Development of crystallographic methods for macromolecular crystallography. There has been enormous expansion in the power and applicability of crystallographic methods in biological science, aided first by the increased understanding of theory and the basis of phase determination, and secondly by the huge increase in capacity and power of computing. This allows structures to be solved and completed quickly. New software is being developed and being tested for robustness and ease of use.
Guiding users through the crystallographic tasks. Many researchers now are polyglots, who are not expert in the field of crystallography. It is important that the software available not only performs the necessary calculations, but also provides guidance and feed back to novice users. My emeritus status means that I have the time to work with students and researchers in the laboratory.
- CCP4i2: the new graphical user interface to the CCP4 program suite.
Potterton et al., Acta Crystallogr D Struct Biol., 2018, 74, 68-84
- Forty years of collaborative computational crystallography.
Agirre & Dodson, Protein Sci., 2018, 27, 202-206
- Automating tasks in protein structure determination with the clipper python module.
McNicholas et al., Protein Sci., 2018, 27, 207-216
- Using electron-microscopy images as a model for molecular replacement.
E J Dodson, Acta Crystallogr D: Biol Crystallogr., 2001, 57, 1405-1409.
- Jolly SAD.
Z Dauter, M Dauter and E Dodson E, Acta Crystallogr D: Biol Crystallogr., 2002, 58, 494-506
- Pound-wise but penny-foolish: How well do micromolecules fare in macromolecular refinement?
G J Kleywegt, K Henrick, E J Dodson, D M F van Aalten, Structure, 2003, 11, 1051-1059.
- A modified ACORN to solve protein structures at resolutions of 1.7.ANG. or better.
J-X Yao, M M Woolfson, K S Wilson and E J Dodson, Acta Crystallogr D: Biol Crystallogr., 2005, 61, 1465-1475.