The DOI matches its Crossref record; 43 of the 43 references it cites were found in a registry or an index.
De novo design of the hydrophobic cores of proteins
Open accessAbstract
We have developed and experimentally tested a novel computational approach for the de novo design of hydrophobic cores. A pair of computer programs has been written, the first of which creates a “custom” rotamer library for potential hydrophobic residues, based on the backbone structure of the protein of interest. The second program uses a genetic algorithm to globally optimize for a low energy core sequence and structure, using the custom rotamer library as input. Success of the programs in predicting the sequences of native proteins indicates that they should be effective tools for protein design. Using these programs, we have designed and engineered several variants of the phage 434 cro protein, containing five, seven, or eight sequence changes in the hydrophobic core. As controls, we have produced a variant consisting of a randomly generated core with six sequence changes but equal volume relative to the native core and a variant with a “minimalist” core containing predominantly leucine residues. Two of the designs, including one with eight core sequence changes, have thermal stabilities comparable to the native protein, whereas the third design and the minimalist protein are significantly destabilized. The randomly designed control is completely unfolded under equivalent conditions. These results suggest that rational de novo design of hydrophobic cores is feasible, and stress the importance of specific packing interactions for the stability of proteins. A surprising aspect of the results is that all of the variants display highly cooperative thermal denaturation curves and reasonably dispersed NMR spectra. This suggests that the non‐core residues of a protein play a significant role in determining the uniqueness of the folded structure.
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Cited by
Computational design of antibody-affinity improvement beyond in vivo maturation
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Challenges in the computational design of proteins
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Metadata
- Authors
- Desjarlais, J. R., & Handel, T. M.
- Venue
- Protein Science
- Publisher
- Wiley
- Published
- 1995-10
- Volume
- 4
- Issue
- 10
- Pages
- 2006-2018
- ISSN
- 0961-8368 (ISSN-L)
- 1469-896X
- OpenAlex
- W1985907120
- Cited by
- 306
- References
- 43
- FWCI
- 5.57
- Type
- journal article
- Language
- en
- Open access
- bronze
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