XLmap: an R package to visualize and score protein structure models based on sites of protein cross-linking
Author(s) -
Devin K. Schweppe,
Juan D. Chavez,
James E. Bruce
Publication year - 2015
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btv519
Subject(s) - computer science , protein structure , software , computational biology , structural biology , protein structure prediction , structural bioinformatics , selection (genetic algorithm) , structural genomics , mass spectrometry , data mining , chemistry , bioinformatics , biochemistry , biology , artificial intelligence , programming language , chromatography
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.
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