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Recolector de Ciencia Abierta, RECOLECTA
Part of book or chapter of book . 2013 . Peer-reviewed
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https://doi.org/10.1007/978-94...
Part of book or chapter of book . 2013 . Peer-reviewed
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Phasing Through Location of Small Fragments and Density Modification with ARCIMBOLDO

Authors: Usón, Isabel; Millán, Claudia; Sammito, Massimo; Meindl, Kathrin; Ilarduya, Iñaki M. de; Marino, Ivan de; Rodríguez, Dayté;

Phasing Through Location of Small Fragments and Density Modification with ARCIMBOLDO

Abstract

The International School of Crystallography held a course at the Ettore Majorana Centre in Erice in 1997 on “Direct methods for solving macromolecular structures”. In those days, Dual Space recycling methods, introduced by Hauptman and Weeks had allowed the breakthrough of extending atomic resolution phasing to macromolecules. The largest previously unknown macromolecule to have been phased by such methods was hirustasin at 1.2 Å resolution, with 400 independent atoms. At the time of the meeting, triclinic lysozyme at 1.0 Å, with 1,001 equal atoms was solved with SHELXD. Fifteen years later, ab Initio phasing has pushed the size and resolution limits of the problems it can tackle. Macromolecules with several thousands of atoms in the asymmetric unit can be solved from medium resolution data. One of the successful approaches is the combination of fragment location with the program PHASER and density modification with the program SHELXE in a supercomputing frame. The method is implemented in the program ARCIMBOLDO, described in this chapter

Our work is supported by the Spanish MICINN, CDTI and CSIC (Grants BIO2009-10576; IDC-20101173; predoctoral grants DR, IDM, IMdI; JdC to KM), Generalitat de Catalunya (2009SGR-1036)

Peer Reviewed

Keywords

Fragment search, Ab initio phasing, Supercomputing, Density modification, Molecular replacement

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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