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1.  16SrRNA sequencing of Dye decolorizing bacteria isolated from Soil 
Bioinformation  2015;11(1):1-5.
Dye׳s residues in textile effluents are hazardous for humans and animals health. Such pollutants can be degraded into non-harmful molecules using biological approaches that are considered cheaper and ecologically safer. Isolated 15 bacterial cultures from soil that could be used in biological system were showed decolorization capacity for Acid Green dye (33.9% to 94.0%) using thin layer chromatography and broth culture method. The most promising cultures (AMC3) to decolorize Acid green Dye (94.6%) was re-coded as NSDSUAM for submitting at IMTECH, Chandigarh for sequencing. The 16SrRNA sequencing suggested that it can be a variant of Pseudomonas geniculata (99.85% identical similarity) with difference of 2 base pairs to reference strain Pseudomonas geniculata ATCC 19374(T). Thus present study proposed dye decolorizing efficiency of the isolated strain of Pseudomonas geniculata that was previously unnoticed. The sequence is deposited in NCBI GenBank with the accession number KP238100.
PMCID: PMC4349931  PMID: 25780272
Bacteria; pollutants; TLC; biodegradation; 16S rRNA sequencing; Azoreductase
2.  Handling class imbalance problem in miRNA dataset associated with cancer 
Bioinformation  2015;11(1):6-10.
MiRNAs are small (~22nt long) non-coding RNA sequences; binds to the complementarity target sites in 3' Untranslated Region (UTR) of mRNA sequences but not restricted to other mRNA regions viz., 5' UTR and Coding sequences (CDS). Complementarity binding of miRNA to mRNA target sites either results in complete degradation of the mRNA itself or it may regulate the mRNA as an oncogene or as a tumor suppressor gene. However, the exact mechanism involved in identifying a miRNA to be associated with cancer is still unclear. Further, with the outburst in the number of miRNAs sequences recorded every year in miRBase, the gap is still widening mainly due to the laborious and economically unfavorable experimental procedures associated with the functional annotation. Motivated by the fact, we constructed a two-step support vector machine-based predictive model - miRSEQ and miRINT. However, the major pitfall during the construction of the model is the class imbalance problem. Hence, in order to overcome class imbalance problem, in the present study we empirically compare the effectiveness of two different methods viz., Synthetic Minority Oversampling Technique (SMOTE) and cost-senstive learning method. Performance measures were evaluated in terms of Precision and Recall. Based on our result, it was observed that for miRNA dataset with high class imbalance utilized for predicting association of cancer, cost-sensitive method outperformed the oversampling method.
PMCID: PMC4349932  PMID: 25780273
Cost-sensitive; SMOTE; miRNA-mRNA interaction; Support Vector Machines
3.  Structure and functional annotation of hypothetical proteins having putative Rubisco activase function from Vitis vinifera 
Bioinformation  2015;11(1):11-16.
Rubisco is a very large, complex and one of the most abundant proteins in the world and comprises up to 50% of all soluble protein in plants. The activity of Rubisco, the enzyme that catalyzes CO2 assimilation in photosynthesis, is regulated by Rubisco activase (Rca). In the present study, we searched for hypothetical protein of Vitis vinifera which has putative Rubisco activase function. The Arabidopsis and tobacco Rubisco activase protein sequences were used as seed sequences to search against Vitis vinifera in UniprotKB database. The selected hypothetical proteins of Vitis vinifera were subjected to sequence, structural and functional annotation. Subcellular localization predictions suggested it to be cytoplasmic protein. Homology modelling was used to define the three-dimensional (3D) structure of selected hypothetical proteins of Vitis vinifera. Template search revealed that all the hypothetical proteins share more than 80% sequence identity with structure of green-type Rubisco activase from tobacco, indicating proteins are evolutionary conserved. The homology modelling was generated using SWISS-MODEL. Several quality assessment and validation parameters computed indicated that homology models are reliable. Further, functional annotation through PFAM, CATH, SUPERFAMILY, CDART suggested that selected hypothetical proteins of Vitis vinifera contain ATPase family associated with various cellular activities (AAA) and belong to the AAA+ super family of ring-shaped P-loop containing nucleoside triphosphate hydrolases. This study will lead to research in the optimization of the functionality of Rubisco which has large implication in the improvement of plant productivity and resource use efficiency.
PMCID: PMC4349933  PMID: 25780274
Rubisco activase; Rubisco; Vitis vinifera; hypothetical protein; homology modelling; functional annotation
4.  Genome-wide identification of antimicrobial peptides in the liver fluke, Clonorchis sinensis 
Bioinformation  2015;11(1):17-20.
