PDB Improvement Starts with Data Deposition

By Robbie P. Joosten, G. Vriend. 2007

46 citations recorded by the source corpus.

Subfields: Materials Chemistry, Molecular Biology, Spectroscopy

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. Paul D. Adams
2. Randy J. Read
3. G. Murshudov
4. Jane S. Richardson
5. Robbie P. Joosten
6. Anastassis Perrakis
7. Pavel V. Afonine
8. T. Croll

In Molecular Biology

1. Paul D. Adams
2. Randy J. Read
3. G. Murshudov
4. Robbie P. Joosten
5. Anastassis Perrakis
6. Jane S. Richardson
7. T. Croll
8. F. Long

In Spectroscopy

1. Paul D. Adams
2. Anastassis Perrakis
3. G. Murshudov
4. Robbie P. Joosten
5. Krista Joosten
6. F. Long
7. Jane S. Richardson
8. Janet L. Smith

Citations in the corpus

• The PDB_REDO server for macromolecular structure model optimization (2014, methodology): “Overall geometric quality scores are presented as the percentile rank with respect to all PDB entries (Bernstein et al., 1977; Berman et al., 2007) that are also represented in the PDB_REDO data bank (Joosten & Vriend, 2007).”
• PDB_REDO: constructive validation, more than just looking for errors (2012, methodology): “Making the improved structure models available to the PDB user community through the PDB_REDO data bank (Joosten & Vriend, 2007) was an initial step towards a constructive form of structure validation of deposited structure models.”
• A New Generation of Crystallographic Validation Tools for the Protein Data Bank (2011, methodology): “With the mandatory deposition of structure factors, it is now possible to re-refine all newly-deposited crystal structures, which has been done for the PDB_REDO databank of rerefined PDB entries (Joosten and Vriend, 2007).”