Glaucoma database

Glaucoma, a complex heterogenous disease, is the leading cause for optic nerve-related blindness worldwide. Primary open angle glaucoma (POAG) is the most common subset and by the year 2020 it is estimated that approximately 60 million people will be affected. MYOC, OPTN, CYP1B1 and WDR36 are the important candidate genes. Nearly 4% of the glaucoma patients have mutation in any one of these genes. Mutation in any of these genes causes disease either directly or indirectly and the severity of the disease varies according to position of the genes. We have compiled all the related mutations and SNPs in the above genes and developed a database, to help access statistical and clinical information of particular mutation. This database is available online at http:bicmku.in:8081/glaucoma The database, constructed using SQL, contains data pertaining to the SNPs and mutation information involved in the above genes and relevant study data. AVAILABILITY: The database is available for free at http:bicmku.in:8081/glaucoma.     

Cation-aromatic database

Cation-aromatic database (CAD) is a publicly available web-based database that aims to provide further understanding of interaction between a cation and the pi interactions. A tool to identify the interactions in a user-given protein is also added to the database. CAD is freely accessible via the Internet at http://203.199.182.73/gnsmmg/databases/cad/.     

Mycobacteriophage genome database

Mycobacteriophage genome database (MGDB) is an exclusive repository of the 64 completely sequenced mycobacteriophages with annotated information. It is a comprehensive compilation of the various gene parameters captured from several databases pooled together to empower mycobacteriophage researchers. The MGDB (Version No.1.0) comprises of 6086 genes from 64 mycobacteriophages classified into 72 families based on ACLAME database. Manual curation was aided by information available from public databases which was enriched further by analysis. Its web interface allows browsing as well as querying the classification. The main objective is to collect and organize the complexity inherent to mycobacteriophage protein classification in a rational way. The other objective is to browse the existing and new genomes and describe their functional annotation. AVAILABILITY: The database is available for free at http://mpgdb.ibioinformatics.org/mpgdb.php.     

The apoptosis database

The apoptosis database is a public resource for researchers and students interested in the molecular biology of apoptosis. The resource provides functional annotation, literature references, diagrams/images, and alternative nomenclatures on a set of proteins having 'apoptotic domains'. These are the distinctive domains that are often, if not exclusively, found in proteins involved in apoptosis. The initial choice of proteins to be included is defined by apoptosis experts and bioinformatics tools. Users can browse through the web accessible lists of domains, proteins containing these domains and their associated homologs. The database can also be searched by sequence homology using basic local alignment search tool, text word matches of the annotation, and identifiers for specific records. The resource is available at http://www.apoptosis-db.org and is updated on a regular basis.     

Pathways database system

During the next phase of the Human Genome Project, research will focus on functional studies of attributing functions to genes, their regulatory elements, and other DNA sequences. To facilitate the use of genomic information in such studies, a new modeling perspective is needed to examine and study genome sequences in the context of many kinds of biological information. Pathways are the logical format for modeling and presenting such information in a manner that is familiar to biological researchers. In this paper, we introduce an integrated system, called "Pathways Database System," with a set of software tools for modeling, storing, analyzing, visualizing, and querying biological pathways data at different levels of genetic, molecular, biochemical and organismal detail.     

Aminoacyl-tRNA synthetases database

Aminoacyl-tRNA synthetases (AARSs) are at the center of the question of the origin of life. They constitute a family of enzymes integrating the two levels of cellular organization: nucleic acids and proteins. AARSs arose early in evolution and are believed to be a group of ancient proteins. They are responsible for attaching amino acid residues to their cognate tRNA molecules, which is the first step in the protein synthesis. The role they play in a living cell is essential for the precise deciphering of the genetic code. The analysis of AARSs evolutionary history was not possible for a long time due to a lack of a sufficiently large number of their amino acid sequences. The emerging picture of synthetases' evolution is a result of recent achievements in genomics [Woese,C., Olsen,G.J., Ibba,M. and S?ll,D. (2000) Microbiol. Mol. Biol. Rev., 64, 202-236]. In this paper we present a short introduction to the AARSs database. The updated database contains 1047 AARS primary structures from archaebacteria, eubacteria, mitochondria, chloroplasts and eukaryotic cells. It is the compilation of amino acid sequences of all AARSs known to date, which are available as separate entries via the WWW at http://biobases.ibch.poznan.pl/aars/.     

Plant snoRNA database

The Plant snoRNA database (http://www.scri.sari.ac.uk/plant_snoRNA/) provides information on small nucleolar RNAs from Arabidopsis and eighteen other plant species. Information includes sequences, expression data, methylation and pseudouridylation target modification sites, initial gene organization (polycistronic, single gene and intronic) and the number of gene variants. The Arabidopsis information is divided into box C/D and box H/ACA snoRNAs, and within each of these groups, by target sites in rRNA, snRNA or unknown. Alignments of orthologous genes and gene variants from different plant species are available for many snoRNA genes. Plant snoRNA genes have been given a standard nomenclature, designed wherever possible, to provide a consistent identity with yeast and human orthologues.     