The increase in prevalence of antimicrobial resistance makes the search for new antibiotic agents imperative. Antimicrobial peptides (AMPs) from natural resources have been recognized as suitable tools to combat antibiotic-resistant bacteria. The liver fluke Clonorchis sinensis living in germ-filled environments could be a good source of antimicrobials. Here, we report the use of a rational protocol that combines AMP predictions based on their physicochemical properties and their in vivo stability to discover AMP candidates from the entire genome of C. sinensis. To screen AMP candidates, in silico analyses based on the physicochemical properties of known AMPs, such as length, charge, isoelectric point, and in vitro and in vivo aggregation values were performed. To enhance their in vivo stability, proteins having proteolytic cleavage sites were excluded. As a consequence, four high-activity, highstability peptides were identified. These peptides could be potential starting materials for the development of new AMPs via structural modification and optimization. Thus, this study proposes a refined computational method to develop new AMPs and identifies four AMP candidates, which could serve as templates for further development of peptide antibiotics.
PMCID: PMC4349934  PMID: 25780275
Antibiotics; Infection; Antibacterial agent; Bioinformatics; Rational drug design
5.  Identification of Ellagic acid analogues as potent inhibitor of protein Kinase CK2:A chemopreventive role in oral Cancer 
Bioinformation  2015;11(1):21-26.
Over expression of Protein kinase (CK2) suppresses apoptosis induced by a variety of agents, whereas down-regulation of CK2 sensitizes cells to induction of apoptosis. In this study, we have built quantitative structure activity relationship (QSAR) models, which were trained and tested on experimentally verified 38 enzyme׳s inhibitors having inhibitory value IC50 in µM. These inhibitors were docked at the active site of CK2 (PDB id: 2ZJW) using AutoDock software, which resulted in energy-based descriptors such as binding energy, intermol energy, torsional energy, internal energy and docking energy. For QSAR modeling, Multiple Linear Regression (MLR) model was engendered using energy-based descriptors yielding correlation coefficient r2 of 0.4645. To assess the predictive performance of QSAR models, different cross-validation procedures were adopted. Our results suggests that ligand-receptor binding interactions for CK2 employing QSAR modeling seems to be a promising approach for prediction of IC50 value of a new ligand molecule against CK2.Further, twenty analogues of ellagic acid were docked with CK2 structure. After docking, two compounds CID 46229200 and CID 10003463 had lower docking energy even lower than standard control Ellagic acid with CK2 was selected as potent candidate drugs for Oral cancer. The biological activity of two compounds in terms of IC50 was predicted based on QSAR model, which could be used as a guideline for anticancerous activity of compounds before their synthesis.
PMCID: PMC4349935  PMID: 25780276
Ellagic acid; Docking; CK2; AutoDock; Ellagic acid analogues; Protein kinase
6.  A novel feature extraction approach for microarray data based on multi-algorithm fusion 
Bioinformation  2015;11(1):27-33.
Feature extraction is one of the most important and effective method to reduce dimension in data mining, with emerging of high dimensional data such as microarray gene expression data. Feature extraction for gene selection, mainly serves two purposes. One is to identify certain disease-related genes. The other is to find a compact set of discriminative genes to build a pattern classifier with reduced complexity and improved generalization capabilities. Depending on the purpose of gene selection, two types of feature extraction algorithms including ranking-based feature extraction and set-based feature extraction are employed in microarray gene expression data analysis. In ranking-based feature extraction, features are evaluated on an individual basis, without considering inter-relationship between features in general, while set-based feature extraction evaluates features based on their role in a feature set by taking into account dependency between features. Just as learning methods, feature extraction has a problem in its generalization ability, which is robustness. However, the issue of robustness is often overlooked in feature extraction. In order to improve the accuracy and robustness of feature extraction for microarray data, a novel approach based on multi-algorithm fusion is proposed. By fusing different types of feature extraction algorithms to select the feature from the samples set, the proposed approach is able to improve feature extraction performance. The new approach is tested against gene expression dataset including Colon cancer data, CNS data, DLBCL data, and Leukemia data. The testing results show that the performance of this algorithm is better than existing solutions.
PMCID: PMC4349936  PMID: 25780277
feature extraction; robustness; microarray data; multi-algorithm fusion
7.  Analysis of expressed sequence tags from cDNA library of Fusarium culmorum infected barley (Hordeum vulgare L.) roots 
Bioinformation  2015;11(1):34-38.
