e-LiSe--an online tool for finding needles in the '(Medline) haystack'

Summary: Using literature databases one can find not only knownand true relations between processes but also less studied,non-obvious associations. The main problem with discoveringsuch type of relevant biological information is ‘selection’.The ability to distinguish between a true correlation (e.g.between different types of biological processes) and randomchance that this correlation is statistically significant iscrucial for any bio-medical research, literature mining beingno exception. This problem is especially visible when searchingfor information which has not been studied and described inmany publications. Therefore, a novel bio-linguistic statisticalmethod is required, capable of ‘selecting’ truecorrelations, even when they are low-frequency associations.In this article, we present such statistical approach basedon Z-score and implemented in a web-based application ‘e-LiSe’. Availability: The software is available at http://miron.ibb.waw.pl/elise/ Contact: piotr{at}ibb.waw.pl Supplementary information: Supplementary materials are availableat http://miron.ibb.waw.pl/elise/supplementary/ Associate Editor: Alfonso Valencia     

The UAB Proteomics Database

SUMMARY: The University of Alabama at Birmingham (UAB) Proteomics Database (UPD) (http://www.uab.edu/proteinmenu) was created to provide a repository for the storage and linkage of two-dimensional (2D) gel images and the associated information obtained through mass spectrometry analysis of the proteins excised from the 2D gels in a manner similar to the SWISS-2DPAGE database and the Stanford Microarray Database. This was accomplished through the development of a web interface, a relational database, image maps and hyperlinks stored in the database. In addition to the internally generated data, UPD provides links to the National Center for Biotechnology Information via accession number hyperlinks. UPD currently contains information on 44 individual proteins derived from four experiments conducted by four UAB faculty members. Images of the gels from which each of these proteins was isolated are accessed by hyperlinks embedded in the database. AVAILABILITY: The UAB Proteomics Database can be accessed at http://www.uab.edu/proteinmenu.     

TranScout: prediction of gene expression regulatory proteins from their sequences

MOTIVATION: The advent of genomics yields thousands of reading frames in search of function. Identification of conserved functional motifs in protein sequences can be helpful for function prediction. RESULTS: A database and a classification of reported DNA-binding protein motifs has been designed. A program ('TranScout') has been developed for the detection and evaluation of conserved motifs in prokaryotic and eukaryotic sequences of proteins with a gene regulatory function. The efficiency of the program is shown in a benchmark against a database obtained from SWISS-PROT without the protein sequences used to train the program. All motifs were detected with a mean average sensitivity of 0.98 and a mean average specificity of 0.92. AVAILABILITY: The program is freely available for use on the internet at http://luz.uab.es/transcout/. The user can find additional information at this site.     

Prophet, a web-based tool for class prediction using microarray data

Sample classification and class prediction is the aim of many gene expression studies. We present a web-based application, Prophet, which builds prediction rules and allows using them for further sample classification. Prophet automatically chooses the best classifier, along with the optimal selection of genes, using a strategy that renders unbiased cross-validated errors. Prophet is linked to different microarray data analysis modules, and includes a unique feature: the possibility of performing the functional interpretation of the molecular signature found. Availability: Prophet can be found at the URL http://prophet.bioinfo.cipf.es/ or within the GEPAS package at http://www.gepas.org/ Supplementary information: http://gepas.bioinfo.cipf.es/tutorial/prophet.html.     

MASISH: a database for gene expression in maize seeds

Grass seeds are complex organs composed by multiple tissues and cell types that develop coordinately to produce a viable embryo. The identification of genes involved in seed development is of great interest, but systematic spatial analyses of gene expression on maize seeds at the cell level have not yet been performed. MASISH is an online database holding information for gene expression spatial patterns in maize seeds based on in situ hybridization experiments. The web-based query interface allows the execution of gene queries and provides hybridization images, published references and information of the analyzed genes. AVAILABILITY: http://masish.uab.cat/.     

