<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Mayrose, Itay</style></author><author><style face="normal" font="default" size="100%">Penn, Osnat</style></author><author><style face="normal" font="default" size="100%">Erez, Elana</style></author><author><style face="normal" font="default" size="100%">Rubinstein, Nimrod D</style></author><author><style face="normal" font="default" size="100%">Shlomi, Tomer</style></author><author><style face="normal" font="default" size="100%">Freund, Natalia Tarnovitski</style></author><author><style face="normal" font="default" size="100%">Bublil, Erez M</style></author><author><style face="normal" font="default" size="100%">Ruppin, Eytan</style></author><author><style face="normal" font="default" size="100%">Sharan, Roded</style></author><author><style face="normal" font="default" size="100%">Gershoni, Jonathan M</style></author><author><style face="normal" font="default" size="100%">Martz, Eric</style></author><author><style face="normal" font="default" size="100%">Pupko, Tal</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Pepitope: epitope mapping from affinity-selected peptides.</style></title><secondary-title><style face="normal" font="default" size="100%">Bioinformatics</style></secondary-title><alt-title><style face="normal" font="default" size="100%">Bioinformatics</style></alt-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Algorithms</style></keyword><keyword><style  face="normal" font="default" size="100%">Amino Acid Sequence</style></keyword><keyword><style  face="normal" font="default" size="100%">Binding Sites</style></keyword><keyword><style  face="normal" font="default" size="100%">Epitope Mapping</style></keyword><keyword><style  face="normal" font="default" size="100%">Molecular Sequence Data</style></keyword><keyword><style  face="normal" font="default" size="100%">Peptides</style></keyword><keyword><style  face="normal" font="default" size="100%">Protein Binding</style></keyword><keyword><style  face="normal" font="default" size="100%">Sequence Alignment</style></keyword><keyword><style  face="normal" font="default" size="100%">Sequence Analysis, Protein</style></keyword><keyword><style  face="normal" font="default" size="100%">Software</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2007</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2007 Dec 1</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">23</style></volume><pages><style face="normal" font="default" size="100%">3244-6</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">Identifying the epitope to which an antibody binds is central for many immunological applications such as drug design and vaccine development. The Pepitope server is a web-based tool that aims at predicting discontinuous epitopes based on a set of peptides that were affinity-selected against a monoclonal antibody of interest. The server implements three different algorithms for epitope mapping: PepSurf, Mapitope, and a combination of the two. The rationale behind these algorithms is that the set of peptides mimics the genuine epitope in terms of physicochemical properties and spatial organization. When the three-dimensional (3D) structure of the antigen is known, the information in these peptides can be used to computationally infer the corresponding epitope. A user-friendly web interface and a graphical tool that allows viewing the predicted epitopes were developed. Pepitope can also be applied for inferring other types of protein-protein interactions beyond the immunological context, and as a general tool for aligning linear sequences to a 3D structure. AVAILABILITY: http://pepitope.tau.ac.il/</style></abstract><issue><style face="normal" font="default" size="100%">23</style></issue><custom1><style face="normal" font="default" size="100%">http://www.ncbi.nlm.nih.gov/pubmed/17977889?dopt=Abstract</style></custom1></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Glaser, Fabian</style></author><author><style face="normal" font="default" size="100%">Pupko, Tal</style></author><author><style face="normal" font="default" size="100%">Paz, Inbal</style></author><author><style face="normal" font="default" size="100%">Bell, Rachel E</style></author><author><style face="normal" font="default" size="100%">Bechor-Shental, Dalit</style></author><author><style face="normal" font="default" size="100%">Martz, Eric</style></author><author><style face="normal" font="default" size="100%">Ben-Tal, Nir</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">ConSurf: identification of functional regions in proteins by surface-mapping of phylogenetic information.