The EMOTIF database

The EMOTIF database is a collection of more than 170 000 highly specific and sensitive protein sequence motifs representing conserved biochemical properties and biological functions. These protein motifs are derived from 7697 sequence alignments in the BLOCKS+ database (released on June 23, 2000) and all 8244 protein sequence alignments in the PRINTS database (version 27.0) using the emotif-maker algorithm developed by Nevill-Manning et al. (Nevill-Manning,C.G., Wu,T.D. and Brutlag,D.L. (1998) Proc. Natl Acad. Sci. USA, 95, 5865-5871; Nevill-Manning,C.G., Sethi,K.S., Wu,T. D. and Brutlag,D.L. (1997) ISMB-97, 5, 202-209). Since the amino acids and the groups of amino acids in these sequence motifs represent critical positions conserved in evolution, search algorithms employing the EMOTIF patterns can identify and classify more widely divergent sequences than methods based on global sequence similarity. The emotif protein pattern database is available at http://motif.stanford.edu/emotif/.     

ProClass protein family database

ProClass is a protein family database that organizes non-redundant sequence entries into families defined collectively by PIR superfamilies and PROSITE patterns. By combining global similarities and functional motifs into a single classification scheme, ProClass helps to reveal domain and family relationships and classify multi-domain proteins. The database currently consists of >155 000 sequence entries retrieved from both PIR-International and SWISS-PROT databases. Approximately 92 000 or 60% of the ProClass entries are classified into approximately 6000 families, including a large number of new members detected by our GeneFIND family identification system. The ProClass motif collection contains approximately 72 000 motif sequences and >1300 multiple alignments for all PROSITE patterns, including >21 000 matches not listed in PROSITE and mostly detected from unique PIR sequences. To maximize family information retrieval, the database provides links to various protein family, domain, alignment and structural class databases. With its high classification rate and comprehensive family relationships, ProClass can be used to support full-scale genomic annotation. The database, now being implemented in an object-relational database management system, is available for online sequence search and record retrieval from our WWW server at http://pir.georgetown.edu/gfserver/proclass.html     

小鼠肝脏蛋白质组数据门户

肝脏是哺乳动物体内的代谢中枢,系统性研究肝脏蛋白质组在不同的生理和病理状态下的表达情况有助于我们理解肝脏的功能机理。随着高精度质谱技术的不断发展,众多小鼠肝脏生理病理研究产生了大量蛋白质组学数据。文中系统性整理了834例小鼠肝脏的蛋白质组学实验,建立了小鼠肝脏蛋白质组数据门户(Mouse Liver Portal,http://mouseliver.com),该门户中包含了肝脏在不同生理和病理状态下的蛋白质组学数据,如不同性别、年龄、昼夜节律、细胞类型和不同时间阶段的部分肝切除、非酒精性脂肪肝等状态。该门户能够提供肝脏在不同状态下蛋白的表达变化情况、差异显著的蛋白质和它们参与的生物学过程以及潜在的信号转导和调控网络。作为目前最全面的小鼠肝脏蛋白质组数据门户,该数据库能够给肝脏生物学研究提供重要的资源和参考。     

The rice kinase database. A phylogenomic database for the rice kinome

The rice (Oryza sativa) genome contains 1,429 protein kinases, the vast majority of which have unknown functions. We created a phylogenomic database (http://rkd.ucdavis.edu) to facilitate functional analysis of this large gene family. Sequence and genomic data, including gene expression data and protein-protein interaction maps, can be displayed for each selected kinase in the context of a phylogenetic tree allowing for comparative analysis both within and between large kinase subfamilies. Interaction maps are easily accessed through links and displayed using Cytoscape, an open source software platform. Chromosomal distribution of all rice kinases can also be explored via an interactive interface.     

Life cycle assessment through on-line database linked with various enterprise database systems

Goal, Scope and Background  Performing a life cycle assessment (LCA) has been a rather resource and time-consuming business. The method of data collection may be problematic, and the quality of the final results can be influenced by the reliability of the data. Therefore, it is helpful to utilize an on-line data gathering system to save time and to improve the reliability of the collected raw data. Main Features  We have developed an LCA software package for a steel company. The software consists of two major parts: an LCA tool kit and an interface program. The LCA tool kit is a user interface for handling an LCA database server. It has powerful functions to execute systematic analysis, not only for the amount of energy and raw materials, but also for the volume of pollutants generated by each component. The latter is an interface program between a data handling system and an on-line data gathering system. This interface program is linked with three enterprise database systems, such as enterprise resource planning (ERP), an environmental management system (EMS) and an energy server system (ESS). In this study, we compared three different ways of performing LCA. Two of them are on-line methods, and another is manual. Results and Discussion  Among the three methods, the best method was on-line LCA linked with ERP, EMS and ESS. Case studies in steel works have shown that the current method is superior to manual data gathering in terms of time and cost (man-month) savings, data reliability and other applications. Results of life cycle inventory and life cycle impact assessment for steel products have shown monthly fluctuations due to fuel usage ratio, which have not been detected before using manual data gathering. Conclusions  An LCA can be performed quickly, if one is to employ the on-line data gathering system we have developed. The system consists of an LCA software package including the interface program and LCA tool kit, and the enterprise database systems. Case studies for LCA with the on-line system have shown superior performance to that carried out using the manual data entry method. Recommendations and Perspective  This system enables an enterprise to take Type III and conduct benchmarking to other companies or societies within a short time. Also, combining this tool with an environmental performance evaluation or accounting system can allow one to achieve a more progressive environmental management.