Abstract
Background. Long-range communication is very common in proteins but the physical basis of this phenomenon remains unclear. In order to gain insight into this problem, we decided to explore whether long-range interactions exist in lattice models of proteins. Lattice models of proteins have proven to capture some of the basic properties of real proteins and, thus, can be used for elucidating general principles of protein stability and folding. Results. Using a computational version of double-mutant cycle analysis, we show that long-range interactions emerge in lattice models even though they are not an input feature of them. The coupling energy of both short- and long-range pairwise interactions is found to become more positive (destabilizing) in a linear fashion with increasing 'contact-frequency', an entropic term that corresponds to the fraction of states in the conformational ensemble of the sequence in which the pair of residues is in contact. A mathematical derivation of the linear dependence of the coupling energy on 'contact-frequency' is provided. Conclusion. Our work shows how 'contact-frequency' should be taken into account in attempts to stabilize proteins by introducing (or stabilizing) contacts in the native state and/or through 'negative design' of non-native contacts.
Original language | English |
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Article number | 4 |
Journal | BMC Structural Biology |
Volume | 9 |
DOIs | |
State | Published - 2009 |
Externally published | Yes |
Bibliographical note
Funding Information:We thank Profs. Gilad Haran, Michael Levitt and John Moult for useful comments on an earlier draft of this paper and Etai Jacob for providing us with source codes for lattice model calculations. This work was supported by grant 1339/08 of the Israel Science Foundation to R.U. O.N.-B. was supported in part by a Fellowship from the Kahn Family Research Center for Systems Biology of the Human Cell and the Kimmelman Center for Macromolecular Assembly.
Funding
We thank Profs. Gilad Haran, Michael Levitt and John Moult for useful comments on an earlier draft of this paper and Etai Jacob for providing us with source codes for lattice model calculations. This work was supported by grant 1339/08 of the Israel Science Foundation to R.U. O.N.-B. was supported in part by a Fellowship from the Kahn Family Research Center for Systems Biology of the Human Cell and the Kimmelman Center for Macromolecular Assembly.
Funders | Funder number |
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Kahn Family Research Center for Systems Biology | |
Kimmelman Center for Macromolecular Assembly | |
Israel Science Foundation |