Rheology of crystallizing polymers: The role of spherulitic superstructures, gap height, and nucleation densities.

A longstanding goal in polymer rheology is to develop a physical picture that relates the growth of mechanical moduli during polymer crystallization to that of a structure. Here, we utilize simultaneous mechanical rheology and optical microscopy, with augmentation by deterministic reconstruction and stochastic simulations, to study isothermal crystallization in isotactic polypropylene. We observe the nucleation and growth of the surface and bulk spherulites, which are initially isolated and then impinge to form clusters and superstructures that eventually span the gap. We find that spherulitic superstructures play a critical role in the rheology, especially in the characteristic sharp upturn in moduli. Both the rheology and the spherulitic superstructures show pronounced gap dependencies, which we explain via finite-size effects in percolation phenomena and via surface-induced nucleation. The modulus-crystallinity relationship can be described through a general effective medium theory. It indicates that for thicker gaps, the viscoelastic liquid to solid transition can be described via percolation, whereas for our thinnest gap, it is best described by the linear mixing rule. We describe our results in terms of dimensionless nucleation rates and spherulite size, which enable the estimation of when gap-dependent superstructure effects can be anticipated.

Effect of cellulose nanocrystals on crystallization kinetics of polycaprolactone as probed by Rheo-Raman.

The development of biocompatible polymer nano-composites that enhance mechanical properties while maintaining thermoplastic processability is a longstanding goal in sustainable materials. When the matrix is semi-crystalline, the nanoparticles may induce significant changes to crystallization kinetics and morphology due to their ability to act as nucleating agents. To fully model this behavior in a process line, an understanding of the relationship between crystallinity and modulus is required. Here, we introduce a scalable model system consisting of surface-compatibilized cellulose nanocrystals (CNC) dispersed into poly(ε-caprolactone) (PCL) and study the effects of nanoparticle concentration on isothermal crystallization kinetics. The dispersion is accomplished by exchange of the Na+ of sulfated cellulose nanocrystals by tetra-butyl ammonium cations (Bu4N+) followed by melt mixing via twin-screw extrusion. Crystallization kinetics are measured through the recently developed rheo-Raman instrument which extracts the relationship between the growth of the transient mechanical modulus and that of crystallinity. With extrusion and increasing CNC content, we find the expected enhancement of crystallization rate, but we moreover find a significant change in the relative kinetics of increase in modulus versus crystallinity. We analyze this via generalized effective medium theory which allows computation of a critical percolation threshold ξ c and discuss the results in terms of a change in nucleation density and a change in the anisotropy of crystallization.

Biological networks in Parkinson's disease: an insight into the epigenetic mechanisms associated with this disease.

BACKGROUND: Parkinson's disease (PD) is the second most prevalent neurodegenerative disorders in the world. Studying PD from systems biology perspective involving genes and their regulators might provide deeper insights into the complex molecular interactions associated with this disease. RESULT: We have studied gene co-expression network obtained from a PD-specific microarray data. The co-expression network identified 11 hub genes, of which eight genes are not previously known to be associated with PD. Further study on the functionality of these eight novel hub genes revealed that these genes play important roles in several neurodegenerative diseases. Furthermore, we have studied the tissue-specific expression and histone modification patterns of the novel hub genes. Most of these genes possess several histone modification sites those are already known to be associated with neurodegenerative diseases. Regulatory network namely mTF-miRNA-gene-gTF involves microRNA Transcription Factor (mTF), microRNA (miRNA), gene and gene Transcription Factor (gTF). Whereas long noncoding RNA (lncRNA) mediated regulatory network involves miRNA, gene, mTF and lncRNA. mTF-miRNA-gene-gTF regulatory network identified a novel feed-forward loop. lncRNA-mediated regulatory network identified novel lncRNAs of PD and revealed the two-way regulatory pattern of PD-specific miRNAs where miRNAs can be regulated by both the TFs and lncRNAs. SNP analysis of the most significant genes of the co-expression network identified 20 SNPs. These SNPs are present in the 3' UTR of known PD genes and are controlled by those miRNAs which are also involved in PD. CONCLUSION: Our study identified eight novel hub genes which can be considered as possible candidates for future biomarker identification studies for PD. The two regulatory networks studied in our work provide a detailed overview of the cellular regulatory mechanisms where the non-coding RNAs namely miRNA and lncRNA, can act as epigenetic regulators of PD. SNPs identified in our study can be helpful for identifying PD at an earlier stage. Overall, this study may impart a better comprehension of the complex molecular interactions associated with PD from systems biology perspective.