MOFOID--not only the protein modeling server

MOFOID is a new server developed mainly for automated modeling of protein structures by their homology to the structures deposited in the PDB database. Selection of a template and calculation of the alignment is performed with the Smith-Waterman or Needleman-Wunsch algorithms implemented in the EMBOSS package. The final model is built and optimised with programs from the JACKAL package. The wide spectrum of options in the web-based interface and the possibility of uploading user's own alignment make MOFOID a suitable platform for testing new approaches in the alignment building. The server is available at https:// valis.ibb.waw.pl/mofoid/.     

Drosophila polymorphism database (DPDB): a portal for nucleotide polymorphism in Drosophila

As a growing number of haplotypic sequences from resequencing studies are now accumulating for Drosophila in the main primary sequence databases, collectively they can now be used to describe the general pattern of nucleotide variation across species and genes of this genus. The Drosophila Polymorphism Database (DPDB) is a secondary database that provides a collection of all well-annotated polymorphic sequences in Drosophila together with their associated diversity measures and options for reanalysis of the data that greatly facilitate both multi-locus and multi-species diversity studies in one of the most important groups of model organisms. Here we describe the state-of-the-art of the DPDB database and provide a step-by-step guide to all its searching and analytic capabilities. Finally, we illustrate its usefulness through selected examples. DPDB is freely available at http://dpdb.uab.cat.     

Quantitative proteomic analysis of venom from Southern India common krait (Bungarus caeruleus) and identification of poorly immunogenic toxins by immune-profiling against commercial antivenom

Objectives: To study the venom proteome composition of Southern India (SI) Common Krait (Bungarus caeruleus) and immunological cross-reactivity between venom against commercial antivenom.

Methods: Proteomic analysis was done by nano LC-MS/MS and toxins were quantitated by label-free analysis. The immunological cross-reactivity of venom towards polyvalent antivenom (PAV) was assessed by ELISA, Immunoblotting, and immuno-chromatographic methods.

Results: A total of 57 enzymatic and non-enzymatic proteins belonging to 12 snake venom protein families were identified. The three finger toxins (3FTx) (48.3%) and phospholipase A₂ (PLA₂) (37.6%) represented the most abundant non-enzymatic and enzymatic proteins, respectively. β-bungarotoxin (12.9%), a presynaptic neurotoxin, was also identified. The venom proteome composition is well correlated with its enzymatic activities, reported pharmacological properties, and clinical manifestations of krait envenomation. Immuno-cross-reactivity studies demonstrated better recognition of high molecular weight proteins (>45 kDa) of this venom by PAVs compared to low molecular weight (<15 kDa) toxins such as PLA₂ and 3FTxs.

Conclusion: The poor recognition of <15 kDa mass SI B. caeruleus venom proteins is of grave concern for the successful treatment of krait envenomation. Therefore, emphasis should be given to improve the immunization protocols and/or supplement of antibodies raised specifically against the <15 kDa toxins of this venom.     

ConSSeq: a web-based application for analysis of amino acid conservation based on HSSP database and within context of structure

SUMMARY: A web-based application to analyze protein amino acids conservation-Consensus Sequence (ConSSeq) is presented. ConSSeq graphically represents information about amino acid conservation based on sequence alignments reported in homology-derived structures of proteins. Beyond the relative entropy for each position in the alignment, ConSSeq also presents the consensus sequence and information about the amino acids, which are predominant at each position of the alignment. ConSSeq is part of the STING Millennium Suite and is implemented as a Java Applet. AVAILABILITY: http://sms.cbi.cnptia.embrapa.br/SMS/STINGm/consseq/, http://trantor.bioc.columbia.edu/SMS/STINGm/consseq/, http://mirrors.rcsb.org//SMS/STINGm/consseq/, http://www.es.embnet.org/SMS/STINGm/consseq/ and http://www.ar.embnet.org/SMS/STINGm/consseq/     

