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Levinthal's paradox

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Levinthal's paradox is a thought experiment in the field of computational protein structure prediction; protein folding seeks a stable energy configuration. An algorithmic search through all possible conformations to identify the minimum energy configuration (the native state) would take an immense duration; however in reality protein folding happens very quickly, even in the case of the most complex structures, suggesting that the transitions are somehow guided into a stable state through an uneven energy landscape.[1]

History

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In 1969, Cyrus Levinthal noted that, because of the very large number of degrees of freedom in an unfolded polypeptide chain, the molecule has an astronomical number of possible conformations. An estimate of 10300 was made in one of his papers[2] (often incorrectly cited as the 1968 paper[3]). For example, a polypeptide of 100 residues will have 200 different phi and psi bond angles, two within each residue. If each of these bond angles can be in one of three stable conformations, the protein may misfold into a maximum of 3200 different conformations (including any possible folding redundancy), not even considering the peptide linkages between each residue or the conformations of the side-chains. Therefore, if a protein were to attain its correctly folded configuration by sequentially sampling all the possible conformations, it would require a time longer than the age of the universe to arrive at its correct native conformation. This is true even if conformations are sampled at rapid (nanosecond or picosecond) rates. The "paradox" is that most small proteins fold spontaneously on a millisecond or even microsecond time scale. The solution to this paradox has been established by computational approaches to protein structure prediction.[4]

Levinthal himself was aware that proteins fold spontaneously and on short timescales. He suggested that the paradox can be resolved if "protein folding is sped up and guided by the rapid formation of local interactions which then determine the further folding of the peptide; this suggests local amino acid sequences which form stable interactions and serve as nucleation points in the folding process".[5] Indeed, the protein folding intermediates and the partially folded transition states were experimentally detected, which explains the fast protein folding. This is also described as protein folding directed within funnel-like energy landscapes.[6][7][8] Some computational approaches to protein structure prediction have sought to identify and simulate the mechanism of protein folding.[9]

Levinthal also suggested that the native structure might have a higher energy, if the lowest energy was not kinetically accessible. An analogy is a rock tumbling down a hillside that lodges in a gully rather than reaching the base.[10]

Levinthal's paradox was cited on the first page of the Scientific Background to the 2024 Nobel Prize in Chemistry (awarded to David Baker, Demis Hassabis, and John M. Jumper for computational protein design and protein structure prediction) by way of demonstrating the sheer scale of the problem given the astronomical number of permutations.[11]

Suggested explanations

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According to Edward Trifonov and Igor Berezovsky, the proteins fold by subunits (modules) of the size of 25–30 amino acids.[12]

See also

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References

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  1. ^ Nelson, David L.; Cox, Michael M.; Lehninger, Albert L. (2017). "Polypeptides Fold Rapidly by a Stepwise Process". Lehninger principles of biochemistry (7th ed.). New York, NY : Houndmills, Basingstoke: W.H. Freeman and Company ; Macmillan Higher Education. ISBN 978-1-4641-2611-6. OCLC 986827885.
  2. ^ Levinthal, Cyrus (1969). "How to Fold Graciously". Mossbauer Spectroscopy in Biological Systems: Proceedings of a Meeting Held at Allerton House, Monticello, Illinois: 22–24. Archived from the original on 2010-10-07.
  3. ^ Levinthal, Cyrus (1968). "Are there pathways for protein folding?" (PDF). Journal de Chimie Physique et de Physico-Chimie Biologique. 65: 44–45. Bibcode:1968JCP....65...44L. doi:10.1051/jcp/1968650044. Archived from the original (PDF) on 2009-09-02.
  4. ^ Zwanzig R, Szabo A, Bagchi B (1992-01-01). "Levinthal's paradox". Proc Natl Acad Sci USA. 89 (1): 20–22. Bibcode:1992PNAS...89...20Z. doi:10.1073/pnas.89.1.20. PMC 48166. PMID 1729690.
  5. ^ Rooman, Marianne Rooman; Yves Dehouck; Jean Marc Kwasigroch; Christophe Biot; Dimitri Gilis (2002). "What is paradoxical about Levinthal Paradox?". Journal of Biomolecular Structure and Dynamics. 20 (3): 327–329. doi:10.1080/07391102.2002.10506850. PMID 12437370. S2CID 6839744.
  6. ^ Dill K; H.S. Chan (1997). "From Levinthal to pathways to funnels". Nat. Struct. Biol. 4 (1): 10–19. doi:10.1038/nsb0197-10. PMID 8989315. S2CID 11557990.
  7. ^ Durup, Jean (1998). "On "Levinthal paradox" and the theory of protein folding". Journal of Molecular Structure. 424 (1–2): 157–169. doi:10.1016/S0166-1280(97)00238-8.
  8. ^ s˘Ali, Andrej; Shakhnovich, Eugene; Karplus, Martin (1994). "How does a protein fold?" (PDF). Nature. 369 (6477): 248–251. Bibcode:1994Natur.369..248S. doi:10.1038/369248a0. PMID 7710478. S2CID 4281915.[permanent dead link]
  9. ^ Karplus, Martin (1997). "The Levinthal paradox: yesterday and today". Folding & Design. 2 (4): S69 – S75. doi:10.1016/S1359-0278(97)00067-9. PMID 9269572.
  10. ^ Hunter, Philip (2006). "Into the fold". EMBO Rep. 7 (3): 249–252. doi:10.1038/sj.embor.7400655. PMC 1456894. PMID 16607393.
  11. ^ https://www.nobelprize.org/uploads/2024/10/advanced-chemistryprize2024.pdf
  12. ^ Berezovsky, Igor N.; Trifonov, Edward N. (2002). "Loop fold structure of proteins: Resolution of Levinthal's paradox" (PDF). Journal of Biomolecular Structure & Dynamics. 20 (1): 5–6. doi:10.1080/07391102.2002.10506817. ISSN 0739-1102. PMID 12144347. S2CID 33174198. Archived from the original (PDF) on 2005-02-12.
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