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Making glycoproteins a little bit sweeter with PDB‐REDO
Author(s) -
van Beusekom Bart,
Lütteke Thomas,
Joosten Robbie P.
Publication year - 2018
Publication title -
acta crystallographica section f
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.572
H-Index - 37
ISSN - 2053-230X
DOI - 10.1107/s2053230x18004016
Subject(s) - protein data bank (rcsb pdb) , glycoprotein , protein data bank , computer science , glycosylation , computational biology , software , chemistry , biochemistry , protein structure , bioinformatics , data mining , biology , programming language
Glycosylation is one of the most common forms of protein post‐translational modification, but is also the most complex. Dealing with glycoproteins in structure model building, refinement, validation and PDB deposition is more error‐prone than dealing with nonglycosylated proteins owing to limitations of the experimental data and available software tools. Also, experimentalists are typically less experienced in dealing with carbohydrate residues than with amino‐acid residues. The results of the reannotation and re‐refinement by PDB‐REDO of 8114 glycoprotein structure models from the Protein Data Bank are analyzed. The positive aspects of 3620 reannotations and subsequent refinement, as well as the remaining challenges to obtaining consistently high‐quality carbohydrate models, are discussed.