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Detection of native‐like models for amino acid sequences of unknown three‐dimensional structure in a data base of known protein conformations
Abstract
We present an approach which can be used to identify native‐like folds in a data base of protein conformations in the absence of any sequence homology to proteins in the data base. The method is based on a knowledge‐based force field derived from a set of known protein conformations. A given sequence is mounted on all conformations in the data base andthe associated energies are calculated. Using several conformations and sequences from the globin family we show that the native conformation is identified correctly. In fact the resolution of the force field is high enough to discriminate between a native fold and several closely related conformations. We then apply the procedure to several globins of known sequence but unknown three dimensional structure. The homology of these sequences to globins of known structures in the data base ranges from 49 to 17%. Withone exception we find that for all globin sequences one of the known globinfolds is identified as the most favorable conformation. These results are obtained using a force field derived from a data base devoid of globins of known structure. We briefly discuss useful applications in protein structurlresearch and future development of our approach. © 1992 Wiley‐Liss, Inc.
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Cites
Principles that Govern the Folding of Protein Chains
Anfinsen, C. B. (1973) · Science · doi:10.1126/science.181.4096.223 · Cited by 7,096
Cited by
Combining evolutionary information and neural networks to predict protein secondary structure
Rost, B., & Sander, C. (1994) · Proteins: Structure, Function, and Bioinformatics · doi:10.1002/prot.340190108 · Cited by 1,452
Can correct protein models be identified?
Wallner, B., & Elofsson, A. (2003) · Protein Science · doi:10.1110/ps.0236803 · Cited by 710
Al-Lazikani, B., Jung, J., Xiang, Z., & Honig, B. (2001) · Current Opinion in Chemical Biology · doi:10.1016/s1367-5931(00)00164-2 · Cited by 316
Computational prediction of protein–protein binding affinities
Siebenmorgen, T., & Zacharias, M. (2020) · WIREs Computational Molecular Science · doi:10.1002/wcms.1448 · Cited by 184
“59 64 The potentials differ in the resolution of the interface description.”
BackgroundDe novo and inverse folding predictions of protein structure and dynamics
Godzik, A., Kolinski, A., & Skolnick, J. (1993) · Journal of Computer-Aided Molecular Design · doi:10.1007/bf02337559 · Cited by 91
Metadata
- Authors
- Sippl, M. J., & Weitckus, S.
- Venue
- Proteins: Structure, Function, and Bioinformatics
- Publisher
- Wiley
- Published
- 1992-07
- Volume
- 13
- Issue
- 3
- Pages
- 258-271
- ISSN
- 0887-3585 (ISSN-L)
- 1097-0134
- OpenAlex
- W2016411902
- Cited by
- 235
- References
- 1
- FWCI
- 7.13
- Type
- journal article
- Language
- en
- Open access
- closed
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- Sippl, M. J., & Weitckus, S. (1992). Detection of native‐like models for amino acid sequences of unknown three‐dimensional structure in a data base of known protein conformations. Proteins: Structure, Function, and Bioinformatics. https://doi.org/10.1002/prot.340130308
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