Fusarium culmorum is one of the most common and globally important causal agent of root and crown rot diseases of cereals. These diseases cause grain yield loss and reduced grain quality in barley. In this study, we have analyzed an expressed sequence tag (EST) database derived from F. culmorum infected barley root tissues available at the National Center for Biotechnology Information (NCBI). The 2294 sequences were assembled into 1619 non-redundant sequences consisting of 359 contigs and 1260 singletons using the program CAP3. BLASTX analysis for these sequences was conducted in order to find similar sequences in all databases. Gene Ontology search, enzyme search, KEGG mapping and InterProScan search were done using Blast2GO 3.0.7 tool. By BLASTX analysis, 41.7%, 7.7%, 3.2% and 47.4% of ESTs were categorized as annotated, unannotated, not mapping and without blast hits, respectively. BLASTX analysis revealed that the majority of top hits were barley proteins (43.5%). Based on Gene Ontology classification, 38.3%, 31.3%, and 16% of ESTs were assigned to molecular function, biological process, and cellular component GO terms, respectively. Most abundant GO terms were as follows: 157 sequences were related to response to stress (biological process), 207 sequences were related to ion binding (molecular function), and 160 sequences were related to plastid (cellular component). Furthermore, based on KEGG mapping, 369 sequences could be assigned to 264 enzymes and 83 different KEGG pathways. According to Enzyme Commission (EC) distribution; 94 sequences were transferases (EC2) while 70 sequences were hydrolases (EC3).
PMCID: PMC4349937  PMID: 25780278
barley; ESTs; root rot and crown rot diseases; Fusarium culmorum
8.  SBION2: Analyses of Salt Bridges from Multiple Structure Files, Version 2 
Bioinformation  2015;11(1):39-42.
Specific electrostatics (i.e. salt-bridge) includes both local and non-local interactions that contribute to the overall stability of proteins. It has been shown that a salt-bridge could either be buried or exposed, networked or isolated, hydrogen-bonded or nonhydrogen bonded, in secondary-structure or in coil, formed by single or multiple bonds. Further it could also participates either in intra- or inter-dipole interactions with preference in orientation either for basic residue at N-terminal (orientation-I) or acidic residue at N-terminal (orientation-II). In this context SBION2 is unique in that it reports above mentioned binary items in excel format along with details on intra and inter-dipole interactions and orientations. These results are suitable for post run statistical analyses involving large datasets. Reports are also made on protein-protein interactions, intervening residue distances and general residue specific salt-bridge details. A ready to use compact supplementary table is also produced. The program runs in three alternative modes. Each mode works on any number of structure files with any number of chains at any given atomic distance of ion-pair. Thus SBION2 provides intricate details on salt-bridges and finds application in structural bioinformatics.
SBION2 is freely available at for academic users
PMCID: PMC4349938  PMID: 25780279
salt-bridge; intra helical; bond multiplicity; core; surface; networked; isolated
9.  Disease associated cellular machinery in anaphylaxis – And the de novo paradigm shift 
Bioinformation  2015;11(1):43-46.
Anaphylaxis is a sudden immune reaction against an allergen that can potentially lead to Anaphylactic Shock (AS). This immune reaction is characterized by an increase in Immunoglobulin-E (IgE) type of antibodies that bind with FcεRI receptors on mast cells to release inflammatory mediators. Various intracellular signaling molecules downstream of IgE/ FcεRI axis play a potential role in cytokine, chemokine and eicosanoid secretion as well as degranulation of immune cells causing vasodilation, vascular permeability, and reduction of intravascular volume leading to cardiovascular collapse. Here, we discuss the cellular machinery of anaphylaxis and the de novo paradigm shift in the cellular aspects of AS.
PMCID: PMC4349939  PMID: 25780280
Anaphylaxis; Anaphylactic shock; Immunoglobulin E; Mast cells; Cytokines; Chemokines; Paradigm shift
10.  Viral immune surveillance: Toward a TH17/TH9 gate to the central nervous system 
Bioinformation  2015;11(1):47-54.
Viral cellular immune surveillance is a dynamic and fluid system that is driven by finely regulated cellular processes including cytokines and other factors locally in the microenvironment and systemically throughout the body. It is questionable as to what extent the central nervous system (CNS) is an immune-privileged organ protected by the blood-brain barrier (BBB). Recent evidence suggests converging pathways through which viral infection, and its associated immune surveillance processes, may alter the integrity of the blood-brain barrier, and lead to inflammation, swelling of the brain parenchyma and associated neurological syndromes. Here, we expand upon the recent “gateway theory”, by which viral infection and other immune activation states may disrupt the specialized tight junctions of the BBB endothelium making it permeable to immune cells and factors. The model we outline here builds upon the proposition that this process may actually be initiated by cytokines of the IL-17 family, and recognizing the intimate balance between TH17 and TH9 cytokine profiles systemically. We argue that immune surveillance events, in response to viruses such as the Human Immunodeficiency Virus (HIV), cause a TH17/TH9 induced gateway through blood brain barrier, and thus lead to characteristic neuroimmune pathology. It is possible and even probable that the novel TH17/TH9 induced gateway, which we describe here, opens as a consequence of any state of immune activation and sustained chronic inflammation, whether associated with viral infection or any other cause of peripheral or central neuroinflammation. This view could lead to new, timely and critical patient-centered therapies for patients with neuroimmune pathologies across a variety of etiologies.
