The role of dynamic conformational ensembles in biomolecular recognition - PubMed (original) (raw)
Review
The role of dynamic conformational ensembles in biomolecular recognition
David D Boehr et al. Nat Chem Biol. 2009 Nov.
Erratum in
- Nat Chem Biol. 2009 Dec;5(12):954
Abstract
Molecular recognition is central to all biological processes. For the past 50 years, Koshland's 'induced fit' hypothesis has been the textbook explanation for molecular recognition events. However, recent experimental evidence supports an alternative mechanism. 'Conformational selection' postulates that all protein conformations pre-exist, and the ligand selects the most favored conformation. Following binding the ensemble undergoes a population shift, redistributing the conformational states. Both conformational selection and induced fit appear to play roles. Following binding by a primary conformational selection event, optimization of side chain and backbone interactions is likely to proceed by an induced fit mechanism. Conformational selection has been observed for protein-ligand, protein-protein, protein-DNA, protein-RNA and RNA-ligand interactions. These data support a new molecular recognition paradigm for processes as diverse as signaling, catalysis, gene regulation and protein aggregation in disease, which has the potential to significantly impact our views and strategies in drug design, biomolecular engineering and molecular evolution.
Figures
Figure 1
Thermodynamic cycle for molecular recognition processes involving induced fit or conformational selection. In conformational selection, the binding competent conformation (red, P2) is pre-existing in solution prior to the addition of ligand (L). The kinetic and thermodynamic rate constants can determine if conformational selection or induced fit is more likely,
Figure 2
Conformational selection in protein-ligand interactions observed by NMR R2 relaxation dispersion experiments. (a) Locations of conformational exchange are indicated as spheres on the structure of DHFR (pdb 1rx5). (b) A linear correlation between Δω (chemical shift difference between ground-state and higher energy conformations) from R2 relaxation dispersion experiments of the product binary complex of DHFR (enzyme bound with tetrahydrofolate (E:THF)) and Δδ from ground-state chemical shift differences between product binary and ternary (enzyme bound with tetrahydrofolate and NADPH cofactor (E:THF:NADPH)) complexes indicate that the higher energy conformation of the product binary complex is structurally similar to the ground-state of the product ternary complex (i.e. chemical shifts of the higher energy conformation of the product binary complex are similar to the chemical shifts of the ground-state conformation of the product ternary complex) (data taken from ref41). (c) The binding of the NADPH cofactor changes the free energy landscape of the enzyme. Structurally similar conformations are colored alike.
Figure 3
A schematic illustration of molecular recognition processes involving ubiquitin. The NMR-derived conformational ensemble of ubiquitin indicates that all bound conformations exist in the absence of protein binding partners (left). Although the conformational ensemble encompasses all forty six of the known crystal structures of ubiquitin, only five are shown here for clarity (pdb 1f9j, 1s1q, 1xd3, 2d36 and 2g45). The free energy landscapes are hypothetical considering that the relative population of each conformation in the ensemble and the energy barriers separating the conformations are not known.
Figure 4
DNA recognition by the lac repressor headpiece. Differences in structure (left) and dynamics (middle) between (A) lac repressor headpiece in the free state (PDB code 1lqc), (B) lac repressor headpiece bound to noncognate DNA (pdb 1osl) and (C) lac repressor headpiece bound to cognate DNA (1l1m). The middle column shows Rex, the contribution to the NMR R2 transverse rate constant from μs-ms time scale conformational fluctuations, mapped onto the structures of the lac repressor protein. (Adapted from ref with permission from the American Chemical Society). The free energy landscape (shown schematically on the right) is rough, with many interconverting substates in the complex of lac repressor headpiece with noncognate DNA, but a single dominant conformation is formed in the complex with cognate DNA.
Similar articles
- Understanding biomolecular motion, recognition, and allostery by use of conformational ensembles.
Fenwick RB, Esteban-Martín S, Salvatella X. Fenwick RB, et al. Eur Biophys J. 2011 Dec;40(12):1339-55. doi: 10.1007/s00249-011-0754-8. Epub 2011 Nov 17. Eur Biophys J. 2011. PMID: 22089251 Free PMC article. Review. - Evidence of conformational selection driving the formation of ligand binding sites in protein-protein interfaces.
