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Cited by 400

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

An empirical energy function for threading protein sequence through the folding motif

Bryant, Stephen H., Lawrence, Charles E.·1993·Proteins: Structure, Function, and Bioinformatics

Abstract

In this paper we present a new residue contact potantial derived by statistical analysis of protein crystal structures. This gives mean hydrophobic and pairwise contact energies as a function of residue type and distance interval. To test the accuracy of this potential we generate model structures by “threading” different sequences through backbone folding motifs found in the structural data base. We find that conformational energies calculated by summing contact potentials show perfect specificity in matching the correct sequences with each globular folding motif in a 161‐protcin data set. They also identify correct models with the core folding motifs of heme‐rythrin and immunoglobulin McPC603 V 1‐do‐ main, among millions of alternatives possible when we align subsequences with α‐helices and β‐strands, and allow for variation in the lengths of intervening loops. We suggest that contact potentials reflect important constraints on nonbonded interaction in native proteins, and that “threading” may be useful for structure prediction by recognition of folding motif. © 1993 Wiley‐Liss, Inc.

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Metadata

Authors
Bryant, S. H., & Lawrence, C. E.
Venue
Proteins: Structure, Function, and Bioinformatics
Publisher
Wiley
Published
1993-05
Volume
16
Issue
1
Pages
92-112
ISSN
  • 0887-3585 (ISSN-L)
  • 1097-0134
OpenAlex
W2136739161
Cited by
400
References
3
FWCI
12.24
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: An empirical energy function for threading protein sequence through the folding motif. https://app.cochat.ai/papers/10.1002/prot.340160110
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Bryant, S. H., & Lawrence, C. E. (1993). An empirical energy function for threading protein sequence through the folding motif. Proteins: Structure, Function, and Bioinformatics. https://doi.org/10.1002/prot.340160110

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

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