Comparative analysis of RNA-Seq data from brain and blood samples of Parkinson's disease.

Parkinson's disease (PD) is the second most common neurodegenerative disorders throughout the world. In order to search for PD biomarkers, we performed a system-level study of RNA-Seq data from PD brain and blood samples. Differentially expressed miRs of RNA-Seq data were subjected to generate the Co-expression networks. Three highly co-expressed clusters were identified based on their correlation coefficient values and fold change ratio. SM2miR drugs of the miRs contained in the three highly co-expressed clusters were identified, and drugs common among these clusters were selected. Co-expressed miRs not previously known to be associated with PD were identified from both the samples. Functional enrichment analyses of these miR targets were done, and the pathways common and unique to both the samples were identified. Thus, our study presents a comparative analysis of miRs, their associated pathways, and drugs from brain and blood samples of PD that may help in system level understanding of this disease. miRs identified from our study may serve as biomarkers for PD.

A bidirectional drug repositioning approach for Parkinson's disease through network-based inference.

Parkinson's Disease (PD) is one of the most prevailing neurodegenerative disorders. Novel computational approaches are required to find new ways of using the existing drugs or drug repositioning, as currently there exists no cure for PD. We proposed a new bidirectional drug repositioning method that consists of Top-down and Bottom-up approaches and finally gives information about significant repositioning drug candidates. This method takes into account of the topological significance of drugs in the tripartite Indication-drug-target network (IDTN) as well the significance of their targets in the PD-specific protein-protein interaction network (PPIN). 9 non-Parkinsonian drugs have been proposed as the significant repositioning candidates for PD. In order to find out the efficiency of the repositioning candidates we introduced a parameter called the On-target ratio (OTR). The average OTR value of final repositioning candidates has been found to be higher than that of known PD specific drugs.

Modeling of a new tubercular maltosyl transferase, GlgE, study of its binding sites and virtual screening.

Recently maltosyl transferase of Mycobacterium tuberculosis (mtb GlgE) belonging to α-amylase family has been identified as a potential drug target. Despite its importance, its three dimensional (3D) structure is unavailable. In this study we have modeled its 3D homo-dimeric structure using its homologue in Streptomyces ceolicolor (stp GlgE) as the template. Its monomer consists of five domains and four inserts, out of which two inserts are unique to mtb GlgE. It also has three binding cavities. One primary (pbs) and two secondary (sbs1 and sbs2), with one unique insert appearing within sbs2. Investigation of its homo-dimeric model revealed the presence of a disulphide bridge between Cys-29 of both the chains which is absent in stp GlgE. Virtual screening with known substrates and substrate analogues of α-amylase family proteins indicated better binding of maltose to sbs1 than pbs. Among all computationally screened substrates 3-O-Alpha-D-Glucopyranosyl-D-Fructose (OTU) docked with best binding affinity to pbs. Interaction of known inhibitors of α-amylase family proteins from CHEMBL is also studied. This reveals for the first time the unique 3D structure of mtb GlgE and provides insights into its active sites and substrate binding affinities. This may help in developing new anti-tubercular drugs and its analogues.

Structural insights into the interactions of repositioning and known drugs for Alzheimer's disease with hen egg white lysozyme by MM-GBSA.