orthoFind Facilitates the Discovery of Homologous and Orthologous Proteins

Finding homologous and orthologous protein sequences is often the first step in evolutionary studies, annotation projects, and experiments of functional complementation. Despite all currently available computational tools, there is a requirement for easy-to-use tools that provide functional information. Here, a new web application called orthoFind is presented, which allows a quick search for homologous and orthologous proteins given one or more query sequences, allowing a recurrent and exhaustive search against reference proteomes, and being able to include user databases. It addresses the protein multidomain problem, searching for homologs with the same domain architecture, and gives a simple functional analysis of the results to help in the annotation process. orthoFind is easy to use and has been proven to provide accurate results with different datasets. Availability: http://www.bioinfocabd.upo.es/orthofind/.     

Laccase grafted membranes for advanced water filtration systems: a green approach to water purification technology

Purpose: Conventional wastewater treatment technologies are not good enough to completely remove all endocrine disrupting compounds (EDCs) from the water. Membrane separation systems have emerged as an attractive alternative to conventional clarification processes for waste and drinking water. Coupling of a membrane separation process with an enzymatic reaction has opened up new avenues to further enhance the quality of water. This review article deliberates the feasibility of implementing enzymatic membrane reactors has been deliberated.

Materials and methods: A comprehensive study of conventional water treatment technologies was carried out and their shortcomings were pointed out. Research findings from the leading groups working on enzyme grafted membrane based water purification were summarized. This review also comprehends the patent documents pertinent to the technology of enzyme grafted membranes for water purification.

Results: Immobilization of an enzyme on a membrane improves the performance of membrane filtration, and processes for the treatment of polluted water. Research has started exploring the potential for laccase enzymes because it can catalyze the oxidation of a wide range of substrates, structurally comparable to EDCs, by a radical-catalyzed reaction mechanism, with corresponding reduction of oxygen to water in an electron transfer process. Further, in the presence of certain mediators, the substrate range of laccases can be further enhanced to non-aromatic substrates.

Conclusions: Removal of EDCs by laccase cross-linked enzyme aggregates in fixed-bed reactors or fluidized-bed reactors and laccase immobilized ultrafiltration (LIUF) membranes are proving their worth in water purification technology. The major operational issues with the use of LIUF membranes are enzyme instability in real wastewater and membrane fouling. In view of the above-stated characteristics, laccases are considered as the most promising enzyme for a greener and less expensive water purification technology.     

The Star STING server: a multiplatform environment for protein structure analysis

Star STING is the latest version of the STING suite of programs and corresponding database. We report on five important aspects of this package that have acquired some new characteristics, designed to add key advantages to the whole suite: 1) availability for most popular platforms and browsers, 2) introduction of the STING_DB quality assessment, 3) improvement in algorithms for calculation of three STING parameters, 4) introduction of five new STING modules, and 5) expansion of the existing modules. Star STING is freely accessible at: http://sms.cbi.cnptia.embrapa.br/SMS/, http://trantor.bioc.columbia.edu/SMS, http://www.es.embnet.org/SMS/, http://gibk26.bse.kyutech.ac.jp/SMS/ and http://www.ar.embnet.org/SMS.     

Drosophila Polymorphism Database (DPDB)A Portal for Nucleotide Polymorphism in Drosophila

As a growing number of haplotypic sequences from re-sequencing studies are now accumulating for Drosophila in the main primary sequence databases, collectively they can now be used to describe the general pattern of nucleotide variation across species and genes of this genus. The Drosophila Polymorphism Database (DPDB) is a secondary database that provides a collection of all well-annotated polymorphic sequences in Drosophila together with their associated diversity measures and options for re-analysis of the data that greatly facilitate both multi-locus and multi-species diversity studies in one of the most important group of model organisms. Here we describe the state-of-the-art of the DPDB database and provide a step-by-step guide to all its searching and analytic capabilities. Finally, we illustrate its usefulness through selected examples. DPDB is freely available at http://dpdb.uab.cat.     

