CRANK: new methods for automated macromolecular crystal structure solution.

By S. Ness, R. D. de Graaff, J. Abrahams, Navraj S. Pannu. 2004

111 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. Randy J. Read
2. Paul D. Adams
3. Pavel V. Afonine
4. T. C. Terwilliger
5. G. Bunkoczi
6. A. McCoy
7. Nigel W. Moriarty
8. G. Murshudov

In Molecular Biology

1. Randy J. Read
2. Paul D. Adams
3. T. C. Terwilliger
4. Pavel V. Afonine
5. A. McCoy
6. G. Bunkoczi
7. G. Murshudov
8. Nigel W. Moriarty

In Spectroscopy

1. Randy J. Read
2. A. McCoy
3. G. Bunkoczi
4. Paul D. Adams
5. T. C. Terwilliger
6. Martyn D. Winn
7. R. Oeffner
8. Pavel V. Afonine

Citations in the corpus

• Overview of the CCP4 suite and current developments (2011, methodology): “CRANK thus supports a range of underlying software handling the communication of data and allowing the user to trial different combinations.”
• BALBES: a molecular-replacement pipeline (2007, methodology): “These approaches have already produced several highly automated and very popular software packages for automatic model building and refinement (ARP/wARP; Perrakis et al., 1999) and for automatic phasing and model building [SOLVE/RESOLVE (Terwilliger & Berendzen, 1999), CRANK (Ness et al., 2004) and ”
• The Phenix Software for Automated Determination of Macromolecular Structures (2011, methodology): “Finally, many of the automated methods have been brought together in automated structure solution pipelines such as AutoRickshaw[12], HKL3000[13], Crank[14] and AutoSHARP[15] plus AutoBUSTER[16].”
• Auto-rickshaw: an automated crystal structure determination platform as an efficient tool for the validation of an X-ray diffraction experiment. (2005, unknown): “Examples include CHART (Emsley, 1999), AUTOSHARP (C. Vonrhein, E. Blanc, P. Roversi & G. Bricogne, unpublished work), ACrS (Brunzelle et al., 2003), ADSP (http:// asdp.bnl.gov/), ELVES (Holton & Alber, 2004), APRV (Kroemer et al., 2004) and CRANK (Ness et al., 2004).”
• A multivariate likelihood SIRAS function for phasing and model refinement. (2009, methodology): “…shown that substructure phasing and refinement using a multivariate likelihood function that directly considers the correlation between Friedel pairs in a SAD experiment provides better results than the same Gaussian-based term using anomalous differences (Pannu & Read, 2004; Ness et al., 2004).”
• Direct incorporation of experimental phase information in model refinement. (2004, methodology): “For both test cases, the anomalous substructure was determined, re®ned and phased automatically using the CRANK suite (Ness et al., 2004).”