Six drugs (dapsone, diltiazem, timolol, rosiglitazone, mesalazine, and milnacipran) that were predicted by network-based polypharmacology approaches as potential anti-Alzheimer's drugs, have been subjected in this study for in silico and in vitro evaluation to check their potential against protein fibrillation, which is a causative factor for multiple diseases such as Alzheimer's disease, Parkinson's disease, Huntington disease, cardiac myopathy, type-II diabetes mellitus and many others. Molecular docking and thereafter molecular dynamics (MD) simulations revealed that diltiazem, rosiglitazone, and milnacipran interact with the binding residues such as Asp52, Glu35, Trp62, and Asp101, which lie within the fibrillating region of HEWL. The MM-GBSA analysis revealed -7.86, -5.05, and -10.29 kcal/mol as the binding energy of diltiazem, rosiglitazone, and milnacipran. The RMSD and RMSF calculations revealed significant stabilities of these ligands within the binding pocket of HEWL. While compared with two reported ligands inhibiting HEWL fibrillation, milnacipran depicted almost similar binding potential with one of the known ligands (Ligand binding affinity -10.66 kcal/mol) of HEWL. Furthermore, secondary structure analyses revealed notable inhibition of the secondary structural changes with our candidate ligand; especially regarding retention of the 3/10 α-helix both by DSSP simulation, Circular dichroism, and FESEM-based microscopic image analyses. Taking further into experimental validation, all three ligands inhibited fibrillation in HEWL in simulated conditions as revealed by blue shift in Congo red assay and later expressing percentage inhibition in ThioflavinT assay as well. However, dose-dependent kinetics revealed that the antifibrillatory effects of drugs are more pronounced at low protein concentrations.Communicated by Ramaswamy H. Sarma.

Development of Computational Correlations among Known Drug Scaffolds and their Target-Specific Non-Coding RNA Scaffolds of Alzheimer's Disease.

BACKGROUND: Alzheimer's disease is the most common neurodegenerative disorder. Recent development in sciences has also identified the pivotal role of microRNAs (miRNAs) in AD pathogenesis. OBJECTIVES: We proposed a novel method to identify AD pathway-specific statistically significant miRNAs from the targets of known AD drugs. Moreover, microRNA scaffolds and corresponding drug scaffolds of different pathways were also discovered. MATERIAL AND METHODS: A Wilcoxon signed-rank test was performed to identify pathway-specific significant miRNAs. We generated feed-forward loop regulations of microRNA-TF-gene-based networks, studied the minimum free energy structures of pre-microRNA sequences, and clustered those microRNAs with their corresponding structural motifs of robust transcription factors. Conservation analyses of significant microRNAs were done, and the phylogenetic trees were constructed. We identified 3'UTR binding sites and chromosome locations of these significant microRNAs. RESULTS: In this study, hsa-miR-4261, hsa-miR-153-5p, hsa-miR-6766, and hsa-miR-4319 were identified as key miRNAs for the ACHE pathway and hsa-miR-326, hsa-miR-6133, hsa-miR-4251, hsa-miR-3148, hsa-miR-10527-5p, hsa-miR-527, and hsa-miR-518a were identified as regulatory miRNAs for the NMDA pathway. These miRNAs were regulated by several AD-specific TFs, namely RAD21, FOXA1, and ESR1. It has been observed that anisole and adamantane are important chemical scaffolds to regulate these significant miRNAs. CONCLUSION: This is the first study that developed a detailed correlation between known AD drug scaffolds and their AD target-specific miRNA scaffolds. This study identified chromosomal locations of microRNAs and corresponding structural scaffolds of transcription factors that may be responsible for miRNA co-regulation for Alzheimer's disease. Our study provides hope for therapeutic improvements in the existing microRNAs by regulating pathways and targets.

DnaK dependence of the mycobacterial stress-responsive regulator HspR is mediated through its hydrophobic C-terminal tail.