BBB - blood brain barrier, BDV - Borna disease virus, CARD - caspase activation and recruitment domains, CD - clusters of differentiation, CNS - central nervous system, DAMP - damage-associated molecular patterns, DENV - Dengue virus, EBOV - Ebola virus, ESCRT - endosomal sorting complex required for transport-I, HepC - Hepatitis C virus, HIV - human immunodeficiency virus, IFN - interferon, ILn - interleukin-n, IRF-n - interferon regulatory factor-n, MAVS - mitochondrial antiviral-signaling, MBGV - Marburg virus, M-CSF - macrophage colony-stimulating factor, MCP-1 - monocyte chemotactic protein 1 (aka CCL2), MHC - major histocompatibility complex, MIP-α β - macrophage inflammatory protein-1 α β (aka CCL3 & CCL4), MIF - macrophage migration inhibitory factor, NVE - Nipah virus encephalitis, NK - natural killer cell, NLR - NLR, NOD - like receptor, NOD - nucleotide oligomerization domain, PAMP - pathogen-associated molecular patterns, PtdIns - phosphoinositides, PV - Poliovirus, RIG-I - retinoic acid-inducible gene I, RIP - Receptor-interacting protein (RIP) kinase, RLR - RIG-I-like receptor, sICAM1 - soluble intracellular adhesion molecule 1, STAT-3 - signal tranducer and activator of transcription-3, sVCAM1 - soluble vascular cell adhesion molecule 1, TANK - TRAF family member-associated NF- . B activator, TBK1 - TANK-binding kinase 1, TLR - Toll-like receptor, TNF - tumor necrosis factor, TNFR - TNF receptor, TNFRSF21 - tumor necrosis factor receptor superfamily member 21, TRADD TNFR-SF1A - associated via death domain, TRAF TNFR - associated factor, Tregs - regulatory T cellsubpopulation (CD4/8+CD25+FoxP3+), VHF - viral hemorrhagic fever.
PMCID: PMC4349940  PMID: 25780281
viral immune surveillance and evasion; M1 & M2 macrophages; Tregs; TH17; neuroinflammation; blood-brain barrier; “gateway theory”; TH17/TH9 BBB gateway model
11.  Challenges in Health Research Funding: an opinion 
Bioinformation  2015;11(2):55-56.
PMCID: PMC4369678  PMID: 25848163
12.  Neutralization function affected by single amino acid replacement in the HIV-1 antibody targets 
Bioinformation  2015;11(2):57-62.
The viral envelope glycoproteins are essential for entry into their host cells and studied extensively for designing vaccines. We hypothesize that the glycosylation on the HIV-1 viral envelope glycoprotein 41(gp41) at critical residues offers viral escape from the specific immune surveillant neutralizing antibodies Z13, 4E10 and 10E8 targeted to their linear epitopes in the Membrane Proximal External Region (MPER). The glycosylation occurring on the 50th residue (Asparagine) contained in the target (NWFNIT) can mask itself to be inaccessible for these neutralizing antibodies. The glycosylation rate of the epitopes which are shared by the Z13, 4E10 and 10E8 neutralizing antibodies of HIV-1 were predicited in silico. We analyzed the reliable frequency of glycosylation on the HIV-1 envelope gp41 using prediction tools to unravel the plausibility of the glycosylation by a mannose at 50th residue in the 59 amino acid long HIV-gp41 trimer (PDBID: 2M7W and 2LP7). It is evident that the glycosylation by a mannose that masks these targets is possible only when the 50th amino-acid is N (Asparagine, Asn) which is not possible when N is mutated to D (Aspartatic acid, Asp). The additive advantage for the retrovirus is its error-prone reverse transcriptase which can choose to copy these survivable mutants with Asn N-50 that can be glycosylated as explained by the Copy-choice model. So the glycan shields varying in their intensity and patterns have to be essentially studied to understand the viral escape strategies that will give a way forward towards a successful vaccine that can elicit a neutralizing antibody response to confer protection.
