The ASTRAL compendium for protein structure and sequence analysis.
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The ASTRAL compendium provides several databases and tools to aid in the analysis of protein structures, particularly through the use of their sequences. The SPACI scores included in the system summarize the overall characteristics of a protein structure. A structural alignments database indicates residue equivalencies in superimposed protein domain structures. The PDB sequence-map files provide a linkage between the amino acid sequence of the molecule studied (SEQRES records in a database entry) and the sequence of the atoms experimentally observed in the structure (ATOM records). These maps are combined with information in the SCOPdatabase to provide sequences of protein domains. Selected subsets of the domain database, with varying degrees of similarity measured in several different ways, are also available. ASTRALmay be accessed at http://astral.stanford.edu/ (+info)
The SBASE protein domain library, release 7.0: a collection of annotated protein sequence segments.
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SBASE 7.0 is the seventh release of the SBASE protein domain library sequences that contains 237 937 annotated structural, functional, ligand-binding and topogenic segments of proteins, cross-referenced to all major sequence databases and sequence pattern collections. The entries are clustered into over 1811 groups and are provided with two WWW-based search facilities for on-line use. SBASE 7.0 is freely available by anonymous 'ftp' file transfer from ftp.icgeb. trieste.it. Automated searching of SBASE with BLAST can be carried out with the WWW servers http://www.icgeb.trieste.it/sbase/and http://sbase.abc.hu/sbase/ (+info)
The SYSTERS protein sequence cluster set.
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The SYSTERS (short for SYSTEmatic Re-Searching) protein sequence cluster set consists of the classification of all sequences from SWISS-PROT and PIR into disjoint protein family clusters and hierarchically into superfamily and subfamily clusters. The cluster set can be searched with a sequence using the SSMAL search tool or a traditional database search tool like BLAST or FASTA. Additionally a multiple alignment is generated for each cluster and annotated with domain information from the Pfam database of protein domain families. A taxonomic overview of the organisms covered by a cluster is given based on the NCBI taxonomy. The cluster set is available for querying and browsing at http://www.dkfz-heidelberg. de/tbi/services/cluster/systersform (+info)
The eukaryotic promoter database (EPD).
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The Eukaryotic Promoter Database (EPD) is an annotated non-redundant collection of eukaryotic POL II promoters for which the transcription start site has been determined experimentally. Access to promoter sequences is provided by pointers to positions in nucleotide sequence entries. The annotation part of an entry includes a description of the initiation site mapping data, exhaustive cross-references to the EMBL nucleotide sequence database, SWISS-PROT, TRANSFAC and other databases, as well as bibliographic references. EPD is structured in a way that facilitates dynamic extraction of biologically meaningful promoter subsets for comparative sequence analysis. WWW-based interfaces have been developed that enable the user to view EPD entries in different formats, to select and extract promoter sequences according to a variety of criteria, and to navigate to related databases exploiting different cross-references. The EPD web site also features yearly updated base frequency matrices for major eukaryotic promoter elements. EPD can be accessed at http://www.epd.isb-sib.ch (+info)
COMPEL: a database on composite regulatory elements providing combinatorial transcriptional regulation.
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COMPEL is a database on composite regulatory elements, the basic structures of combinatorial regulation. Composite regulatory elements contain two closely situated binding sites for distinct transcription factors and represent minimal functional units providing combinatorial transcriptional regulation. Both specific factor-DNA and factor-factor interactions contribute to the function of composite elements (CEs). Information about the structure of known CEs and specific gene regulation achieved through such CEs appears to be extremely useful for promoter prediction, for gene function prediction and for applied gene engineering as well. The structure of the relational model of COMPEL is determined by the concept of molecular structure and regulatory role of CEs. Based on the set of a particular CE, a program has been developed for searching potential CEs in gene regulatory regions. WWW search and browse routines were developed for COMPEL release 3.0. The COMPEL database equipped with the search and browse tools is available at http://compel.bionet.nsc.ru/. The program for prediction of potential CEs of NFAT type is available at http://compel.bionet.nsc. ru/FunSite.html and http://transfac.gbf.de/dbsearch/funsitep/ s_comp.html (+info)
TRANSFAC: an integrated system for gene expression regulation.
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TRANSFAC is a database on transcription factors, their genomic binding sites and DNA-binding profiles (http://transfac.gbf.de/TRANSFAC/). Its content has been enhanced, in particular by information about training sequences used for the construction of nucleotide matrices as well as by data on plant sites and factors. Moreover, TRANSFAC has been extended by two new modules: PathoDB provides data on pathologically relevant mutations in regulatory regions and transcription factor genes, whereas S/MARt DB compiles features of scaffold/matrix attached regions (S/MARs) and the proteins binding to them. Additionally, the databases TRANSPATH, about signal transduction, and CYTOMER, about organs and cell types, have been extended and are increasingly integrated with the TRANSFAC data sources. (+info)
Keio Mutation Database (KMDB) for human disease gene mutations.
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A database of mutations in human disease-causing genes has been constructed and named as Keio Mutation Database (KMDB). This KMDB utilizes a database software called MutationView which was designed to compile various mutation data and to provide graphical presentation of data analysis. Currently, the KMDB accommodates mutation data of 38 different genes for 35 different diseases which are involved in eye, heart, ear and brain. These KMDBs are accessible through http://mutview.dmb.med.keio.ac.jp with advanced internet browsers. (+info)
Developing a managed care delivery system in New York State for Medicaid recipients with HIV.
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In the state of New York, models of care known as HIV Special Needs Plans (HIV SNPs) are being developed to meet the unique health and medical needs of Medicaid recipients with HIV. Establishing managed care plans for the 80,000 to 100,000 HIV-infected Medicaid recipients residing in the state has required considerable effort, including distributing planning grants to solicit information and recommendations regarding program and fiscal policy; convening a workgroup to facilitate discussions between the state and the provider and consumer communities; conducting a longitudinal survey to assess the impact of managed care on persons with HIV; and developing a longitudinal, person-based, encounter-level database representing the clinical and service utilization histories of more than 100,000 patients for state fiscal years 1990 to 1996. The key fiscal issues identified and discussed were capitation rates, initial capitalization levels, and risk-adjustment mechanisms. Other pertinent issues included the importance of a benefits package supporting a comprehensive, integrated continuum of state-of-the-art services; marketing and enrollment; attention to provider and consumer training and education needs; and interdependence of financial reimbursement and benefits packages. From our experience in New York State, we conclude that a successful model of Medicaid managed care for persons with HIV should build on the existing infrastructure of services, using a collaborative process among government agencies, healthcare providers, and HIV/AIDS consumer communities. A future challenge lies in the implementation of the HIV SNP model and evaluation of its soundness and ability to ensure quality healthcare services. (+info)