HspR is a repressor known to control expression of heat shock operons in a number of Eubacteria. In mycobacteria and in several other actinobacteria, this protein is synthesized from the dnaKJE-hspR operon. Previous investigations revealed that HspR binds to the operon promoter, thereby controlling its expression in an autoregulatory manner. DnaK, which is a product of the same operon, further aids this autoregulatory process by stimulating the operator binding activity of HspR. The molecular mechanism by which DnaK assists HspR in executing its function is not clearly understood. In this study, it has been shown that DnaK can augment DNA binding activity of HspR by two mechanisms: (i) DnaK can restore the activity of completely denatured HspR by forming a complex with it, and (ii) DnaK can prevent thermal instability of HspR renatured by other means. Unlike the first mechanism, the latter function does not involve complex formation. The C-terminal hydrophobic tail of HspR was found to play a significant role in determining its thermal stability and DnaK dependence properties. A deletion mutant in which this region is removed does not respond to thermal stress and functions independent of DnaK. The hydrophobic C-terminal tails of HspRs of Mycobacterium tuberculosis and related Actinomycetales therefore may have evolved to make these HspRs more sensitive to thermal stress and, at the same time, subject to regulation by DnaK.

In-line treatments and clinical initiatives to fight against COVID-19 outbreak.

In December 2019, when the whole world is waiting for Christmas and New Year, the physicians of Wuhan, China, are astounded by clusters of patients suffering from pneumonia from unknown causes. The pathogen isolated from the respiratory epithelium of the patients is similar to previously known coronaviruses with some distinct features. The disease was initially called nCoV-2019 or SARS-nCoV-2 and later termed as COVID-19 by WHO. The infection is rapidly propagating from the day of emergence, spread throughout the globe and now became a pandemic which challenged the competencies of developed nations in terms of health care management. As per WHO report, 216 countries are affected with SARS-CoV-19 by August 5, 2020 with 18, 142, 718 confirmed cases and 691,013 deaths reports. Such huge mortality and morbidity rates are truly threatening and calls for some aggressive and effective measures to slow down the disease transmission. The scientists are constantly engaged in finding a potential solution to diagnose and treat the pandemic. Various FDA approved drugs with the previous history of antiviral potency are repurposed for COVID-19 treatment. Different drugs and vaccines are under clinical trials and some rapid and effective diagnostic tools are also under development. In this review, we have highlighted the current epidemiology through infographics, disease transmission and progression, clinical features and diagnosis and possible therapeutic approaches for COVID-19. The article mainly focused on the development and possible application of various FDA approved drugs, including chloroquine, remdesivir, favipiravir, nefamostate mesylate, penciclovir, nitazoxanide, ribavirin etc., vaccines under development and various registered clinical trials exploring different therapeutic measures for the treatment of COVID-19. This information will definitely help the researchers to understand the in-line scientific progress by various clinical agencies and regulatory bodies against COVID-19.

Surface induced changes in coumarin solvation and photochemistry at polar solid/liquid interfaces.

Steady state and time-resolved fluorescence measurements compare the photophysical properties of Coumarin 152 (C152) and Coumarin 461 (C461) in bulk methanol solution and adsorbed to silica/vapor and silica/methanol interfaces. C152 and C461 share the same structure except for a -CF(3) (C152) or -CH(3) (C461) group at the molecule's 4-position. This modest structural difference leads to markedly different emission behavior in bulk solution and different organization when adsorbed to silica surfaces. Steady state emission spectra of C152 and C461 adsorbed to silica surfaces from bulk methanol solutions show that the two solutes have similar surface activities (ΔG(ads) of -29.0 kJ/mol and -30.8 kJ/mol for C152 and C461, respectively) and that the interface itself has a polarity similar to that of short chain alcohols. Both solutes appear to form multilayers at higher bulk concentrations given observed linear growth in fluorescence emission intensities. At higher C152 surface concentrations a second emissive state appears at longer wavelengths, whereas the emission of C461 remains dominated by a single feature. Time dependent emission of C152 and C461 adsorbed to the silica/methanol interface shows that the silica surface inhibits C152's fast, nonradiative pathway inferred from bulk solution measurements but the fluorescence lifetime of adsorbed C461 remains unchanged from bulk solution limits. These findings are discussed in terms of the interface's ability to restrict C152 isomerization into a nonradiative, twisted intramolecular charge-transfer (TICT) state, despite the fact that this conformation represents an energetic minimum in polar solvation environments.

