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Cited by 214

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Sidechain torsional potentials and motion of amino acids in porteins: bovine pancreatic trypsin inhibitor.

Open access
Gelin, B R, Karplus, M·1975·Proceedings of the National Academy of Sciences

Abstract

Conformational potentials of sidechains in the bovine pancreatic trypsin inhibitor have been studied with an empirical energy function. Calculated minimumenergy positions are in excellent agreement with the x-ray structure for sidechains in the core or at the surface of the protein; as expected, angles for sidechains that are directed out into the solvent do not agree with the calculated values. The contributions to the potentials are analyzed and compared with the potentials for the free amino acid. Although there is a large restriction in the available conformational space due to nonbonded interactions, the minimum energy positions in the protein are close to those of the free amino acid; the significance of this result is discussed. To estimate the effective barriers for rotation of the aromatic rings (tyrosine and phenylalanine), calculations are done in which the protein is permitted to relax as a function of the ring orientation. Thr resulting barriers, which are much lowere than the rigid rotation barriers, are used to evaluate the rotation rates; comparison is made with the available nuclear magnetic resonance data.

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Metadata

Authors
Gelin, B. R., & Karplus, M.
Venue
Proceedings of the National Academy of Sciences
Published
1975-06
Volume
72
Issue
6
Pages
2002-2006
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2025895105
Cited by
214
References
0
FWCI
5.71
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Sidechain torsional potentials and motion of amino acids in porteins: bovine pancreatic trypsin inhibitor. https://app.cochat.ai/papers/10.1073/pnas.72.6.2002
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Gelin, B. R., & Karplus, M. (1975). Sidechain torsional potentials and motion of amino acids in porteins: bovine pancreatic trypsin inhibitor. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.72.6.2002

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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.