Links tagged with 'saccharomyces cerevisiae proteins'

Found 15 links

Displaying 15 links

BiologicalNetworksTool Content

http://brak.sdsc.edu/pub/BiologicalNetworks/

BiologicalNetworks allows retrieval, construction, and visualization of biological networks and allows for the analysis of high-throughput expression data by mapping onto network graphs. BiologicalNetworks queries the PathSys system, a combined database of biological pathways, gene regulatory networks, and protein interaction maps.

MitoGenesisDBDatabase Content

http://www.dsimb.inserm.fr/dsimb_tools/mitgene/

MitoGenesisDB focuses on the dynamic of mitochondrial protein formation through global mRNA analyses. Three main parameters confer a global view of mitochondrial biogenesis: (i) time-course of mRNA production in highly synchronized yeast cell cultures, (ii) microarray analyses of mRNA localization that define translation sites and (iii) mRNA transcription rate and stability which characterize genes that are more dependent on post-transcriptional regulation processes. MitoGenesisDB integrates and establishes cross-comparisons between these data. Several model organisms can be analyzed via orthologous relationships between interspecies genes.

MYBSTool Content

http://cg1.iis.sinica.edu.tw/~mybs/index.php

MYBS (Mining Yeast Binding Sites) is a tool for mapping Transcription factors (TFs) and their binding sites (TFBSs) that integrates both experimentally verified (ChIP-chip data) and predicted position weight matrixes (PWMs) from several databases.

REPAIRtoireDatabase Content

http://repairtoire.genesilico.pl/

REPAIRtoire is a database resource for systems biology of DNA damage and repair. The database collects and organizes the following types of information: (i) DNA damage linked to environmental mutagenic and cytotoxic agents, (ii) pathways comprising individual processes and enzymatic reactions involved in the removal of damage, (iii) proteins participating in DNA repair and (iv) diseases correlated with mutations in genes encoding DNA repair proteins. REPAIRtoire also provides links to publications and external databases. REPAIRtoire contains information about eight main DNA damage checkpoint, repair and tolerance pathways: DNA damage signaling, direct reversal repair, base excision repair, nucleotide excision repair, mismatch repair, homologous recombination repair, nonhomologous end-joining and translesion synthesis. The pathway/protein dataset is currently limited to three model organisms: Escherichia coli, Saccharomyces cerevisiae and Homo sapiens. The DNA repair and tolerance pathways are represented as graphs and in tabular form with descriptions of each repair step and corresponding proteins, and individual entries are cross-referenced to supporting literature and primary databases. REPAIRtoire can be queried by the name of pathway, protein, enzymatic complex, damage and disease.

This content is being maintained by iamb@genesilico.pl.

The GRID - General Repository for Interaction DatasetsDatabase Content

http://www.thebiogrid.org/

Database of genetic and physical interactions; contains interaction data from several genome/proteome wide-studies, the MIPS database, and BIND; provides a powerful visualization system for looking at interactions graphically.

YEASTRACTDatabase Content

http://www.yeastract.com

The YEAst Search for Transcriptional Regulators And Consensus Tracking (YEASTRACT) is a curated repository of regulatory associations between transcription factors (TF) and target genes in Saccharomyces cerevisiae. YEASTRACT includes DISCOVERER, a set of tools that can be used to identify complex motifs found to be over-represented in the promoter regions of co-regulated genes. EASTRACT allows the identification of documented or potential transcription regulators of a given gene and of documented or potential regulons for each transcription factor. It also renders possible the comparison between DNA motifs and the transcription factor binding sites described in the literature. YEASTRACT provides a set of queries to search and retrieve important biological information from the gathered data and to predict transcription regulation networks in yeast from data emerging from gene-by-gene analysis or global approaches.