Intracellular StationsAntibodyBotany Chemistry Common Buffers Buffers Alphabetic Bookstore Cell Biology and Culture Gel Electrophoresis Histology Microarrays Immunology Mass Spectrometry Microbiology Molecular Imaging Peptide Protein Microarray Chips PCR Real-Time PCR RNAi and SiRNA Stem Cell Biology Transfection Western Blot |
User PanelMy PanelMy PanelBookmark Science Articles
|
||||
At Molecular Station Bioinformatics, you will find almost every bioinformatic tool you will need. We have over 800 bioinformatic tools for DNA bioinformatics, RNA bioinformatics, Protein Bioinformatics, and Proteomic bioinformatic tools. We also provide databses for each of these categories in order to easily find your sequence of interest from several sequence databases.
Protein Subcellular Localization
Our Bioinformatic tools database has all the bioinformatic tools you will ever need and includes online programs and tools on: DNA Bioinformatics, RNA Bioinformatics, Protein Bioinformatics, Proteomic Bioinformatics, and Molecular Model Organisms.
Gene Ontology GO
The metabotropic glutamate receptor 1, GRM1: evaluation as a candidate gene f... Related Articles
The metabotropic glutamate receptor 1, GRM1: evaluation as a candidate gene for inherited forms of cerebellar ataxia.
J Neurol. 2009 Nov 19;
Authors: Rossi PI, Vaccari CM, Terracciano A, Doria-Lamba L, Facchinetti S, Priolo M, Ayuso C, De Jorge L, Gimelli S, Santorelli FM, Ravazzolo R, Puliti A
The metabotropic glutamate (mGlu) 1 receptor, coded by the GRM1 gene, is involved in synaptic activities, learning and neuroprotection. Eleven different mouse Grm1 mutations, either induced or spontaneously occurring, have been reported, including one from our group. All the mutations result in a complex phenotype with ataxia and intention tremor in mice. Moreover, autoantibodies against mGlu1 receptor have been associated with paraneoplastic cerebellar ataxia in humans. In spite of the large clinical and genetic heterogeneity displayed by the inherited forms of cerebellar ataxia, forms remain with a yet unknown molecular definition. With the evidence coming out from mouse models and from paraneoplastic ataxia, it seems that GRM1 represents a good candidate gene for early-onset ataxia forms, though no GRM1 mutations have thus far been looked for. The aim of this study was to investigate the possible involvement of GRM1 in early-onset or familial forms of ataxia. We searched for gene mutations in a panel of patients with early-onset ataxia as yet molecularly undefined. No causative mutations were found, though we detected synonymous variants in the exons and changes in flanking intronic sequences which are unlikely to alter correct splicing upon bioinformatics prediction. As for other known forms of inherited ataxias, absence of mutations in GRM1 seems to suggest a relatively low frequency in cerebellar ataxias.
PMID: 19924463 [PubMed - as supplied by publisher]
SitesIdentify: a protein functional site prediction tool.
BMC Bioinformatics. 2009 Nov 18;10(1):379
Authors: Bray T, Chan P, Bougouffa S, Greaves R, Doig AJ, Warwicker J
ABSTRACT: BACKGROUND: The rate of protein structures being deposited in the Protein Data Bank surpasses the capacity to experimentally characterise them and therefore computational methods to analyse these structures have become increasingly important. Identifying the region of the protein most likely to be involved in function is useful in order to gain information about its potential role. There are many available approaches to predict functional site, but many are not made available via a publicly-accessible application. RESULTS: Here we present a functional site prediction tool (SitesIdentify), based on combining sequence conservation information with geometry-based cleft identification, that is freely available via a web-server. We have shown that SitesIdentify compares favourably to other functional site prediction tools in a comparison of seven methods on a non-redundant set of 237 enzymes with annotated active sites. CONCLUSIONS: SitesIdentify is able to produce comparable accuracy in predicting functional sites to its closest available counterpart, but in addition achieves improved accuracy for proteins with few characterised homologues. SitesIdentify is available via a webserver at www.manchester.ac.uk/bioinformatics/sitesidentify/
PMID: 19922660 [PubMed - as supplied by publisher]
Findings in Early TB Infection
New Genetic Evidence for First Americans
Reduced Colorectral Cancer Risk With Hormone Therapy
Childhood Trauma Connection and Risk for Chronic Fatigue Syndrome
Dual Role Gene Plays Part in Breast Cancers with Poor Prognosis
Insight Into Aggressive Childhood Cancer
New Genetic Markers for Ulcerative Colitis
Novel Glioblastoma Mouse Model
New Way To Fuse Cells
Aquaculture Growth ContinuingFor more click here:Science News
![[أربيك]](http://www.molecularstation.com/translate/images/flag_ar.gif){kind=small}
