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Cited by 444

The DOI matches its Crossref record; 31 of the 31 references it cites were found in a registry or an index.

ZRANK: Reranking protein docking predictions with an optimized energy function

Pierce, Brian, Weng, Zhiping·2007·Proteins: Structure, Function, and Bioinformatics

Abstract

Protein–protein docking requires fast and effective methods to quickly discriminate correct from incorrect predictions generated by initial‐stage docking. We have developed and tested a scoring function that utilizes detailed electrostatics, van der Waals, and desolvation to rescore initial‐stage docking predictions. Weights for the scoring terms were optimized for a set of test cases, and this optimized function was then tested on an independent set of nonredundant cases. This program, named ZRANK, is shown to significantly improve the success rate over the initial ZDOCK rankings across a large benchmark. The amount of test cases with No. 1 ranked hits increased from 2 to 11 and from 6 to 12 when predictions from two ZDOCK versions were considered. ZRANK can be applied either as a refinement protocol in itself or as a preprocessing stage to enrich the well‐ranked hits prior to further refinement. Proteins 2007. © 2007 Wiley‐Liss, Inc.

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Metadata

Authors
Pierce, B., & Weng, Z.
Venue
Proteins: Structure, Function, and Bioinformatics
Publisher
Wiley
Published
2007-05
Volume
67
Issue
4
Pages
1078-1086
ISSN
  • 0887-3585 (ISSN-L)
  • 1097-0134
OpenAlex
W2129454543
Cited by
444
References
31
FWCI
5.75
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: ZRANK: Reranking protein docking predictions with an optimized energy function. https://app.cochat.ai/papers/10.1002/prot.21373
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Pierce, B., & Weng, Z. (2007). ZRANK: Reranking protein docking predictions with an optimized energy function. Proteins: Structure, Function, and Bioinformatics. https://doi.org/10.1002/prot.21373

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