1998
DOI: 10.1107/s0907444998007100
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Databases in Protein Crystallography

Abstract: Applications of structural databases in the protein crystallographic structure determination process are reviewed, using mostly examples from work carried out by the authors. Four application areas are discussed: model building, model re®nement, model validation and model analysis.

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Cited by 506 publications
(435 citation statements)
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“…Bond lengths for the thioester sulfur were derived from TOPPIX01 (33) in the Cambridge Structural Database. Atom names for the 4′ phosphopantetheine, stearate and decanoate heavy atoms were taken from the residues PNS, STE, and DKA, respectively, in the HIC-UP small molecule library (34). Protons were numbered according to the attached heavy atom, and an additional designator (1, 2, or 3) was appended to specify prochiral and methyl protons.…”
Section: Xplor Model Buildingmentioning
confidence: 99%
“…Bond lengths for the thioester sulfur were derived from TOPPIX01 (33) in the Cambridge Structural Database. Atom names for the 4′ phosphopantetheine, stearate and decanoate heavy atoms were taken from the residues PNS, STE, and DKA, respectively, in the HIC-UP small molecule library (34). Protons were numbered according to the attached heavy atom, and an additional designator (1, 2, or 3) was appended to specify prochiral and methyl protons.…”
Section: Xplor Model Buildingmentioning
confidence: 99%
“…31 Similarly, there are numerous databases that allow searching of the PDB for compounds present in protein-ligand complexes. [32][33][34][35] Unfortunately, these databases lack the ability to globally compare an active site identifi ed for a novel protein against the entire structural database, irrespective of the identity of the bound ligand, to determine the relative similarity in the sequence and structure of the active sites.…”
mentioning
confidence: 99%
“…Numerous groups have tried to make high-quality small molecules derived from PDB more easily accessible through online resources such as PDBsum [6], HIC-up [7] or MSD [8]. Nevertheless, these datasets are still riddled with errors and/or missing information.…”
Section: Introductionmentioning
confidence: 99%