Automatic rebuilding and optimization of crystallographic structures in the Protein Data Bank

By Robbie P. Joosten, Krista Joosten, Serge X. Cohen, G. Vriend, Anastassis Perrakis. 2011

93 citations recorded by the source corpus.

Motivation: Macromolecular crystal structures in the Protein Data Bank (PDB) are a key source of structural insight into biological processes. These structures, some >30 years old, were constructed with methods of their era. With PDB_REDO, we aim to automatically optimize these structures to better fit their corresponding experimental data, passing the benefits of new methods in crystallography on to a wide base of non-crystallographer structure users. Results: We developed new algorithms to allow automatic rebuilding and remodeling of main chain peptide bonds and side chains in crystallographic electron density maps, and incorporated these and further enhancements in the PDB_REDO procedure. Applying the updated PDB_REDO to the oldest, but also to some of the newest models in the PDB, corrects existing modeling errors and brings these models to a higher quality, as judged by standard validation methods. Availability and Implementation: The PDB_REDO database and links to all software are available at http://www.cmbi.ru.nl/pdb_redo. Contact: r.joosten@nki.nl; a.perrakis@nki.nl Supplementary Information: Supplementary data are available at Bioinformatics online.

Subfields: Materials Chemistry, Molecular Biology, Structural Biology

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Materials Chemistry

  1. Robbie P. Joosten
  2. Anastassis Perrakis
  3. G. Murshudov
  4. F. Long
  5. G. Vriend
  6. Krista Joosten
  7. Elmar Krieger
  8. Tim A. H. te Beek

In Molecular Biology

  1. Robbie P. Joosten
  2. Anastassis Perrakis
  3. G. Murshudov
  4. F. Long
  5. G. Vriend
  6. Krista Joosten
  7. Elmar Krieger
  8. Tim A. H. te Beek

In Structural Biology

  1. G. Murshudov

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