Allosteric changes in protein structure computed by a simple mechanical model: Hemoglobin T ↔ R2 transition

Chunyan Xu, Dror Tobi, I. Bahar

Research output: Contribution to journalArticlepeer-review

164 Scopus citations

Abstract

Information on protein dynamics has been usually inferred from spectroscopic studies of parts of the proteins, or indirectly from the comparison of the conformations assumed in the presence of different substrates or ligands. While molecular simulations also provide information on protein dynamics, they usually suffer from incomplete sampling of conformational space, and become prohibitively expensive when exploring the collective dynamics of large macromolecular structures. Here, we explore the dynamics of a well-studied allosteric protein, hemoglobin (Hb), to show that a simple mechanical model based on Gaussian fluctuations of residues can efficiently predict the transition between the tense (T, unliganded) and relaxed (R or R2, O2 or CO-bound) forms of Hb. The passage from T into R2 is shown to be favored by the global mode of motion, which, in turn is driven by entropic effects. The major difference between the dynamics of the T and R2 forms is the loss of the hinge-bending role of α12 (or α21) interfacial residues at αPhe36-His45 and βThr87-Asn102 in the R2 form, which implies a decreased cooperativity in the higher affinity (R2) form of Hb, consistent with many experimental studies. The involvement of the proximal histidine βHis92 in this hinge region suggests that the allosteric propagation of the local structural changes (induced upon O2 binding) into global ones occur via hinge regions. This is the first demonstration that there is an intrinsic tendency of Hb to undergo T→R2 transition, induced by purely elastic forces of entropic origin that are uniquely defined for the particular contact topology of the T form.

Original languageEnglish
Pages (from-to)153-168
Number of pages16
JournalJournal of Molecular Biology
Volume333
Issue number1
DOIs
StatePublished - 2003
Externally publishedYes

Keywords

  • Allostery
  • Anisotropic network model
  • Gaussian network model
  • Hemoglobin

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