BackgroundThe increasing availability and diversity of omics data in the post-genomic era offers new perspectives in most areas of biomedical research. Graph-based biological networks models capture the topology of the functional relationships between molecular entities such as gene, protein and small compounds and provide a suitable framework for integrating and analyzing omics-data. The development of software tools capable of integrating data from different sources and to provide flexible methods to reconstruct, represent and analyze topological networks is an active field of research in bioinformatics.ResultsBisoGenet is a multi-tier application for visualization and analysis of biomolecular relationships. The system consists of three tiers. In the data tier, an in-house database stores genomics information, protein-protein interactions, protein-DNA interactions, gene ontology and metabolic pathways. In the middle tier, a global network is created at server startup, representing the whole data on bioentities and their relationships retrieved from the database. The client tier is a Cytoscape plugin, which manages user input, communication with the Web Service, visualization and analysis of the resulting network.ConclusionBisoGenet is able to build and visualize biological networks in a fast and user-friendly manner. A feature of Bisogenet is the possibility to include coding relations to distinguish between genes and their products. This feature could be instrumental to achieve a finer grain representation of the bioentities and their relationships. The client application includes network analysis tools and interactive network expansion capabilities. In addition, an option is provided to allow other networks to be converted to BisoGenet. This feature facilitates the integration of our software with other tools available in the Cytoscape platform. BisoGenet is available at http://bio.cigb.edu.cu/bisogenet-cytoscape/.

Mass spectrometry is now firmly established as a powerful technique for the identification and characterization of proteins when used in conjunction with sequence databases. Various approaches involving stable-isotope labeling have been developed for quantitative comparisons between paired samples in proteomic expression analysis by mass spectrometry. However, interpretation of such mass spectra is far from being fully automated, mainly due to the difficulty of analyzing complex patterns resulting from the overlap of multiple peaks arising from the assortment of natural isotopes. In order to facilitate the interpretation of a complex mass spectrum of such a mixture, such as an MS spectrum of a stable-isotope-enriched ion species, we report on the development of a software application, 'Matching' (web accessible), that enables the automatic matching of theoretical isotope envelopes to multiple ion peaks in a raw spectrum. It is particularly useful for resolving the relative abundances of narrow-split paired peaks caused by enrichment with a stable isotope, such as 18O, 13C, 2H, or 15N.

The web application Isotopica has been developed as an aid to the interpretation of ions that contain naturally occurring isotopes in a mass spectrum. It allows the calculation of mass values and isotopic distributions based on molecular formulas, peptides/proteins, DNA/RNA, carbohydrate sequences or combinations thereof. In addition, Isotopica takes modifications of the input molecule into consideration using a simple and flexible language as a straightforward extension of the molecular formula syntax. This function is especially useful for biomolecules, which are often subjected to additional modifications other than normal constituents, such as the frequently occurring post-translational modification in proteins. The isotopic distribution of any molecule thus defined can be calculated by considering full widths at half maximum or mass resolution. The combined envelope of several overlapping isotopic distributions of a mixture of molecules can be determined after specifying each molecule's relative abundance. The results can be displayed graphically on a local PC using the Isotopica viewer, a standalone application that is downloadable from the sites below, as a complement to the client browser. The m/z and intensity values can also be obtained in the form of a plain ASCII text file. The software has proved to be useful for peptide mass fingerprinting and validating an observed isotopic ion distribution with reference to the theoretical one, even from a multi-component sample. The web server can be accessed at http://bioinformatica.cigb.edu.cu/isotopica and http://coco.protein.osaka-u.ac.jp/isotopica [correction].

Here we demonstrate the usefulness of peptide fractionation by SDS-free polyacrylamide gel electrophoresis and its applicability to proteomics studies. In the absence of SDS, the driving force for the electrophoretic migration toward the anode is supplied by negatively charged acidic amino acid residues and other residues as phosphate, sulfate and sialic acid, while the resulting mobility depends on both the charge and the molecular mass of the peptides. A straightforward method was achieved for SDS-PAGE of proteins, enzyme digestion, peptide transfer and fractionation by SDS-free PAGE, which was named dual-fractionation polyacrylamide gel electrophoresis (DF-PAGE). This method increases the number of identified proteins 2.5-fold with respect to the proteins identified after direct analysis, and more than 80% of assigned peptides were found in unique SDS-free gel slices. A vast majority of identified peptides (93%) have p I values below 7.0, and 7% have p I values between 7.0 and 7.35. Peptide digests that were derived from complex protein mixtures were in consequence simplified as peptides that are positively charged are not recovered in the present conditions. The analysis of a membrane protein extract from Neisseria meningitidis by this approach allowed the identification of 97 proteins, including low-abundance components.

We derive a new efficient algorithm for the computation of the isotopic peak center-mass distribution of a molecule. With the use of Fourier transform techniques, the algorithm accurately computes the total abundance and average mass of all the isotopic species with the same number of nucleons. We evaluate the performance of the method with 10 benchmark proteins and other molecules; results are compared with BRAIN, a recently reported polynomial method. The new algorithm is comparable to BRAIN in accuracy and superior in terms of speed and memory, particularly for large molecules. An implementation of the algorithm is available for download.

SeqMS, a software aid for de novo sequencing by tandem mass spectrometry (MS/MS), which was initially developed for the automated interpretation of high-energy collision-induced dissociation (CID) MS/MS spectra of peptides, has been applied to the interpretation of low-energy CID and post-source decay (PSD) spectra of peptides. Based on peptide backbone fragmented ions and their related ions, which are the dominant ions observed in the latter two techniques, the types of ions and their propensities to be observed have been optimized for efficient interpretation of the spectra. In a typical example, the modified SeqMS allowed the complete sequencing of a 31-amino acid synthetic peptide, except for the isobaric amino acids (Leu or Ile, and Lys or Gln), based on only the low-energy CID-MS/MS spectrum.

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SeqMS, a software program designed for the automated interpretation of high-energy collision-induced dissociation (CID) mass spectra of singly protonated peptides ionized by fast atom bombardment, has been developed. The software is capable of probing the sequence of an unknown peptide, and even of certain modified peptides. The program, compiled for WINDOWS95 or NT, also permits the retrieval of raw data and the reconstruction of the spectra on a user-friendly graphical interface with the aid of several tools for processing the spectra, which include setting multiple threshold levels and automatic peak detection. SeqMS is capable of generating candidate sequences, based on the detected peaks, and of displaying the resulting assignments for each candidate in a spectrum or in tabular form. The software has the following capabilities: 1) the ions derived from backbone and side-chain fragmentations, internal and immonium ions, and side-chain loss ions can be used for calculation; 2) 18O-labeling of a peptide at the C terminus, a methodology which was developed to differentiate N-terminal from C-terminal ions, is applicable as an optional setting; 3) modified amino acids and N- or C-terminal blocking groups are taken into account for calculation according to the user's setting in a library; 4) amino acid composition and partial or complete amino acid sequence of a peptide can be used as input for calculation; 5) the assignments of signal output in a spectrum can be graphically edited, and then re-calculated based on the edited peaks. The efficacy of the program is demonstrated by testing 74 high-energy CID spectra, obtained using a four-sector instrument, of synthetic, proteolytic, and biologically active peptides, some of which contain modified groups.