</style></title><secondary-title><style face="normal" font="default" size="100%">Bioinformatics</style></secondary-title><alt-title><style face="normal" font="default" size="100%">Bioinformatics</style></alt-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Amino Acids</style></keyword><keyword><style  face="normal" font="default" size="100%">bcl-X Protein</style></keyword><keyword><style  face="normal" font="default" size="100%">Conserved Sequence</style></keyword><keyword><style  face="normal" font="default" size="100%">Databases, Protein</style></keyword><keyword><style  face="normal" font="default" size="100%">Evolution, Molecular</style></keyword><keyword><style  face="normal" font="default" size="100%">Internet</style></keyword><keyword><style  face="normal" font="default" size="100%">Phylogeny</style></keyword><keyword><style  face="normal" font="default" size="100%">Protein Conformation</style></keyword><keyword><style  face="normal" font="default" size="100%">Proteins</style></keyword><keyword><style  face="normal" font="default" size="100%">Proto-Oncogene Proteins c-bcl-2</style></keyword><keyword><style  face="normal" font="default" size="100%">Sequence Alignment</style></keyword><keyword><style  face="normal" font="default" size="100%">Sequence Analysis, Protein</style></keyword><keyword><style  face="normal" font="default" size="100%">User-Computer Interface</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2003</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2003 Jan</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">19</style></volume><pages><style face="normal" font="default" size="100%">163-4</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">We recently developed algorithmic tools for the identification of functionally important regions in proteins of known three dimensional structure by estimating the degree of conservation of the amino-acid sites among their close sequence homologues. Projecting the conservation grades onto the molecular surface of these proteins reveals patches of highly conserved (or occasionally highly variable) residues that are often of important biological function. We present a new web server, ConSurf, which automates these algorithmic tools. ConSurf may be used for high-throughput characterization of functional regions in proteins. AVAILABILITY: The ConSurf web server is available at:http://consurf.tau.ac.il. SUPPLEMENTARY INFORMATION: A set of examples is available at http://consurf.tau.ac.il under 'GALLERY'.</style></abstract><issue><style face="normal" font="default" size="100%">1</style></issue><custom1><style face="normal" font="default" size="100%">http://www.ncbi.nlm.nih.gov/pubmed/12499312?dopt=Abstract</style></custom1></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Martz, Eric</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Protein Explorer: easy yet powerful macromolecular visualization.</style></title><secondary-title><style face="normal" font="default" size="100%">Trends Biochem Sci</style></secondary-title><alt-title><style face="normal" font="default" size="100%">Trends Biochem. Sci.</style></alt-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Computational Biology</style></keyword><keyword><style  face="normal" font="default" size="100%">DNA</style></keyword><keyword><style  face="normal" font="default" size="100%">Evolution, Molecular</style></keyword><keyword><style  face="normal" font="default" size="100%">Macromolecular Substances</style></keyword><keyword><style  face="normal" font="default" size="100%">Protein Structure, Secondary</style></keyword><keyword><style  face="normal" font="default" size="100%">Proteins</style></keyword><keyword><style  face="normal" font="default" size="100%">Sequence Alignment</style></keyword><keyword><style  face="normal" font="default" size="100%">Software</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2002</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2002 Feb</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">27</style></volume><pages><style face="normal" font="default" size="100%">107-9</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">Protein Explorer (PE, http://www.proteinexplorer.org) enables students, educators and other nonspecialists to visualize macromolecular structures easily. It also offers several advanced capabilities useful to protein structure specialists. Great attention has been given to making PE easy to use. Explanations, color keys and troubleshooting information are displayed automatically. There are also 'Frequently Asked Questions', a one-hour 'Quick-Tour', an alphabetical 'Help/Index/Glossary', and a detailed 'Tutorial'; all making PE much easier to use than either Chime or RasMol. Moreover, it is much more powerful; in addition to basic macromolecular visualization capabilities common to most similar programs, it offers one-click visualization of interfaces between moieties ('contacts'), cation-pi interactions and salt bridges, as well as easy-to-use routines to visualize regions of conservation in three-dimensional protein structures based on multiple sequence alignments.</style></abstract><issue><style face="normal" font="default" size="100%">2</style></issue><custom1><style face="normal" font="default" size="100%">http://www.ncbi.nlm.nih.gov/pubmed/11852249?dopt=Abstract</style></custom1></record></records></xml>