The rate of cis-trans conformation errors is increasing in low-resolution crystal structures.

By T. Croll. 2015

20 citations recorded by the source corpus.

How researchers see this paper

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

Macromolecular structure determination using X-rays, neutrons and electrons: recent developments in Phenix (2019, background): “Several rare but serious problems are now flagged if they occur, such as cis-non-Pro peptides, which are genuine (and typically have a clear structural role) for only one in 3000 residues and have been grossly overused, especially at low resolution (Croll, 2015; Williams, Videau et al., 2018).”
Model validation: local diagnosis, correction and when to quit (2018, background): “However, as first pointed out by Croll (2015), in the last ten years there has been an epidemic of their overuse, with >10% of structures containing 30 times too many cis-non-Pro peptides (Fig.”
MolProbity: More and better reference data for improved all‐atom structure validation (2018, background): “Recently, we were alerted to a surprising and improbable increase in the number of cis non-proline peptide bonds being modeled, 49 as shown in the plot (updated) of Figure 9(A).”
ISOLDE: a physically realistic environment for model building into low-resolution electron-density maps (2018, background): “Since nonproline cis bonds are in reality vanishingly rare, at approximately five in 10 000 residues (Stewart et al., 1990; Croll, 2015), tend to be strongly stabilized and well resolved when they do occur, and owing to their unusual conformation may reduce the visibility of other errors, it is…”