Evaluation of models determined by neutron diffraction and proposed improvements to their validation and deposition

By D. Liebschner, Pavel V. Afonine, Nigel W. Moriarty, P. Langan, Paul D. Adams. 2018

13 citations recorded by the source corpus.

Models of crystal structures determined by neutron diffraction and deposited in the Protein Data Bank to date were analysed. The lessons learned from this data-mining effort are summarized and suggestions for improvements to the deposition and validation of neutron models are outlined.

Subfields: Materials Chemistry, Molecular 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. Paul D. Adams
2. Pavel V. Afonine
3. Randy J. Read
4. T. C. Terwilliger
5. Nigel W. Moriarty
6. T. Croll
7. A. McCoy
8. Jane S. Richardson

In Molecular Biology

1. Paul D. Adams
2. Pavel V. Afonine
3. Randy J. Read
4. T. C. Terwilliger
5. Nigel W. Moriarty
6. T. Croll
7. A. McCoy
8. Jane S. Richardson

Citations in the corpus

• Macromolecular structure determination using X-rays, neutrons and electrons: recent developments in Phenix (2019, methodology): “This is of particular use for models determined by neutron diffraction (Liebschner et al., 2018).”