Bohnuud T, Kozakov D, Vajda S. Bohnuud T, et al. PLoS Comput Biol. 2014 Oct 2;10(10):e1003872. doi: 10.1371/journal.pcbi.1003872. eCollection 2014 Oct. PLoS Comput Biol. 2014. PMID: 25275445 Free PMC article. - Single molecule insights on conformational selection and induced fit mechanism.
Hatzakis NS. Hatzakis NS. Biophys Chem. 2014 Feb;186:46-54. doi: 10.1016/j.bpc.2013.11.003. Epub 2013 Nov 13. Biophys Chem. 2014. PMID: 24342874 Review. - Conformational selection is a dominant mechanism of ligand binding.
Vogt AD, Di Cera E. Vogt AD, et al. Biochemistry. 2013 Aug 27;52(34):5723-9. doi: 10.1021/bi400929b. Epub 2013 Aug 15. Biochemistry. 2013. PMID: 23947609 Free PMC article. - Conformational readout of RNA by small ligands.
Kligun E, Mandel-Gutfreund Y. Kligun E, et al. RNA Biol. 2013 Jun;10(6):982-9. doi: 10.4161/rna.24682. Epub 2013 Apr 16. RNA Biol. 2013. PMID: 23618839 Free PMC article.
Cited by
- Markov state models provide insights into dynamic modulation of protein function.
Shukla D, Hernández CX, Weber JK, Pande VS. Shukla D, et al. Acc Chem Res. 2015 Feb 17;48(2):414-22. doi: 10.1021/ar5002999. Epub 2015 Jan 3. Acc Chem Res. 2015. PMID: 25625937 Free PMC article. Review. - Intrinsic dynamics of an extended hydrophobic core in the S. cerevisiae RNase III dsRBD contributes to recognition of specific RNA binding sites.
Hartman E, Wang Z, Zhang Q, Roy K, Chanfreau G, Feigon J. Hartman E, et al. J Mol Biol. 2013 Feb 8;425(3):546-62. doi: 10.1016/j.jmb.2012.11.025. Epub 2012 Nov 28. J Mol Biol. 2013. PMID: 23201338 Free PMC article. - Ubiquitin chain conformation regulates recognition and activity of interacting proteins.
Ye Y, Blaser G, Horrocks MH, Ruedas-Rama MJ, Ibrahim S, Zhukov AA, Orte A, Klenerman D, Jackson SE, Komander D. Ye Y, et al. Nature. 2012 Dec 13;492(7428):266-70. doi: 10.1038/nature11722. Epub 2012 Dec 2. Nature. 2012. PMID: 23201676 Free PMC article. - How to Distinguish Conformational Selection and Induced Fit Based on Chemical Relaxation Rates.
Paul F, Weikl TR. Paul F, et al. PLoS Comput Biol. 2016 Sep 16;12(9):e1005067. doi: 10.1371/journal.pcbi.1005067. eCollection 2016 Sep. PLoS Comput Biol. 2016. PMID: 27636092 Free PMC article. - Incorporating Sequence-Dependent DNA Shape and Dynamics into Transcriptome Data Analysis.
Kalsan M, Jabeen A, Ahmad S. Kalsan M, et al. Methods Mol Biol. 2024;2812:317-343. doi: 10.1007/978-1-0716-3886-6_18. Methods Mol Biol. 2024. PMID: 39068371
References
- Fischer E. Einfluss der configuration auf die Wirkung der Enzyme. Ber Dtsch Chem Ges. 1894;27:2984–2993.
- Frauenfelder H, Sligar SG, Wolynes PG. The energy landscapes and motions of proteins. Science. 1991;254:1598–603. - PubMed
- Ma B, Kumar S, Tsai CJ, Nussinov R. Folding funnels and binding mechanisms. Protein Eng. 1999;12:713–20. - PubMed
Publication types
MeSH terms
Substances
Grants and funding
- GM75995/GM/NIGMS NIH HHS/United States
- R01 GM075995/GM/NIGMS NIH HHS/United States
- ImNIH/Intramural NIH HHS/United States
- N01 CO012400/CO/NCI NIH HHS/United States
- CA96865/CA/NCI NIH HHS/United States
- N01CO12400/CA/NCI NIH HHS/United States
- R01 CA096865-09/CA/NCI NIH HHS/United States
- N01-CO-12400/CO/NCI NIH HHS/United States
- R01 CA096865/CA/NCI NIH HHS/United States
- R01 GM075995-05/GM/NIGMS NIH HHS/United States
LinkOut - more resources
Full Text Sources
Other Literature Sources
Miscellaneous