Haplotype inference for present-absent genotype data using previously identified haplotypes and haplotype patterns

MOTIVATION: Killer immunoglobulin-like receptor (KIR) genes vary considerably in their presence or absence on a specific regional haplotype. Because presence or absence of these genes is largely detected using locus-specific genotyping technology, the distinction between homozygosity and hemizygosity is often ambiguous. The performance of methods for haplotype inference (e.g. PL-EM, PHASE) for KIR genes may be compromised due to the large portion of ambiguous data. At the same time, many haplotypes or partial haplotype patterns have been previously identified and can be incorporated to facilitate haplotype inference for unphased genotype data. To accommodate the increased ambiguity of present-absent genotyping of KIR genes, we developed a hybrid approach combining a greedy algorithm with the Expectation-Maximization (EM) method for haplotype inference based on previously identified haplotypes and haplotype patterns. RESULTS: We implemented this algorithm in a software package named HAPLO-IHP (Haplotype inference using identified haplotype patterns) and compared its performance with that of HAPLORE and PHASE on simulated KIR genotypes. We compared five measures in order to evaluate the reliability of haplotype assignments and the accuracy in estimating haplotype frequency. Our method outperformed the two existing techniques by all five measures when either 60% or 25% of previously identified haplotypes were incorporated into the analyses. AVAILABILITY: The HAPLO-IHP is available at http://www.soph.uab.edu/Statgenetics/People/KZhang/HAPLO-IHP/index.html. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.     

Enzymatic Degradation of Chlorophyll in Chenopodium album

The breakdown of chlorophyll (Chi) in crude extracts of Chenopodiumalbum (white goose foot) in the dark was examined. Derivativesof pheophorbide were formed when Chi or chlorophyllide wasincubated with depigmented crude extracts. The formation ofpheophorbide was completely prevented by heat treatment of extracts,indicating that the reaction was enzymatic, and the presenceof a Mg-releasing enzyme, the so called Mg-dechelatase, waspostulated. This hypothesis was strongly supported by the observationthat the formation of pheophorbide was inhibited by 51% by 10mM MgCl₂. Analysis by high-performance thin-layer chromatography(HPTLC) and liquid chromatography (HPLC) showed that the appearanceof chlorophyllide , pheophorbide 13²-hydroxychlorophyllide and pyropheophorbide was accompanied by a concomitant decreasein levels of Chi The formation of 13²-hydroxychloro-phyllide was not clearly an enzymatic reaction and requires furtherexamination. It appears that Chl is degraded in a crude extractof C. album via the following enzymatically catalyzed reactions (Received September 10, 1990; Accepted November 15, 1990)     

Note sur les Siphonaptères de l’Émirat de Ras Al Khaimah: description de Nosopsyllus (Gerbillophilus) jabeljaisensis n. sp. (Siphonaptera,Ceratophyllidae, Ceratophyllinae)

Vingt-deux puces collectées lors de captures de Acomys dimidiatus et Gerbillus dasyurus dans les montagnes de Ras Al Khaimah aux Émirats arabes unis ont été identifiées comme appartenant à deux espèces. Un nouveau taxon est décrit dans le genre Nosopsyllus

http://www.zoobank.org/urn:lsid:zoobank.org:pub:ACB8C547-5A7C-4D45-BBC3-2ABD705FE797     

Simulating complex traits influenced by genes with fuzzy-valued effects in pedigreed populations

MOTIVATION: Methods involving fuzzy theory have been rarely applied to genetics. We present an open platform for experimentation with fuzzy numbers as a tool to represent imprecise phenotypes in genetic modeling. RESULTS: A C++ library for simulation of genetic information transmission is introduced. The study of genetic linkage was its first goal, though a design so general as possible has been meant. Fuzzy-valued phenotypes are handled by means of fuzzy numbers. AVAILABILITY: ftp://carleos.etsiig.uniovi.es/pub/falin ftp://fisher.ciencias.uniovi.es/pub/falin ftp://bellman.ciencias.uniovi.es/pub/falin Licensed under the GNU General Public License version 2 (see http://www.gnu.org/licenses/gpl.html).