The human genome seems to encode for not more than 30,000 to 40,000 proteins. A major challenge is to understand how posttranslational events, such as glycosylation, affect the activities and functions of these proteins in health and disease. The importance of protein glycosylation is becoming widely realized through studies on protein folding, protein localization and trafficking, protein solubility, biological half-life as well as studies on cell-cell interactions. The progressing Glycomics projects will dramatically accelerate the understanding of the roles of carbohydrates in cell communication and lead to novel therapeutic approaches for treatment of human disease. The MIT's magazine of innovation (January 21 2003) has identified Glycomics as one of the top ten technologies that will change the future. To support the upcoming Glycomics projects we [German Cancer Research Center (DKFZ), Heidelberg] focus our research activities on the development of bioinformatic tools and databases for glycobiology. ... [Information of the supplier]
Sequencing of the human genome has opened the way and provided the impetus for building a comprehensive picture of a mammalian cell. Significant efforts are underway in the fields of genomics and proteomics to identify all genes and proteins in a given organism. The goal is a complete map of the genes, gene products and their interaction networks in a functioning cell. The next step in establishing a comprehensive picture of a cell will be to tie the cell's metabolome into the rapidly developing genomic and proteomic maps. A cell's metabolome, however, is such an enormous and complex entity that characterizing it can only be approached in sections. This consortium is now proposing to focus on the lipid section of the metabolome by developing an integrated metabolomic system capable of characterizing the global changes in lipid metabolites ("lipidomics"). Our consortium has developed a Lipid Metabolites and Pathways Strategy, termed LIPID MAPS, that applies a global integrated approach to the study of lipidomics. ... [Information of the supplier]
The official database of Japanese Conference on the Biochemistry of Lipids (JCBL). "LIPID BANK for web" is an open, publicly free database of natural lipids including fatty acids, glycerolipids, sphingolipids, steroids, and various vitamins. The database contains more than 6000 unique molecular structures (ChemDraw cdx format, MDL MOL format), their lipid names (common name, IUPAC), spectral information (mass, UV, IR, NMR and others), and most importantly, literature information. The database lists natural lipids only, and all molecular information is manually curated and approved by experts in lipid research. ... [Information of the supplier]
This site lists all substances and their properties which are reported on in the indexed Landolt-Börnstein volumes. In total, 160 000 organic and inorganic compounds are described by names, molecular structures, chemical abstract numbers and other identifiers. Properties are directly linked to the full documents at Springerlink. Landolt-Börnstein citations are given as "Vol. LB-Group/Volume Chapter: number [, page]: document title" and have a hyperlink to the full-text of the document containing the substance. The short identifier of the LB volume leads to a complete denotation of the reference with a direct link to the respective volume. For several compounds crosslinks to some derivatives are provided, e.g. isotope-marked compounds, hydrates and hydrochlorides. For benzenamine (aniline) for example there is a direct link to the related compounds benzenamine-d7 and aniline hydrochloride/hydrobromide/hydroiodide. Additionally, EINECS numbers (European Inventory of Existing Commercial Chemical Substances) are provided if available. Compounds are linked to NIMS (National Institute for Materials Science) data where disposable. ... [Information of the supplier]
MassBank is the first public repository of mass spectral data for sharing them among scientific research community. MassBank data are useful for the chemical identification and structure elucidation of chemical compounds detected by mass spectrometry. This website counts with the following features: a) distributed database, b) high precision and accurate mass spectra of primary metabolites and secondary metabolites, c) mass spectral search by exact m/z and browsing interface and d) search for merged spectra. A merged spectrum is generated from spectra of the identical compound measured in different CID conditions. The MassBank Record for each merged spectrum includes information of its original spectra. ... [Information of the supplier, modified]
Humans perceive numerous compounds as bitter. The bitterness of a compound often provides a hint to its potential toxicity, and aversion from bitterness helps refrain from consuming poisons. Well known example is strychnine. Some other bitter compounds, such as caffeine, while toxic in high dosages, are palatable and is consumed in large quantities. The amount of bitter compounds is estimated in thousands. But what are these compounds? How similar or different are their chemical properties? Do they act on the same or on different receptors? Is it possible to predict bitterness of a molecule? To enable investigation into these intriguing questions, we established BitterDB, a free and searchable database of bitter compounds. BitterDB currently holds over 550 bitter compounds obtained from the literature and from Merck index and their associated 25 human bitter taste receptors (hT2Rs). BitterDB provides several ways to investigate the bitter world: search for bitter compounds by different criteria, search for bitter molecules with structure similar to a query compound, blast bitter receptors and more. ... [Information of the supplier]
The goals of this project are to provide a central repository for public maize information and present it in a way that creates intuitive biological connections for the researcher with minimal effort as well as provide a series of computational tools that directly address the questions of the biologist in an easy-to-use form. (...) The data in MaizeGDB is broken down into a number of interconnected data types (BACs, ESTs, Gene products, loci, ...)." ... [Information of the supplier, modified]
The Oryzabase is a comprehensive rice science database established in 2000 by rice researcher's committee in Japan. The database is originally aimed to gather as much knowledge as possible ranging from classical rice genetics to recent genomics and from fundamental information to hot topics. The Oryzabase consists of five parts, (1) genetic resource stock information, (2) gene dictionary, (3) chromosome maps, (4) mutant images, and (5) fundamental knowledge of rice science. We are planning to do more extensive cross-referencing of Oryzabase to the major DNA sequence database, literature database and other plant databases in order to provide the wealth of information to rice researchers. We are calling for additional mutants and mapped gene information to incorporate into the Oryzabase. Newly identified mutants and mapped trait genes published in the scientific journals will be welcome to integrate into the Oryzabase maps. ... [Information of the supplier]
PHYTOPROT is a database of clusters of plant proteins. All the protein sequences from plants (including Arabidopsis thaliana) available from SwissProt/ TrEMBL have been the subject of an all-by-all systematic comparison and grouped into clusters of related proteins. Within each cluster, the sequences have been submitted to pyramidal classification; in the case where two or several subfamilies have been grouped together, the pyramidal tree helps in finding which sequences make the links between subfamilies. In addition, the `domains' that are common to two or more sequences within a cluster were determined and displayed à la ProDom. The resulting graphical representations proved to be quite efficient in pinpointing those protein sequences suffering from a probable error in the annotation of their genes. The clusters can be searched through various criteria and their pyramidal classifications and their domain representations can be displayed. The user can also launch a BLAST search of a query sequence against all the clusters. ... [Information of the supplier]