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Links tagged with 'cytoplasmic and nuclear receptors'

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IUPHAR-DBDatabase Content

http://www.iuphar-db.org

Protein > Databases

The IUPHAR database is an online reference resource for classes of human drug targets and related proteins. As well as providing recommended nomenclature, the database integrates information on the chemical, genetic, functional and pathophysiological properties of receptors and ion channels, curated and peer-reviewed from the biomedical literature by a network of experts. The database now includes information from four superfamilies in human and rodent model organisms: G protein-coupled receptors, voltage- and ligand-gated ion channels and nuclear hormone receptors (NHRs). New data types for NHRs include details on co-regulators, DNA binding motifs, target genes and 3D structures. The interface provides tools for the visualization and exploration of ligand structure-activity relationships and the structural diversity of compounds active at each target.

NAR Database Issue 2011
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tagsanimals cytoplasmic and nuclear receptors g-protein-coupled receptors humans ion channels ligands pharmaceutical preparations protein databases

NRSASTool Content

http://www.receptors.org/NR/servers/html/

Protein > 3-D Structural Features
Protein > 3-D Structure Prediction
Protein > 3-D Structure Retrieval/Viewing
Protein > Annotation and Function
Protein > Biochemical Features
Protein > Do-it-all Tools for Protein
Protein > Molecular Dynamics and Docking
Protein > Sequence Features

Nuclear Receptor Structure Analysis Server (NRSAS) is a multi-purpose collection of tools for the analyses of nuclear hormone receptors.

NAR Web Server Issue 2003
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tagscytoplasmic and nuclear receptors hormones hydrogen bonding molecular models mutation protein conformation protein structural homology

PipeAlignTool Content

http://bips.u-strasbg.fr/PipeAlign/

Protein > Domains and Motifs
Sequence Comparison > Analysis of Aligned Sequences
Sequence Comparison > Multiple Sequence Alignments

PipeAlign takes one or more protein sequences as input and analyzes them in a five-step process during which searches for sequence homologues, analyses of multiple sequence alignments, and hierarchical relationships between protein subfamilies are performed.

NAR Web Server Issue 2003
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tagsalgorithms amino acid sequence amino acid sequence homology animals bacterial proteins caenorhabditis elegans cluster analysis computational biology conserved sequence cytoplasmic and nuclear receptors factual databases fungal proteins gene expression profiling genetic transcription genomics haemophilus influenzae humans leukemia molecular sequence data phylogeny predictive value of tests protein databases protein sequence analysis proteins pyrococcus reproducibility of results saccharomyces cerevisiae sensitivity and specificity sequence alignment small nuclear ribonucleoproteins