study proposes the serotype-specific inhibition of the ß-OG for an effective inhibition of virus-host fusion, in contrast to a pan inhibitor.

Intelligent Access to Sequence and Structure Databases (IASSD) - an interface for accessing information from major web databases.

UNLABELLED: With the advent of age of big data and advances in high throughput technology accessing data has become one of the most important step in the entire knowledge discovery process. Most users are not able to decipher the query result that is obtained when non specific keywords or a combination of keywords are used. Intelligent access to sequence and structure databases (IASSD) is a desktop application for windows operating system. It is written in Java and utilizes the web service description language (wsdl) files and Jar files of E-utilities of various databases such as National Centre for Biotechnology Information (NCBI) and Protein Data Bank (PDB). Apart from that IASSD allows the user to view protein structure using a JMOL application which supports conditional editing. AVAILABILITY: The Jar file is freely available through e-mail from the corresponding author.