Modeling dinitrogen activation by lithium: a mechanistic investigation of the cleavage of N2 by stepwise insertion into small lithium clusters.

Because of the inertness of molecular nitrogen, its practicable activation under mild conditions is a fundamental challenge. Nature can do it easily; chemists should be able to achieve comparable success. Lithium is exceptional among the main group elements in that it slowly reacts with N(2) at room temperature, leading finally to (NLi(3))(n), lithium nitride, a product of interest in its own right, because of its potential as a hydrogen storage medium. We explored this remarkably facile dinitrogen activation reaction by using model lithium clusters. Our extensive computations elucidate mechanisms for the ready reactions of N(2) with various model clusters, Li(2), Li(4), Li(6), and Li(8), leading to stepwise cleavage of the NN bond during dinitrogen reduction, N(2)(0) to 2 N(3-). Initial isomeric N(2)-Li(n) complexes, retaining NN triple bonds, undergo cluster insertion/reduction processes over generally low barriers. A minimum of eight lithium atoms are needed to cleave the triple bonded nitrogen completely in a highly exothermic process. Moreover, we provide an explanation for the exceptional reactivity of N(2) with Li, compared to the other alkali metals, e.g., Na and K. Li is a very strong reducing agent as its nitrides have the highest atomization energy, the shortest M-N bond distance, and the largest M-N charge separation as well as interaction energy. Our study delineates the general manner in which molecular nitrogen can be activated sequentially by electron transfer and bond elongation, to give a series of increasingly reduced complexes. We conclude that lithium incorporation into complexes might facilitate the development of nitrogen fixation catalysts.

Codon usage and gene expression pattern of Stenotrophomonas maltophilia R551-3 for pathogenic mode of living.

Stenotrophomonas maltophilia strain R551-3 is a multiple-antibiotic-resistant opportunistic human pathogen involved in nosocomial infections. It has a widely distributed GC-rich (>66%) genome. Analysis of differential expression of the genes of this genome reveals that majority of genes belonging to highly expressed category are mostly present on lagging strand without showing any strand specific codon usage bias. Relatively small number of lowly expressed genes is equally distributed on both leading and lagging strands with a difference in codon usage pattern between them. Among several multi drug resistance genes of S. maltophilia involving lowly expressed category some are predicted as horizontally transferred. It can be inferred that horizontally transferred genes may have been imported into this genome for their pathogenic mode of living. Our study may help to modify the expression level of the target genes of this human pathogen in order to control its infection.

Epigenetic Drug Repositioning for Alzheimer's Disease Based on Epigenetic Targets in Human Interactome.

BACKGROUND: Epigenetics has emerged as an important field in drug discovery. Alzheimer's disease (AD), the leading neurodegenerative disorder throughout the world, is shown to have an epigenetic basis. Currently, there are very few effective epigenetic drugs available for AD. OBJECTIVE: In this work, for the first time we have proposed 14 AD repositioning epigenetic drugs and identified their targets from extensive human interactome. METHODS: Interacting partners of the AD epigenetic proteins were identified from the extensive human interactome to construct Epigenetic Protein-Protein Interaction Network (EP-PPIN). Epigenetic Drug-Target Network (EP-DTN) was constructed with the drugs associated with the proteins of EP-PPIN. Regulation of non-coding RNAs associated with the target proteins of these drugs was also studied. AD related target proteins, epigenetic targets, enriched pathways, and functional categories of the proposed repositioning drugs were also studied. RESULTS: The proposed 14 AD epigenetic repositioning drugs have overlapping targets and miRs with known AD epigenetic targets and miRs. Furthermore, several shared functional categories and enriched pathways were obtained for these drugs with FDA approved epigenetic drugs and known AD drugs. CONCLUSIONS: The findings of our work might provide insight into future AD epigenetic-therapeutics.