PMCID: PMC4369679  PMID: 25848164
N- linked glycosylation; HIV gp41; Immune escape; Neutralizing antibodies; Immunogens
13.  Pharmacophore elucidation and molecular docking studies on phosphodiesterase-5 inhibitors 
Bioinformation  2015;11(2):63-66.
cGMP-binding cGMP-specific PDE, PDE5 plays a key role in the hydrolysis of cyclic guanidine monophosphate. Because cGMP mediates vascular functions, a PDE5 inhibitor that elevates cGMP level is an attractive means for vasodilatation and treatment of erectile dysfunction. In this paper we report the elucidation of the common pharmacophore hypothesis of different classes of PDE5 inhibitors. Using LigandScout program, pharmacophore modelling studies were performed on prior reported potent PDE5 inhibitors with a variety of scaffolds in order to identify one common set of critical chemical features of these PDE5 inhibitors 1-52. The best pharmacophore model, model-1, characterized by four chemical features: one aromatic ring, one hydrophobe, one hydrogen acceptors and one hydrogen donor. Using Dock6 program, docking studies were performed in order to investigate the mode of binding of these compounds. The molecular docking study allowed confirming the preferential binding mode of different classes of PDE5 inhibitors inside the active site. The obtained binding mode was as same as that of vardenafil, X-ray ligand with different orientation with varied PDE5 inhibitors׳ scaffold.
PMCID: PMC4369680  PMID: 25848165
pharmacophore; molecular Docking; Phosphodiesterase-5
14.  Comparative sequence-structure analysis of Aves insulin 
Bioinformation  2015;11(2):67-72.
Normal blood glucose level depends on the availability of insulin and its ability to bind insulin receptor (IR) that regulates the downstream signaling pathway. Insulin sequence and blood glucose level usually vary among animals due to species specificity. The study of genetic variation of insulin, blood glucose level and diabetics symptoms development in Aves is interesting because of its optimal high blood glucose level than mammals. Therefore, it is of interest to study its evolutionary relationship with other mammals using sequence data. Hence, we compiled 32 Aves insulin from GenBank to compare its sequence-structure features with phylogeny for evolutionary inference. The analysis shows long conserved motifs (about 14 residues) for functional inference. These sequences show high leucine content (20%) with high instability index (>40). Amino acid position 11, 14, 16 and 20 are variable that may have contribution to binding to IR. We identified functionally critical variable residues in the dataset for possible genetic implication. Structural models of these sequences were developed for surface analysis towards functional representation. These data find application in the understanding of insulin function across species.
PMCID: PMC4369681  PMID: 25848166
Aves Insulin; blood glucose level; sequence-structure analysis; physic-chemical properties
15.  In silico pharmacokinetic and molecular docking studies of small molecules derived from Indigofera aspalathoides Vahl targeting receptor tyrosine kinases 
Bioinformation  2015;11(2):73-84.
Angiogenesis is the formation of new blood vessels from preexisting vascular network that plays an important role in the tumor growth, invasion and metastasis. Anti-angiogenesis targeting tyrosine kinases such as vascular endothelial growth factor receptor 2 (VEGFR2) and platelet derived growth factor receptor β (PDGFRβ) constitutes a successful target for the treatment of cancer. In this work, molecular docking studies of three bioflavanoid such as indigocarpan, mucronulatol, indigocarpan diacetate and two diterpenes namely erythroxydiol X and Y derived from Indigofera aspalathoides as PDGFRβ and VEGFR2 inhibitors were performed using computational tools. The crystal structures of two target proteins were retrieved from PDB website. Among the five compounds investigated, indigocarpan exhibited potent binding energy ΔG = -7.04 kcal/mol with VEGFR2 and ΔG = -4.82 with PDGFRβ compared to commercially available anti-angiogenic drug sorafenib (positive control). Our results strongly suggested that indigocarpan is a potent angiogenesis inhibitor as ascertained by its potential interaction with VEGFR2 and PDGFRβ. This hypothesis provides a better insight to control metastasis by blocking angiogenesis.
PMCID: PMC4369682  PMID: 25848167
VEGFR2; PDGFRβ; Angiogenesis; Lipinski rules; Autodock; Indigocarpan
16.  High quality SNPs/Indels mining and characterization in ginger from ESTs data base 
Bioinformation  2015;11(2):85-89.
