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Cited by 455

The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.

ARP/wARP and molecular replacement

Open access
Perrakis, Anastassis, Harkiolaki, Maria, Wilson, Keith S., Lamzin, Victor S.·2001·Acta Crystallographica Section D Biological Crystallography

Abstract

The aim of ARP/wARP is improved automation of model building and refinement in macromolecular crystallography. Once a molecular-replacement solution has been obtained, it is often tedious to refine and rebuild the initial (search) model. ARP/wARP offers three options to automate that task to varying extents: (i) autobuilding of a completely new model based on phases calculated from the molecular-replacement solution, (ii) updating of the initial model by atom addition and deletion to obtain an improved map and (iii) docking of a structure onto a new (or mutated) sequence, followed by rebuilding and refining the side chains in real space. A few examples are presented where ARP/wARP made a considerable difference in the speed of structure solution and/or made possible refinement of otherwise difficult or uninterpretable maps. The resolution range allowing complete autobuilding of protein structures is currently 2.0 Å, but for map improvement considerable advances over more conventional refinement techniques are evident even at 3.2 Å spacing.

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Metadata

Authors
Perrakis, A., Harkiolaki, M., Wilson, K. S., & Lamzin, V. S.
Venue
Acta Crystallographica Section D Biological Crystallography
Published
2001-09-21
Volume
57
Issue
10
Pages
1445-1450
ISSN
0907-4449 (ISSN-L)
OpenAlex
W2118455767
Cited by
455
References
11
FWCI
10.51
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: ARP/wARP and molecular replacement. https://app.cochat.ai/papers/10.1107/s0907444901014007
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Perrakis, A., Harkiolaki, M., Wilson, K. S., & Lamzin, V. S. (2001). ARP/wARP and molecular replacement. Acta Crystallographica Section D Biological Crystallography. https://doi.org/10.1107/s0907444901014007

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.