Differential colchicine-binding across eukaryotic families: the role of highly conserved Pro268beta and Ala248beta residues in animal tubulin.

Colchicine-tubulin interaction, responsible for the disruption of microtubule formation, has immense pharmacological importance but is poorly understood in terms of its biological significance. The interaction is characterized by a marked higher affinity of colchicine for animal tubulins compared to tubulins from plants, fungi and protists. From an analysis of tubulin sequences and colchicine-tubulin crystal structure, we propose that Pro268beta and Ala248beta (270beta and 250beta in the crystal structure 1SA0) in animal tubulin are crucial for the observed differential binding. We also suggest that mediated by the binding of endogenous molecules to the colchicine-binding site, microtubule assembly in eukaryotes may be modulated in a family specific manner.

Computational study of glyceraldehyde-3-phosphate dehydrogenase of Entamoeba histolytica: implications for structure-based drug design.

Glyceraldehyde-3-phosphate dehydrogenase (GAPDH) of the pathogenic protozoa Entamoeba histolytica (Eh) is a major glycolytic enzyme and an attractive drug target since this parasite lacks a functional citric acid cycle and is dependent solely on glycolysis for its energy requirements. The three-dimensional structure of dimeric EhGAPDH in complex with cofactor NAD(+) has been generated by homology modeling based on the crystal structure of human liver GAPDH. Our refined model indicates the presence of a parasite specific disulfide bond between two cysteine residues of adjacent monomers in the EhGAPDH dimer, which may be an important target for future drug design. Flexible docking with the substrate glyceraldehyde-3-phosphate (G3P) shows that Cys151, His178, Thr210, and Arg233 are important residues in G3P binding. The inorganic phosphate-binding site of EhGAPDH has been determined by docking study. The binding mode of a natural GAPDH inhibitor, chalepin to EhGAPDH has also been predicted. In search for a better inhibitor for EhGADPH, in silico modification of chalepin has been carried out to form an additional specific polar interaction with Asp194 of EhGAPDH whose equivalent is Leu195 in human GAPDH. In the absence of a crystal structure, our study provides an early insight into the structure of major drug target EhGAPDH, thus, facilitating the inhibitor design.

Structural insight into GRIP1-PDZ6 in Alzheimer's disease: study from protein expression data to molecular dynamics simulations.

Protein-protein interaction domain, PDZ, plays a critical role in efficient synaptic transmission in brain. Dysfunction of synaptic transmission is thought to be the underlying basis of many neuropsychiatric and neurodegenerative disorders including Alzheimer's disease (AD). In this study, Glutamate Receptor Interacting Protein1 (GRIP1) was identified as one of the most important differentially expressed, topologically significant proteins in the protein-protein interaction network. To date, very few studies have analyzed the detailed structural basis of PDZ-mediated protein interaction of GRIP1. In order to gain better understanding of structural and dynamic basis of these interactions, we employed molecular dynamics (MD) simulations of GRIP1-PDZ6 dimer bound with Liprin-alpha and GRIP1-PDZ6 dimer alone each with 100 ns simulations. The analyses of MD simulations of Liprin-alpha bound GRIP1-PDZ6 dimer show considerable conformational differences than that of peptide-free dimer in terms of SASA, hydrogen bonding patterns, and along principal component 1 (PC1). Our study also furnishes insight into the structural attunement of the PDZ6 domains of Liprin-alpha bound GRIP1 that is attributed by significant shift of the Liprin-alpha recognition helix in the simulated peptide-bound dimer compared to the crystal structure and simulated peptide-free dimer. It is evident that PDZ6 domains of peptide-bound dimer show differential movements along PC1 than that of peptide-free dimers. Thus, Liprin-alpha also serves an important role in conferring conformational changes along the dimeric interface of the peptide-bound dimer. Results reported here provide information that may lead to novel therapeutic approaches in AD.

