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Cited by 196

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Modeling antibody hypervariable loops: a combined algorithm.

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Martin, A C, Cheetham, J C, Rees, A R·1989·Proceedings of the National Academy of Sciences

Abstract

To be of any value, a predicted model of an antibody combining site should have an accuracy approaching that of antibody structures determined by x-ray crystallography (1.6-2.7 A). A number of modeling protocols have been proposed, which fall into two main categories--those that adopt a knowledge-based approach and those that attempt to construct the hypervariable loop regions of the antibody ab initio. Here we present a combined algorithm requiring no arbitrary decisions on the part of the user, which has been successfully applied to the modeling of the individual loops in two systems: the anti-lysozyme antibody HyHel-5, the crystal structure of which is as a complex with lysozyme [Sheriff, S., Silverton, E. W., Padlan, E. A., Cohen, G. H., Smith-Gill, S. J., Finzel, B. C. & Davies, D. R. (1987) Proc. Natl. Acad. Sci. USA 84, 8075-8079], and the free antigen binding fragment (Fab) of the anti-lysozyme peptide antibody, Gloop2. This protocol may be used with a high degree of confidence to model single-loop replacements, insertions, deletions, and side-chain replacements. In addition, it may be used in conjunction with other modeling protocols as a method by which to model particular loops whose conformations are predicted poorly by these methods.

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Metadata

Authors
Martin, A. C., Cheetham, J. C., & Rees, A. R.
Venue
Proceedings of the National Academy of Sciences
Published
1989-12
Volume
86
Issue
23
Pages
9268-9272
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2060289095
Cited by
196
References
1
FWCI
2.73
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Modeling antibody hypervariable loops: a combined algorithm. https://app.cochat.ai/papers/10.1073/pnas.86.23.9268
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Martin, A. C., Cheetham, J. C., & Rees, A. R. (1989). Modeling antibody hypervariable loops: a combined algorithm. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.86.23.9268

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