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Three-dimensional structure of a genetically engineered variant of porcine growth hormone.

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Abdel-Meguid, S S, Shieh, H S, Smith, W W, Dayringer, H E, Violand, B N, Bentle, L A·1987·Proceedings of the National Academy of Sciences

Abstract

The three-dimensional structure of a genetically engineered variant of porcine growth hormone, methionyl porcine somatotropin (MPS), has been determined at 2.8-A resolution, using single crystal x-ray diffraction techniques. Phases were obtained by use of a single isomorphous K2OsCl6 derivative and were improved by use of the density modification procedure. The MPS structure is predominantly helical. It consists mainly of four antiparallel alpha-helices arranged in a left twisted helical bundle, a structural motif observed in a number of other unrelated proteins. However, the way the four helices are connected in the bundle is unusual and, to our knowledge, has never been reported before. Alignment of the amino acid sequence of MPS with that of other growth hormones reveals that residues within the alpha-helices are predominantly invariant and thus these invariant residues are necessary to maintain the structural integrity of these proteins.

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Metadata

Authors
Abdel-Meguid, S. S., Shieh, H. S., Smith, W. W., Dayringer, H. E., Violand, B. N., & Bentle, L. A.
Venue
Proceedings of the National Academy of Sciences
Published
1987-09
Volume
84
Issue
18
Pages
6434-6437
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2168059460
Cited by
458
References
0
FWCI
34.36
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Three-dimensional structure of a genetically engineered variant of porcine growth hormone. https://app.cochat.ai/papers/10.1073/pnas.84.18.6434
The paper
Abdel-Meguid, S. S., Shieh, H. S., Smith, W. W., Dayringer, H. E., Violand, B. N., & Bentle, L. A. (1987). Three-dimensional structure of a genetically engineered variant of porcine growth hormone. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.84.18.6434

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