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      CASTp: computed atlas of surface topography of proteins with structural and topographical mapping of functionally annotated residues

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          Abstract

          Cavities on a proteins surface as well as specific amino acid positioning within it create the physicochemical properties needed for a protein to perform its function. CASTp ( http://cast.engr.uic.edu) is an online tool that locates and measures pockets and voids on 3D protein structures. This new version of CASTp includes annotated functional information of specific residues on the protein structure. The annotations are derived from the Protein Data Bank (PDB), Swiss-Prot, as well as Online Mendelian Inheritance in Man (OMIM), the latter contains information on the variant single nucleotide polymorphisms (SNPs) that are known to cause disease. These annotated residues are mapped to surface pockets, interior voids or other regions of the PDB structures. We use a semi-global pair-wise sequence alignment method to obtain sequence mapping between entries in Swiss-Prot, OMIM and entries in PDB. The updated CASTp web server can be used to study surface features, functional regions and specific roles of key residues of proteins.

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          topoSNP: a topographic database of non-synonymous single nucleotide polymorphisms with and without known disease association.

          The database of topographic mapping of Single Nucleotide Polymorphism (topoSNP) provides an online resource for analyzing non-synonymous SNPs (nsSNPs) that can be mapped onto known 3D structures of proteins. These include disease- associated nsSNPs derived from the Online Mendelian Inheritance in Man (OMIM) database and other nsSNPs derived from dbSNP, a resource at the National Center for Biotechnology Information that catalogs SNPs. TopoSNP further classifies each nsSNP site into three categories based on their geometric location: those located in a surface pocket or an interior void of the protein, those on a convex region or a shallow depressed region, and those that are completely buried in the interior of the protein structure. These unique geometric descriptions provide more detailed mapping of nsSNPs to protein structures. The current release also includes relative entropy of SNPs calculated from multiple sequence alignment as obtained from the Pfam database (a database of protein families and conserved protein motifs) as well as manually adjusted multiple alignments obtained from ClustalW. These structural and conservational data can be useful for studying whether nsSNPs in coding regions are likely to lead to phenotypic changes. TopoSNP includes an interactive structural visualization web interface, as well as downloadable batch data. The database will be updated at regular intervals and can be accessed at: http://gila.bioengr.uic.edu/snp/toposnp.
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            Mendelian inheritance in man: A catalog of human genes and genetic disorders, 12th ed

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              Structural location of disease-associated single-nucleotide polymorphisms

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                Author and article information

                Journal
                Nucleic Acids Res
                Nucleic Acids Research
                Nucleic Acids Research
                Oxford University Press
                0305-1048
                1362-4962
                01 July 2006
                01 July 2006
                14 July 2006
                : 34
                : Web Server issue
                : W116-W118
                Affiliations
                Program in Bioinformatics, Department of Bioengineering, University of Illinois at Chicago Chicago, IL 60612, USA
                Author notes
                *To whom correspondence should be addressed. Tel: +1 312 355 1789; Fax: +1 312 413 2 18; Email: jliang@ 123456uic.edu

                Present addresses: Andrew Binkowski, Argonne National Laboratories, Argonne, IL 60439 USA

                Yaron Turpaz, Affymetrix, Inc., Santa Clara, CA 95051, USA

                Article
                10.1093/nar/gkl282
                1538779
                16844972
                216c65c3-002b-4f48-9a00-dcbfa50b102a
                © The Author 2006. Published by Oxford University Press. All rights reserved

                The online version of this article has been published under an open access model. Users are entitled to use, reproduce, disseminate, or display the open access version of this article for non-commercial purposes provided that: the original authorship is properly and fully attributed; the Journal and Oxford University Press are attributed as the original place of publication with the correct citation details given; if an article is subsequently reproduced or disseminated not in its entirety but only in part or as a derivative work this must be clearly indicated. For commercial re-use, please contact journals.permissions@oxfordjournals.org

                History
                : 09 February 2006
                : 04 March 2006
                : 05 April 2006
                Categories
                Article

                Genetics
                Genetics

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