Unknown

Dataset Information

0

CCRXP: exploring clusters of conserved residues in protein structures.


ABSTRACT: Conserved residues forming tightly packed clusters have been shown to be energy hot spots in both protein-protein and protein-DNA complexes. A number of analyses on these clusters of conserved residues (CCRs) have been reported, all pointing to a crucial role that these clusters play in protein function, especially protein-protein and protein-DNA interactions. However, currently there is no publicly available tool to automatically detect such clusters. Here, we present a web server that takes a coordinate file in PDB format as input and automatically executes all the steps to identify CCRs in protein structures. In addition, it calculates the structural properties of each residue and of the CCRs. We also present statistics to show that CCRs, determined by these procedures, are significantly enriched in 'hot spots' in protein-protein and protein-RNA complexes, which supplements our more detailed similar results on protein-DNA complexes. We expect that CCRXP web server will be useful in studies of protein structures and their interactions and selecting mutagenesis targets. The web server can be accessed at http://ccrxp.netasa.org.

SUBMITTER: Ahmad S 

PROVIDER: S-EPMC2896124 | biostudies-literature | 2010 Jul

REPOSITORIES: biostudies-literature

altmetric image

Publications

CCRXP: exploring clusters of conserved residues in protein structures.

Ahmad Shandar S   Ahmad Shandar S   Keskin Ozlem O   Mizuguchi Kenji K   Sarai Akinori A   Nussinov Ruth R  

Nucleic acids research 20100510 Web Server issue


Conserved residues forming tightly packed clusters have been shown to be energy hot spots in both protein-protein and protein-DNA complexes. A number of analyses on these clusters of conserved residues (CCRs) have been reported, all pointing to a crucial role that these clusters play in protein function, especially protein-protein and protein-DNA interactions. However, currently there is no publicly available tool to automatically detect such clusters. Here, we present a web server that takes a  ...[more]

Similar Datasets

| S-EPMC38674 | biostudies-literature
| S-EPMC2254393 | biostudies-literature
| S-EPMC7059846 | biostudies-literature
| S-EPMC1181194 | biostudies-other
| S-EPMC5474883 | biostudies-literature
| S-EPMC2292389 | biostudies-literature
| S-EPMC38673 | biostudies-other
| S-EPMC2973819 | biostudies-literature
| S-EPMC5576787 | biostudies-literature
| S-EPMC2921594 | biostudies-literature