Show simple item record

dc.contributor.authorTovchigrechko, Andrey
dc.contributor.authorVakser, Ilya A.
dc.date.accessioned2015-05-05T20:55:04Z
dc.date.available2015-05-05T20:55:04Z
dc.date.issued2006-07-01
dc.identifier.citationTovchigrechko, A., & Vakser, I. (2006). GRAMM-X public web server for protein-protein docking. Nucleic Acids Research, 34(2), W310-W314. http://www.dx.doi.org/10.1093/nar/gkl206en_US
dc.identifier.urihttp://hdl.handle.net/1808/17606
dc.descriptionThis is the publisher's version, also available electronically from "http://nar.oxfordjournals.org".en_US
dc.description.abstractProtein docking software GRAMM-X and its web interface (http://vakser.bioinformatics.ku.edu/resources/gramm/grammx) extend the original GRAMM Fast Fourier Transformation methodology by employing smoothed potentials, refinement stage, and knowledge-based scoring. The web server frees users from complex installation of database-dependent parallel software and maintaining large hardware resources needed for protein docking simulations. Docking problems submitted to GRAMM-X server are processed by a 320 processor Linux cluster. The server was extensively tested by benchmarking, several months of public use, and participation in the CAPRI server track.en_US
dc.publisherOxford University Pressen_US
dc.titleGRAMM-X public web server for protein-protein dockingen_US
dc.typeArticle
kusw.kuauthorVakser, Ilya A.
kusw.kudepartmentMolecular Biosciencesen_US
dc.identifier.doi10.1093/nar/gkl206
kusw.oaversionScholarly/refereed, publisher version
kusw.oapolicyThis item does not meet KU Open Access policy criteria.
dc.rights.accessrightsopenAccess


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record