Hostname: page-component-586b7cd67f-t7czq Total loading time: 0 Render date: 2024-11-30T23:21:31.992Z Has data issue: false hasContentIssue false

Evaluating the electron density model by applying an imaginary modification

Published online by Cambridge University Press:  18 December 2017

Hui Li*
Affiliation:
Beijing University of Technology, Beijing 100124, China
Meng He*
Affiliation:
CAS Key Laboratory of Nanosystem and Hierarchical Fabrication, CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology, Beijing 100190, China School of Physical Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
Ze Zhang
Affiliation:
Zhejiang University, Hangzhou 310014, China
*
a)Author to whom correspondence should be addressed. Electronic mail: [email protected], [email protected]
a)Author to whom correspondence should be addressed. Electronic mail: [email protected], [email protected]

Abstract

A function has been proposed to evaluate the electron density model constructed by inverse Fourier transform using the observed structure amplitudes and trial phase set. The strategy of this function is applying an imaginary electron density modification to the model, and then measuring how well the calculated structure amplitudes of the modified model matches the expected structure amplitudes for the modified correct model. Since the correct model is not available in advance, a method has been developed to estimate the structure amplitudes of the modified correct model. With the estimated structure amplitudes of the modified correct model, the evaluation function can be calculated approximately. Limited tests on simulated diffraction data indicate that this evaluation function may be valid at the data resolution better than 2.5 Å.

Type
Technical Articles
Copyright
Copyright © International Centre for Diffraction Data 2017 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Burla, M. C., Carrozzini, B., Cascarano, G. L., Giacovazzo, C. and Polidori, G. (2017). “MPF, a multipurpose figure of merit for phasing procedures,” Acta Crystallogr. A 73, 6976.CrossRefGoogle ScholarPubMed
Czugler, M., Weber, E., Parkanyi, L., Korkas, P. P. and Bombicz, P. (2003). “Supermolecular [6]chochin and ‘Big mac’ made from chiral piedfort assemblies,” Chem. A Eur. J. 9, 37413747.Google Scholar
Karle, J. and Hauptman, H. A. (1950). “The phases and magnitudes of the structure factors,” Acta Crystallogr. A 3, 181187.CrossRefGoogle Scholar
Li, H., He, M. and Zhang, Z. (2015). “Image definition evaluation functions for X-ray crystallography: a new perspective on the phase problem,” Acta Crystallogr. A 71, 526533.CrossRefGoogle ScholarPubMed
Oszlányi, G. and Sütő, A. (2004). “ Ab initio structure solution by charge flipping,” Acta Crystallogr. A 60, 134141.Google Scholar
Oszlányi, G. and Sütő, A. (2008). “The charge flipping algorithm,” Acta Crystallogr. A 64, 123134.Google Scholar
Wilson, A. J. C. (1942). “Determination of absolute from relative X-Ray intensity data,” Nature 150, 151152.CrossRefGoogle Scholar
Woolfson, M. M. (1987). “Direct methods – from birth to maturity,” Acta Crystallogr. A 43, 593612.Google Scholar
Woolfson, M. M. and Fan, H. F. (1995). Physical and non-Physical Methods of Solving Crystal Structure (Cambridge University Press, Cambridge).CrossRefGoogle Scholar
Wu, J. S., Spence, J. C. H., O'Keeffe, M. and Groy, T. L. (2004). “Application of a modified Oszlányi and Sütő ab initio charge-flipping algorithm to experimental data,” Acta Crystallogr. A 60, 326330.CrossRefGoogle ScholarPubMed