Ginger (Zingiber officinale Rosc.) is an important herb of the family Zingiberaceae. It is accepted as a universal cure for a multitude of diseases in Indian systems of medicine and its rhizomes are equally popular as a spice ingredient throughout Asia. SNPs, the definitive genetic markers, representing the finest resolution of a DNA sequence, are abundantly found in populations having a lower rate of mutation and are used for genomic analysis. The public ESTs sequences mostly lack quality files, making high quality SNPs detection more difficult since it is exclusively based on sequence comparisons. In the present study, current dbESTs of NCBI was mined and 38115 ginger ESTs sequences were obtained and assembled into contigs using CAP3 program. In this analysis, recent software tool QualitySNP was used to detect 11523 potential SNPs sites, 8810 high quality SNPs and 1008 indels polymorphisms with a frequency of 1.61 SNPs / 10 kbp. Of ESTs libraries generated from three ginger tissues together, rhizomes had a frequency of 0.32 SNPs and 0.03 indels per 10 kbp whereas the leaves had a frequency of 2.51 SNPs and 0.23 indels per 10 kbp and root is showing relative frequency of 0.76/10 kbp SNPs and 0.02/10 kbp indels. The present analysis provides additional information about the tissue wise presence of haplotypes (222), distribution of high quality exonic (2355) and intronic (6455) SNPs and information about singletons (7538) in addition to contigs transitions and transversions ratio (0.57). Among all tissue detected SNPs, transversions number is higher in comparison to the number of transitions. Quality SNPs detected in this work can be used as markers for further ginger genetic experiments.
PMCID: PMC4369683  PMID: 25848168
Zingiber officinale; Ginger; QualitySNP; ESTs; in silico; Indels
17.  Application of centrality measures in the identification of critical genes in diabetes mellitus 
Bioinformation  2015;11(2):90-95.
The connectivity of a protein and its structure is related to its functional properties. Many experimental approaches have been employed for the identification of Diabetes Mellitus (DM) associated candidate genes. Therefore, it is of interest to use var ious graph centrality measures integrated with the genes associated with the human Diabetes Mellitus network for the identification of potential targets. We used 2728 genes known to cause Diabetes Mellitus from Jensenlab (Novo Nordisk Foundation Center for Protein Research, Denmark) for this analysis. A protein-protein interaction network was further constructed using a tool Centralities in Biological Networks (CentiBiN) with 1020 nodes after eliminating the duplicates, parallel edges, self -loop edges and unknown Human Protein Reference Database (HPRD) IDS. We used fourteen centralities measures which are useful in identifying the structural characteristic of individuals in the network. The results of the centrality measures are highly correlated. Thus, we identified genes that are critically associated with DM. We further report the top ten genes of all fourteen centrality measures for further consideration as targets for DM.
PMCID: PMC4369684  PMID: 25848169
18.  In vitro Osteogenic impulse effect of Dexamethasone on periodontal ligament stem cells 
Bioinformation  2015;11(2):96-100.
Periodontium is a complex organ composed of mineralized epithelial and connective tissue. Dexamethasone could stimulate proliferation of osteoblast and fibroblasts. This study aimed to assess the osteogenic effect of dexamethasone on periodental ligament (PDL) stem cells. PDL stem cells were collected from periodontal ligament tissue of root of extracted premolar of young and healthy people. The stem cells were cultured in α-MEM Medium in three groups, one group with basic medium contains (α- MEM and FBS 10 % and 50 mmol of β_ gelisrophosphat and L_ ascorbic acid µg/ml), the second group: basic medium with dexamethasone and the third one: basic medium without any osteogenic stimulant. Mineralization of cellular layer was analyzed with Alizarin red stain method. Osteogenic analysis was done by Alkaline phosphates and calcium test. These analysis indicated that the amount of intra-cellular calcium and alkaline phosphates in the Dexamethasone group was far more than the control and basic group (P<0.05). The results of Alizarin red stain indicated more mineralization of cultured cells in Dexamethasone group (P<0.05). The study results showed that Dexamethasone has significant osteogenic effect on PDL stem cells and further studies are recommended to evaluate its effect on treatment of bone disorders.
PMCID: PMC4369685  PMID: 25848170
PDL stem cell; dexamethasone; alizarin red; in vitro
19.  A study on the regulatory network with promoter analysis for Arabidopsis DREB-genes 
Bioinformation  2015;11(2):101-106.
