Ontology highlight
ABSTRACT: Motivation
Chemical cross-linking with mass spectrometry (XL-MS) provides structural information for proteins and protein complexes in the form of crosslinked residue proximity and distance constraints between reactive residues. Utilizing spatial information derived from cross-linked residues can therefore assist with structural modeling of proteins. Selection of computationally derived model structures of proteins remains a major challenge in structural biology. The comparison of site interactions resulting from XL-MS with protein structure contact maps can assist the selection of structural models.Availability and implementation
XLmap was implemented in R and is freely available at: http://brucelab.gs.washington.edu/software.php.Contact
jimbruce@uw.eduSupplementary information
Supplementary data are available at Bioinformatics online.
SUBMITTER: Schweppe DK
PROVIDER: S-EPMC5013974 | biostudies-literature | 2016 Jan
REPOSITORIES: biostudies-literature
Schweppe Devin K DK Chavez Juan D JD Bruce James E JE
Bioinformatics (Oxford, England) 20150926 2
<h4>Motivation</h4>Chemical cross-linking with mass spectrometry (XL-MS) provides structural information for proteins and protein complexes in the form of crosslinked residue proximity and distance constraints between reactive residues. Utilizing spatial information derived from cross-linked residues can therefore assist with structural modeling of proteins. Selection of computationally derived model structures of proteins remains a major challenge in structural biology. The comparison of site i ...[more]