Small cationic protein from a marine turtle has beta-defensin-like fold and antibacterial and antiviral activity.

Egg white of marine turtle Caretta caretta contains a small cationic protein but lacks lysozyme. The protein was sequenced by a combination of sequential Edman degradation, carboxypeptidase digestion, nuclear magnetic resonance (NMR) and electrospray ionization tandem mass spectrometry. The protein contains 36 amino acid residues of which six are half-cysteines. The three-dimensional structure of the protein was deduced from two-dimensional NMR experiments and was observed to be similar to vertebrate beta-defensins. However, disulfide connectivity is C1-C6/C2-C5/C3-C4; different from that of the vertebrate beta-defensins. The protein showed strong antibacterial activity against Escherichia coli and Salmonella typhimurium. The protein also showed significant antiviral activity against an enveloped rhabdovirus, Chandipura virus, which is an emerging human pathogen. This virus is also closely related to the vesicular stomatitis virus, whose growth was also inhibited. This small cationic protein is part of the innate immunity of this organism and replaces lysozyme in the egg. It has the potential to be developed as an antibacterial and antiviral agent.

Insight into the Epigenetics of Alzheimer's Disease: A Computational Study from Human Interactome.

BACKGROUND: Alzheimer's disease (AD) is the most prevalent neurodegenerative disease throughout the world. Most of the clinical symptoms of AD appear at a very later stage, therefore, the identification of disease markers is essential which can help proper detection of AD at an earlier stage and slow down its progression. Studies have implicated that epigenetic biomarkers, such as DNA methylation, histone modification and non coding RNA mediated regulation serve crucial roles in several disease progression including AD. OBJECTIVE: The aim of our study was to identify the topologically significant AD-related proteins from experimentally validated human protein-protein interaction database, HPRD (interactome) and find out novel epigenetic biomarkers. METHOD: In this computational work, we constructed AD specific diseasome from AD genelist and interactome. Using this diseasome we screened the interactome with the help of novel parameters namely degree band and similarity index and identified AD related proteins. Regulatory network involving AD related proteins, not previously known to be associated with AD was constructed. Several network motifs and epigenetic modification patterns of regulators of these motifs were studied. RESULT: Our study identified computationally predicted 22 epigenetic genes and 11 epigenetic miRs, not previously known to be associated with AD, from the network motifs. Most of these genes and miRs show brain specific expression. Further study on the epigenetic modification patterns of these regulators regarding histone modification, CpG island and lncRNAs strengthened their association in AD. CONCLUSION: Computationally predicted genes and miRs identified in our study might provide insight into new epigenetic AD therapeutic targets.

Homology modeling of a transcriptional regulator SoxR of the Lithotrophic sulfur oxidation (Sox) operon in alpha-proteobacteria.

Microbial oxidation of reduced inorganic sulfur compounds in the environment is one of the major reactions of the global sulfur cycle mediated by phylogenetically diverse prokaryotes. The sulfur oxidizing gene cluster (sox) of alpha-Proteobacteria comprises of at least 15 genes, which form two transcriptional units, viz soxSRT and soxVWXYZABCDEFGH. Sequence analysis reveals that SoxR belongs to the ArsR family of helix-turn-helix DNA binding proteins. Although SoxR proteins do not contain the conserved metal-binding box, ELCVCDL, but there are a number of well conserved residues present throughout the sequence that are previously identified in the known ArsR family proteins. We employed homology modeling to construct the three-dimensional structure of the SoxR from chemolithotrophic alpha-Proteobacteria Pseudaminobacter salicylatoxidans KCT001. The predicted homology model of SoxR shows an overall structural similarity with winged helix-turn-helix family proteins. Since dimerization is essential for DNA binding and repression by the ArsR family proteins we have generated the dimeric model of SoxR that enables us to predict the DNA binding residues of the protein as well as the interaction of SoxR with the predicted promoter region of sox gene cluster.