Dehydration response element binding factors (DREBs) are one of the principal plant transcription factor subfamilies that regulate the expression of many abiotic stress-inducible genes. This sub-family belongs to AP2 transcription factor family and plays a considerable role in improving abiotic stresses tolerance in plants. Therefore, it is of interest to identify critical cis-acting elements involved in abiotic stress responses. In this study, we survey promoter cis-elements for ATDREBs genes (Arabidopsis thaliana DREBs). Regulatory networks based on ATDREB candidate genes were also generated to find other genes that are functionally similar to DREBs. The study was conducted on all 20 Arabidopsis thaliana non redundant DREB genes stored in RefSeq database. Promoter analysis and regulatory network prediction was accomplished by use of Plant CARE program and GeneMANIA web tool, respectively. The results indicated that among all genes, DREB1A, DREB1C, DREB2C, DREB2G and DEAR3 have the most type of diverse motifs involved in abiotic stress responses. It is implied that co-operation of abscisic acid, ethylene, salicylic acid and methyl jasmonate signaling is crucial for the regulation of the expression of drought and cold responses through DREB transcription factors. Gene network analysis showed different co-expressed but functionally similar genes that had physical and functional interactions with candidate DREB genes.
PMCID: PMC4369686  PMID: 25848171
Abiotic stress; Arabidopsis; DREB; Transcription factor; Promoter analysis; Gene network
20.  ISOB: A Database of Indigenous Snake Species of Bangladesh with respective known venom composition 
Bioinformation  2015;11(2):107-114.
At present there is no well structured database available for the venomous snakes and venom composition of snakes in the world although venom has immense importance in biomedical research. Searching for a specific venom component from NCBI, PDB or public databases is troublesome, because they contain huge amount of data entries. Therefore, we created a database named “ISOB” which is a web accessible unique secondary database that represents the first online available bioinformatics resource showing venom composition of snakes. This database provides a comprehensive overview of seventy-eight indigenous snake species covering description of snakes supplemented with structural information of the relevant individual available venom proteins. We strongly believe that this database will contribute significantly in the field of bioinformatics, environmental research, proteomics, drug development and rationale drug designing.
The database is freely available at
PMCID: PMC4369687  PMID: 25848172
Snake venom; Database; Indigenous snakes; Bangladesh; 3D structure
21.  Computational identification and analysis of MADS box genes in Camellia sinensis 
Bioinformation  2015;11(3):115-121.
MADS (Minichromosome Maintenance1 Agamous Deficiens Serum response factor) box genes encode transcription factors and they play a key role in growth and development of flowering plants. There are two types of MADS box genes- Type I (serum response factor (SRF)-like) and Type II (myocyte enhancer factor 2 (MEF2)-like). Type II MADS box genes have a conserved MIKC domain (MADS DNA-binding domain, intervening domain, keratin-like domain, and c-terminal domain) and these were extensively studied in plants. Compared to other plants very little is known about MADS box genes in Camellia sinensis. The present study aims at identifying and analyzing the MADS-box genes present in Camellia sinensis. A comparative bioinformatics and phylogenetic analysis of the Camellia sinensis sequences along with Arabidopsis thaliana MADS box sequences available in the public domain databases led to the identification of 16 genes which were orthologous to Type II MADS box gene family members. The protein sequences were classified into distinct clades which are associated with the conserved function of flower and seed development. The identified genes may be used for gene expression and gene manipulation studies to elucidate their role in the development and flowering of tea which may pave the way to improve the crop productivity.
PMCID: PMC4403032  PMID: 25914445
Bioinformatics; Crop productivity; Flowering; MADS box genes; Tea; Transcription factor
22.  Modularity in the evolution of yeast protein interaction network 
Bioinformation  2015;11(3):127-130.
Protein interaction networks are known to exhibit remarkable structures: scale-free and small-world and modular structures. To explain the evolutionary processes of protein interaction networks possessing scale-free and small-world structures, preferential attachment and duplication-divergence models have been proposed as mathematical models. Protein interaction networks are also known to exhibit another remarkable structural characteristic, modular structure. How the protein interaction networks became to exhibit modularity in their evolution? Here, we propose a hypothesis of modularity in the evolution of yeast protein interaction network based on molecular evolutionary evidence. We assigned yeast proteins into six evolutionary ages by constructing a phylogenetic profile. We found that all the almost half of hub proteins are evolutionarily new. Examining the evolutionary processes of protein complexes, functional modules and topological modules, we also found that member proteins of these modules tend to appear in one or two evolutionary ages. Moreover, proteins in protein complexes and topological modules show significantly low evolutionary rates than those not in these modules. Our results suggest a hypothesis of modularity in the evolution of yeast protein interaction network as systems evolution.
PMCID: PMC4403033  PMID: 25914446
23.  Computer aided identification of sodium channel blockers in the clinical treatment of epilepsy using molecular docking tools 
Bioinformation  2015;11(3):131-137.
Phenytoin (PHT) and Carbamazepine (CBZ) are excellent sodium channel blockers administered in clinical treatment of epileptic seizures. However, the narrow therapeutic range and limited pharmacokinetics of these drugs have raised serious concerns in the proper management of epilepsy. To overcome this, the present study attempts to identify a candidate molecule with superior pharmacological profile than PHT and CBZ through In silico approaches. PHT and CBZ served as query small molecules for Tanimoto based similarity search with a threshold of 95% against PubChem database. Aided by MolDock algorithm, high affinity similar compound against each query was retrieved. PHT and CBZ and their respective similar were further tested for toxicity profiles, LC 50 values and biological activity. Compounds, NSC403438 and AGN-PC-0BPCBP respectively similar to PHT and CBZ demonstrated higher affinity to sodium channel protein than their respective leads. Of particular relevance, NSC403438 demonstrated highest binding affinity bestowed with least toxicity, better LC 50 values and optimal bioactivity. NSC403438 was further mapped for its structure based pharmacophoric features. In the study, we report NSC403438 as potential sodium channel blocker as a better candidate than PHT and CBZ which can be put forth for pharmacodynamic and pharmacokinetic studies.
AEDs - Antiepileptic drugs, BLAST - Basic Local Alignment Search Tool, CBZ - Carbamazepine, GEFS+ - Generalized Epilepsy with Febrile Seizures Plus, GPCR - G Protein Coupled Receptor, Nav - Sodium channel with specific voltage conduction, PDB - Protein Data Bank, PHT - Phenytoin, PIR - Protein Information resources, SAVES - Structural Analysis and Verification Server, VGSC - Voltage-gated Sodium channels.
PMCID: PMC4403034  PMID: 25914447
Sodium channel blockers; Virtual Screening; Phenytoin; Carbamazepine; NSC403438 and AGN-PC-0BPCBP
24.  Phyto-extraction of heavy metals and biochemical changes with Brassica nigra L. grown in rayon grade paper mill effluent irrigated soil 
Bioinformation  2015;11(3):138-144.
In this study, distribution of metal accumulation and their biological changes of Indian mustard plants (Brassica nigra L.) grown in soil irrigated with different concentration of rayon grade paper effluent (RGPE, 25%, 50%, 75%, 100%, v/v) were studied. A pronounced effect was recorded at 50% (v/v) RGPE on germination of seeds, amylase activity and other growth parameters in Indian mustard plants. An increase in the chlorophyll and protein contents was also recorded at <50% (v/v) RGPE followed by a decrease at higher concentrations of RGPE (>75%). A significant increase lipid peroxidation was recorded, which was evidenced by the increased malondialdehyde (MDA) content in shoot, leaves and seeds in tested plant at all the concentrations of RGPE. This Indian mustard plants (Brassica nigra L.) are well adapted for tolerance of significant amount of heavy metals due to increased level of antioxidants (cysteine and ascorbic acid) in root shoot and leaves of treated plants at all concentration of RGPE. Moreover, it is also important that RGPE should be treated to bring down the metal concentration well within the prescribed limit prior to use in agricultural soil for ferti-irrigation.
PMCID: PMC4403035  PMID: 25914448
Rayon grade paper mill effluent; Indian mustard plant; Phytoremediation; Heavy metals; Lipid peroxidation; biochemical parameters
25.  Molecular characterization of full-length Tat in HIV-1 subtypes B and C 
Bioinformation  2015;11(3):151-160.
HIV-1Tat (trans-acting activator of transcription) plays essential roles in the replication through viral mRNA and genome transcription from the HIV-1 LTR promoter. However, Tat undergoes continuous amino acid substitutions. As a consequence, the virus escapes from host immunity indicating that genetic diversity of Tat protein in major HIV-1 subtypes is required to be continuously monitored. We analyzed available full-length HIV-1 sequences of subtypes B (n=493) and C (n=280) strains circulating worldwide. We observed 81% and 84% nucleotide sequence identities of HIV-1 Tat for subtypes B and C, respectively. Based on phylogenetic and mutation analyses, global diversity of subtype B was apparently higher compared to that of subtype C. Positively selected sites, such as positions Ser68 and Ser70 in both subtypes, were located in the Tat-transactivation responsive RNA (TAR) interaction domain. We also found positively selected sites in exon 2, such as positions Ser75, Pro77, Asp80, Pro81 and Ser87 for both subtypes. Our study provides useful information on the full-length HIV-1 Tat sequences in globally circulating strains.
PMCID: PMC4403036  PMID: 25914449
full-length HIV-1 Tat; Tat; molecular evolution; Tat genetic diversity; Tat genetics

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